3,200+ hours on a single AI production system. 100% Job Success. 63 contracts completed. Full overview If you're building an AI agent, LLM-powered app, or intelligent SaaS product — I've likely already shipped something similar. 12,500+ hours on Upwork. 100% Job Success Score. 63 contracts completed. I don't experiment on your project. I bring production-proven patterns for AI systems and scalable cloud architecture. — What I build for clients — AI Agents & LLM Applications RAG pipelines, multi-agent systems, chatbots, and AI workflows using LangChain, LlamaIndex, OpenAI (GPT-4o), Anthropic (Claude), Gemini, and AWS Bedrock. I've spent 3,200+ hours on a single long-term LLM project — I understand what it takes to ship AI that actually works in production, not just in demos. Full-Stack Web Applications React.js / Next.js frontends paired with Node.js (NestJS, ExpressJS) or Python (FastAPI, Django) backends. From architecture design to deployment on AWS ECS, Lambda, and EC2. Cloud Architecture on AWS Bedrock, Cognito, Appsync, Lambda, API Gateway, S3, ECS, RDS, CloudWatch, SES/SNS, Route53. I design systems that scale and don't break at 3am. — My stack in brief — Backend: Node.js (NestJS, ExpressJS, Fastify), Python (FastAPI, Django), TypeScript AI/ML: LangChain, OpenAI, Anthropic Claude, Gemini, AWS Bedrock, Grok Frontend: React.js, Next.js, TypeScript, Redux, Tailwind, Material-UI Databases: PostgreSQL, MongoDB, DynamoDB, MySQL, Firebase, Redis Cloud: AWS (10+ services), Docker, Nginx, Google Cloud Mobile: React Native — Why clients keep coming back — I treat your project like a product, not a task list. I flag risks early, communicate proactively, and write code I'd be comfortable maintaining myself. My 0-4 hour average response time means you're never waiting on a blocker. Ready to start? Send me a message or invite me to your job — I respond within hours.

Proud partner with NVIDIA Inception + MIcrosoft Startups ⭐⭐⭐⭐⭐ "Amazing work with Nitish, very professional and glad..." ⭐⭐⭐⭐⭐ "Professional and with great expertise. A pleasure to work with!" ⭐⭐⭐⭐⭐ "Great attention to detail and v responsive..." ⭐⭐⭐⭐⭐ "Very good developer, Really he saved my time and solved my problem in very short time. Best developer ... on Upwork" ════════════════════════ 🏆 UPWORK ACCREDITATIONS & ACHIEVEMENTS ✅ Top Reinforcement Learning Freelancer in India ✅ Top 5 Computer Vision Engineer in India ✅ Top 10 Machine Learning Engineer in India ✅ Top 10 Deep Learning Experts in India ✅ Best Robot Operating System (ROS) Developers in India ✅ Top PyTorch Freelancer in India ✅ Top 20 Robotics Agency (Robolabs AI) ✅ 100% Job Success Rate with perfect client satisfaction ✅ Top Rated Status with 5-star client reviews ════════════════════════ ⚡ EXPERTISE & SERVICES Specializing in high-performance AI/ML solutions using Python, C++, and MATLAB 🔹 Machine Learning & Reinforcement Learning Chatbots • Recommendation Engines • Autonomous Decision-Making Systems 🔹 Robotics & Autonomous Systems Real-time Localization • Robotic Control • Motion Planning 🔹 Computer Vision Applications Autonomous Vehicles • Surveillance • Quality Control Systems 🔹 Cloud AI Deployment Scalable Solutions on AWS, GCP, Azure • Docker • Kubernetes 🔹 Quality Assurance Rigorous Testing • Top-Performing Models • Enterprise Reliability ════════════════════════ ⚡ TECHNICAL SKILLS 🤖 Robotics: ROS, ROS2, Isaac Sim, SLAM, RL, Gazebo, MoveIT, RoboDK, RPA, End-to-end Learning, Sim2Real, Digital Twin, Robotics Sensors (LiDAR, Stereo Camera, IMU, Odom) 🧠 LLM Development: Supervised Fine-tuning, DRPO with state-of-art models (DeepSeek, o1, o3-mini, Claude Sonnet, Grok, Google Gemini, Mistral) 📊 Machine Learning & Deep Learning: TensorFlow, PyTorch, Keras, Scikit-learn, StableBaselines, XGBoost, LightGBM 💬 NLP: spaCy, NLTK, Hugging Face Transformers, OpenAI API 👁️ Computer Vision: VLMs, OpenCV, YOLO, SAM, SAM2, Point Cloud Library (PCL), Dlib 🎯 Reinforcement Learning: OpenAI Gym, RLlib, Unity ML-Agents 📈 Data Science & Big Data: Pandas, NumPy, Dask, Apache Spark, Hadoop, Presto 🗄️ Data Storage: SQL, MongoDB, Cassandra, Neo4j, Dgraph ☁️ Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD (Jenkins, GitLab CI) 🚀 AI Deployment: ONNX, TensorFlow Serving, NVIDIA Triton, MLflow, FastAPI, Flask 💻 Programming Languages: Python, C++, C, MATLAB 🌐 Web Frameworks: React, Node.js, Flask, Django 🔧 Automation & CRM: Zapier, Make, Salesforce, HubSpot, Airtable, Notion ⚙️ Other Tools: Apache Kafka, Redis, RabbitMQ, Elasticsearch, Prometheus, Grafana ════════════════════════ ⭐ WHY CHOOSE ROBOLABS AI? 🏆 Award-Winning Excellence Backed by Microsoft • Trusted Global Leader • Recognized for Consistent Quality 🌍 Global Presence, Local Commitment Team Members Worldwide • Seamless Support • Round-the-Clock Availability 📊 Proven Track Record 100+ Successfully Delivered Projects • AI-Driven Automation • Intelligent Systems ════════════════════════ ✨ WHAT SETS US APART 🏢 Enterprise-Grade Solutions: From MVP to production systems handling millions of users 🔄 Complete AI Implementation: End-to-end development, deployment, and maintenance 🎯 Industry Expertise: 100+ successful projects across Fortune 500 companies and fast-scaling startups 🚀 Cutting-Edge Technology: Using 2025’s breakthrough AI models and frameworks ════════════════════════ At Robolabs AI, we blend technical expertise with industry insights to create AI solutions that transform your business.

Hello Everyone! I help organizations translate complex business challenges into intelligent solutions, delivering measurable value through predictive models, deep learning, and generative AI. With 5+ years of experience spanning machine learning, MLOps and large language models, I’ve built production‑ready systems that reduce costs, accelerate decision‑making and unlock new revenue streams. 🔧 What I deliver: → 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 – map business problems to predictive models, engineer features, and train algorithms like XGBoost, Random Forest, LightGBM & catboost. Package models as robust APIs or batch jobs. → 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – design and train CNNs, RNNs and transformer models for vision and language using PyTorch, TensorFlow & HuggingFace; optimize for accuracy and latency. → 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞‑𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥‑𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆) – fine‑tune open‑source LLMs on domain data, build RAG pipelines that fetch context from vector databases (Pinecone, FAISS, Weaviate), and implement LoRA/QLoRA adapters. → 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 – build and fine‑tune text‑to‑image/video/code models with Stable Diffusion, DALL·E, MidJourney & Diffusers; integrate GenAI into marketing and design workflows. → 𝐌𝐋𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – containerize models with Docker/Kubernetes, automate CI/CD with MLflow & Airflow, deploy via FastAPI/Flask, and monitor drift with Evidently AI. → 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 – create scalable ETL pipelines and data lakes using PySpark, Snowflake & Kafka to feed GenAI/ML models and ensure data quality. → 𝐀𝐈‑𝐀𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐀𝐠𝐞𝐧𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 – leverage cutting‑edge tools like Claude Code, Cursor, ChatGPT (GPT‑4o/5), Gemini, Grok, GitHub Copilot, Windsurf, Lovable, Bolt.new and v0 for code generation, architecture planning, debugging, research, rapid prototyping and agent development. 🤝 Why work with me: ✓ Proven results: Developed a 𝐑𝐀𝐆‑powered legal assistant that grounded 𝐋𝐋𝐌 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞𝐬 in internal policy documents, cutting contract review time by 𝟔𝟎 %. 𝐁𝐮𝐢𝐥𝐭 𝐚 𝐜𝐡𝐮𝐫𝐧‑𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥 for a 𝐒𝐚𝐚𝐒 client that improved retention by 𝟏𝟓 %. Integrated 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐯𝐢𝐚 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 into a support portal, reducing 𝐚𝐯𝐞𝐫𝐚𝐠𝐞 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐭𝐢𝐦𝐞 𝐟𝐫𝐨𝐦 𝟏𝟓 𝐦𝐢𝐧𝐮𝐭𝐞𝐬 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫 𝟐 𝐦𝐢𝐧𝐮𝐭𝐞𝐬. ✓ End‑to‑end ownership: From problem framing and model development to deployment and monitoring, I handle the full lifecycle and collaborate closely with stakeholders. ✓ Up‑to‑date technologies: I stay current with the latest tools, including 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱, 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧, 𝐌𝐋𝐟𝐥𝐨𝐰, 𝐄𝐯𝐢𝐝𝐞𝐧𝐭𝐥𝐲 𝐀𝐈 𝐚𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 (𝐀𝐖𝐒/𝐆𝐂𝐏/𝐀𝐳𝐮𝐫𝐞), so your solutions are future‑proof. 📢 Let’s talk: If you’re looking for a partner who can turn your data into a competitive advantage or build intelligent products with measurable impact, send me a message today. I’m excited to learn about your business challenges and suggest a tailored AI solution that delivers results.

Agentic AI Engineer who builds production-grade AI agents (voice + multi-agent) and deploys them as reliable cloud systems. If you need an AI Engineer who can take an agent from prototype → secure, observable, scalable deployment, integrate with legacy systems, and keep it stable in production, that’s what I do. 🧠 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐅𝐨𝐫 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 (𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐅𝐢𝐫𝐬𝐭) As an AI Engineer, I design agentic systems that don’t fall apart in real operations: • Tool-using AI agents with strict action boundaries (no hallucinated writes) • Structured outputs (schema validation) + deterministic business rules where needed • Built-in failure handling: retries, fallbacks, human handoff, and safe uncertainty handling 🗣️ 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 (𝐓𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲 + 𝐑𝐞𝐚𝐥𝐭𝐢𝐦𝐞) I’m an AI Engineer specializing in voice AI agents that can handle real calls end-to-end: • Telephony (Twilio-style) inbound/outbound calling, call events, recordings, streaming audio • Streaming pipelines (STT → reasoning → TTS) with low latency and natural turn-taking • “Barge-in” interruption handling, follow-up automation, and post-call summaries • Real outcomes: create/update CRM records, tickets, bookings, and workflows automatically 🔁 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 + 𝐓𝐨𝐨𝐥 𝐑𝐨𝐮𝐭𝐢𝐧𝐠) As an Agentic AI Engineer, I build multi-agent orchestration for complex workflows: • LangGraph-style stateful orchestration: router/supervisor agent + specialist worker agents • Safe tool routing with permissions, validation, and deterministic control points • Long-running workflows with checkpoints, retries, and step-level observability • Common builds: support triage, scheduling, sales qualification, onboarding, document intake ☁️ 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐂𝐥𝐨𝐮𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 (𝐀𝐖𝐒 + 𝐏𝐫𝐨𝐝 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲) This is where most “AI agent demos” fail — I build production systems: • Cloud deployment on AWS (serverless or container-based) with clean environments and CI/CD • Queues, async workers, scheduled jobs, retries, rate limits, and dead-letter handling • Secure API gateways, auth patterns, secret management, and audit logs • Monitoring/observability: logs, metrics, traces, alerting, and runbooks 🔌 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐋𝐞𝐠𝐚𝐜𝐲 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐓𝐡𝐞 𝐑𝐞𝐚𝐥 𝐖𝐨𝐫𝐥𝐝) Most companies have legacy CRMs, messy data, and brittle APIs, I integrate anyway: • Middleware (FastAPI services), webhooks, adapters, and integration layers • Idempotent writes + data validation so agents don’t corrupt systems • Safe, explainable actions so your ops team can trust the automation 🧰 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 • Agentic AI: GPT-4-class models, LangGraph-style orchestration, tool calling, structured outputs • Voice AI: telephony integration, streaming audio, STT/TTS pipelines, call summarization • Cloud: AWS Lambda/containers, queues, event-driven workflows, secure gateways, monitoring • Backend: Python, FastAPI, Postgres, Redis, Webhooks, REST APIs ✅ 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 (𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬) 1. Define workflow + success metrics + failure modes 2. Design agent architecture (single vs multi-agent, tools, permissions, state) 3. Implement voice + tool routing + integrations 4. Harden for production (tests, guardrails, retries, observability) 5. Deploy to the cloud and iterate with real traffic safely 📬 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 (𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞) Send me: • Channel: phone/web voice/app • Systems: CRM/helpdesk/DB/internal APIs • Top 1–2 workflows to automate I’ll respond with a production architecture and a scoped first milestone that delivers measurable impact.

Top Rated Plus ⭐ | 7+ Years Expert in Python, Data Science & Automation 💰 $10M+ Revenue Generated | Proven track record in driving business growth 🌍 Trusted by Global Enterprises | Delivering scalable, high-impact solutions 🤖 Automation Specialist | Streamlining workflows & reducing manual effort 🔍 Data Scraping & Mining Expert | Turning raw data into actionable insights 🔧 End to End ETL Solutions | From data pipelines to dashboards 💼 Client Success Focused | Long term partnerships & exceptional results 🏆 Top Rated Data 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐭 helping businesses transform data chaos → actionable insights with Python, Data Scraping, API Integration and AI powered automation. With 𝟕+ 𝐲𝐞𝐚𝐫𝐬 of experience, I specialize in 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, 𝐃𝐚𝐭𝐚 𝐒𝐜𝐫𝐚𝐩𝐢𝐧𝐠, 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐀𝐏𝐈 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧. I help businesses convert complex data into clear, actionable insights using Python and AI driven solutions, improving efficiency, optimizing workflows and driving data powered growth. 🛠️ Expert in: ► Data Extraction & Web Scraping: Extract structured and unstructured data accurately from various sources using Python, Selenium, and Scrapy. ► Data Analysis & Business Analytics: Provide detailed insights for business and research decision making with tools like Pandas, NumPy, and Matplotlib. ► Data Visualization: Develop interactive, custom dashboards and reports for intuitive data presentation with Tableau, Plotly, and Streamlit. ► API Development & Integration: Design and integrate APIs to enable seamless data exchange between platforms. ► Automation: Automate workflows and tasks using platforms like Zapier, n8n, and Python to boost efficiency. ► Data Engineering: Develop systems for efficient data storage, processing, complex ETL and ELT pipelines, and management using Hadoop, Spark, AWS (S3, Redshift, Lakehouse, Athena, AWS Glue), airflow, SQL, PostgreSQL, and MongoDB. ► Natural Language Processing (NLP): Leverage AI and transformer based frameworks like PyTorch, HuggingFace to interpret and analyze textual data. ► Image Processing & Computer Vision: Leverage Opencv for image processing, multi modal LLMs (Open Source and API based) for data extraction and OCR capabilities from structured, semi structured and unstructured data. ► Agentic Workflows: Well versed with creating complete ai agents based workflows from voice agents, to video generation to creating chatbots with integration with spreadsheets, airtable, google docs, slack, asana, jira and all other tools. 🔧 Technologies I Use ► Programming Languages: Python, JavaScript ► Frameworks: Django, Django REST Framework, Streamlit ► Data Science Tools: Pandas, NumPy, Scipy, Matplotlib, ggplot2, Plotly ► Web Scraping: Scrapy, Selenium, Requests, Playwright ► Visualization Platforms: Looker studio,, AnyChart, Streamlit.io ► Automation Platforms: Zapier, Airtable (Automations, Interfaces, Extensions) ► Spreadsheets & Formats: Google Sheets, Airtable, Excel, CSV, TSV, JSON, XML ► Databases: PostgreSQL, MongoDB ► Generative AI: Openai SDK, Gemini, HuggingFace, ultralytics roboflow, diffusers, mistral, grok, langchain, langgraph ► AI Frameworks: TensorFlow, HuggingFace, PyTorch, OpenCV, Mediapipe ► DevOps: AWS, DigitalOcean, Docker, GitHub Actions, Jenkins With strong hands on experience in Data Science, Python, Data Scraping, API Development, and Automation, I have successfully worked on projects across𝐅𝐢𝐧𝐭𝐞𝐜𝐡, 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞, 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞𝐬, 𝐒𝐚𝐚𝐒, 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 𝐚𝐧𝐝 𝐀𝐈 𝐒𝐭𝐚𝐫𝐭𝐮𝐩𝐬. From building data driven applications from the ground up to redesigning and scaling existing systems, I specialize in optimizing workflows, enhancing data extraction and automating key processes to improve performance and scalability. Leverage AI powered automation and tools like 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐃𝐣𝐚𝐧𝐠𝐨, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 𝐚𝐧𝐝 𝐑𝐞𝐚𝐜𝐭.𝐣𝐬 to streamline operations and deliver measurable business outcomes. My expertise in 𝐃𝐚𝐭𝐚 𝐒𝐜𝐫𝐚𝐩𝐢𝐧𝐠, 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 has enabled me to create intelligent ecosystems that drive user engagement, business growth and increased revenue. 𝐀𝐬 𝐚 𝐅𝐮𝐥𝐥 𝐓𝐢𝐦𝐞 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫, 𝐈 𝐰𝐨𝐫𝐤 𝐜𝐥𝐨𝐬𝐞𝐥𝐲 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮 𝐨𝐫 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐭𝐨 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬, 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐚𝐧𝐝 𝐜𝐫𝐞𝐚𝐭𝐞 𝐬𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐠𝐫𝐨𝐰𝐭𝐡. I engineer data ecosystems that empower businesses to move from manual chaos to business autopilot. 📩 Ready to transform your data into profit? Click the “𝐈𝐧𝐯𝐢𝐭𝐞” button and let’s discuss your business goals.

I build AI agents, n8n automations, and SaaS MVPs that run in production. 100+ projects delivered, 100% Job Success, clients across the US, UK, Canada and Germany. Most AI projects die at the demo stage. They look great in a screen recording and fall apart the first time a real user touches them. Everything I ship gets used by actual customers, handles actual load, and keeps running after I hand it over. AI AGENTS AND AUTOMATION I built a multi agent pipeline for ad creative where one AI agent writes structured ad concepts with compliance rules baked in, a second agent turns those into image prompts, and an image API returns finished visuals in 4:5, 9:16 and 1:1. The whole thing runs on n8n off a schedule trigger and drops the output into a Google Sheets library the client reuses every week. ReplyDude is another one. Its agent layer routes between Claude, GPT-4o, Gemini and Grok depending on what the conversation needs. For Electromart I built Facebook comment automation on n8n with a Groq agent, Gmail alerts and the Facebook Graph API. Another client wanted a support agent that actually remembers people, so that one runs on a Gmail trigger with Postgres chat history hosted on Railway. If a process eats hours of your week, there is usually an automation for it. Lead routing, CRM sync, document processing, alerts that fire only when something matters. n8n, Make, Python scripts, webhooks, whatever the job calls for. AI INTEGRATION AND CHATBOTS Plenty of clients come to me with software that already works and just needs AI in it. I integrated a Gemini chatbot into ClaimSphereRCM, a US medical billing platform. I built AcquiX, a fintech document intelligence tool running on Claude API and Azure Document Intelligence. RAG pipelines, agents with memory, multi step reasoning, all built with Claude API, OpenAI, LangChain and vector databases in Python. Chatbots for websites, internal tools, WhatsApp and support desks, connected to your real data instead of guessing. SAAS MVP DEVELOPMENT Auth, subscriptions, dashboards, multi tenancy, billing. The unglamorous parts that decide whether an MVP survives its first hundred users. AdMultiply is an AI video ad repurposing platform I built for a UK client on Next.js, React, FastAPI and Supabase with TwelveLabs and Stripe wired in. ReplyDude is a desktop app that automates replies across X, Instagram and Reddit, with on chain SOL and USDT payments through Solana and a full admin panel. I have also shipped QuickLead AI for B2B lead generation and Decipher Engine, an AI storytelling platform. I work AI native, which is why a SaaS MVP that usually takes three months takes me three to five weeks. You get real React and Python code in your own repo, tested and deployable. Nothing locked, nothing you cannot hand to another developer later. APIs AND INTEGRATIONS REST, GraphQL, webhooks, OAuth. Stripe, WooCommerce, Solana Web3, Twilio, Google APIs, Facebook Graph API, ElevenLabs. I migrated a Flutter store app off ReachShip onto the WooCommerce REST API with webhook push notifications. If it has an API I can connect it. VOICE AI Inbound and outbound call agents for booking, qualification and support, built with ElevenLabs, Whisper, Twilio and VAPI. Conversational AI that handles a full workflow instead of reading a script. STACK Claude API, OpenAI, Gemini, Grok, LangChain, Pinecone, n8n, Make, Python, FastAPI, Next.js, React, TypeScript, Node.js, Supabase, PostgreSQL, Redis, ElevenLabs, Whisper, VAPI, Twilio, Stripe, Solana Web3, AWS, Vercel, Railway, Docker, Claude Code, Cursor HOW I WORK Milestones agreed before anything starts, so you never get a surprise invoice. You get progress updates and a working deploy you can click through, not a status call. Tell me what you are building and I will tell you straight whether it is a two week job or a two month one, before you spend a dollar on it.

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous agents built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines → MLOps & Production Deployment: • Model training, validation, and deployment pipelines • Docker containerization and cloud deployment (AWS, GCP) • Model monitoring, versioning, and automated retraining • FastAPI and Flask-based ML serving infrastructure → Cloud & DevOps: • AWS deployment and infrastructure management • Docker containerization and Kubernetes orchestration • CI/CD pipeline setup and automation • Performance monitoring and scaling I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

✅ Top Rated Data Engineer | AI Automation Specialist | Power BI Expert | BigQuery | ETL Pipelines | Python | BI Dashboards 📊 Helping businesses build scalable data systems, real-time dashboards, AI-powered automation, and business intelligence solutions that drive smarter decisions. With 10+ years of experience across Data Engineering, Full-Stack Development, Big Data and Machine Learning, I deliver end-to-end solutions from backend architecture and ETL pipelines to Power BI dashboards, AI chatbots and cloud deployment. I specialize in turning complex data into clear business outcomes. 🚀 What I Help Businesses Achieve: • Real-time reporting and decision-making • Automated workflows with AI and n8n • Scalable ETL / ELT pipelines • Power BI / Tableau / Looker dashboards • BigQuery data warehousing • AI Chatbots and LLM-powered assistants • Data cleaning, transformation and optimization • Backend APIs and cloud deployment • Performance optimization for enterprise systems 💻 Core Expertise: ✔ Data Engineering ✔ ETL / ELT Pipelines ✔ BigQuery ✔ Power BI ✔ Tableau ✔ Looker Studio ✔ SQL Optimization ✔ Python Automation ✔ AI Chatbots ✔ LLM Integration ✔ n8n Workflow Automation ✔ FastAPI / Node.js APIs ✔ AWS / GCP Cloud Infrastructure ✔ Dashboard Development ✔ Data Warehousing ✔ Predictive Analytics ✔ Machine Learning Models ⚙ Tools & Technologies: Python, SQL, BigQuery, Power BI, Tableau, Looker Studio, Apache Spark, Kafka, PostgreSQL, MySQL, MongoDB, AWS, GCP, FastAPI, Node.js, Docker, Kubernetes, TensorFlow, PyTorch, ChatGPT, Claude AI, Gemini, Perplexity, Vertex AI, SageMaker, n8n, OpenAI and more. 🏆 Results Delivered: • Built enterprise-grade ETL systems for large-scale reporting • Developed AI-powered chatbot solutions for business automation • Created real-time Power BI dashboards for sales and operations tracking • Improved data flow efficiency through cloud-native pipelines • Delivered analytics systems for eCommerce, construction, and SaaS platforms I focus on business impact not just technical delivery. If you are looking for a reliable Data Engineer and AI Specialist who can build systems that scale, let’s connect.

𝗜𝗳 𝗔𝗜 𝗶𝘀𝗻’𝘁 𝘀𝗮𝘃𝗶𝗻𝗴 𝘆𝗼𝘂 𝘁𝗶𝗺𝗲 𝗼𝗿 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗜’𝗹𝗹 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝘄𝗵𝘆, 𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝗳𝗶𝘅 𝗶𝘁. Most AI projects fail because they focus on tools instead of real business problems. I work as an AI Full Stack Developer building automation systems, LLM applications, RAG pipelines, AI agents and Voice AI solutions that companies actually use in production. With 6+ years of experience, I combine full stack development + AI + automation to build scalable systems that reduce manual work and improve efficiency. Message me, I respond within 15 minutes. Get a free consultation with practical insights on how to build and scale your solution. Key projects include: 🔹 Built an AI Medical Transcription & Automation System (MediScribe) Real-time speech-to-text + LLM pipeline converting consultations into structured medical notes .Reduced documentation workload by 40–60% for healthcare teams .Achieved 25–35% lower latency through optimized inference pipelines .increased overall workflow efficiency by up to 3x through optimized AI pipelines .Implemented Graph RAG + clinical intelligence system for accurate coding & insights 🔹 Developed a RAG-Based Enterprise Chatbot (Scribe IT) Claude-powered system using AWS Bedrock for document search & Q/A .Reduced document search time by 40–60% across enterprise workflows .Improved response accuracy with context-aware retrieval pipelines .Enabled scalable knowledge access across large internal datasets 🔹 Built a Multi-Model AI Chat Application (Smart AI) Supports GPT, Claude, Gemini & more with real-time chat + image generation Built scalable system supporting real-time concurrent users .Reduced response latency via optimized backend + streaming architecture .Delivered cross-platform AI assistant with high user interaction performance 🔹 Built a Real-Time Voice AI Language Tutor (Go-Moalimy) Streaming voice AI with ultra-low latency responses .Achieved sub-second response times using optimized speech pipelines .Delivered human-like conversational experience with real-time streaming .Improved engagement through continuous, natural interaction flow 🔹 Developed an AI-Enabled Financial CRM & Automation Platform Custom CRM with AI transcription, workflows, and analytics .Reduced manual tracking & follow-ups by 30–50% .Improved operational visibility with real-time dashboards .Consolidated multiple tools into a single unified system 🔹 Built an Automation System with WhatsApp Integration End-to-end complaint & workflow management platform .Automated customer communication via WhatsApp API + workflows .Improved response & resolution time by 40% .Reduced manual support workload by 50% What my clients say about me: ⚡️ “I was impressed by Adam’s ability to adapt to evolving project needs and find innovative solutions… exceeded expectations. Highly recommended.” ⚡️ “What really stood out about Muhammad is his ability to solve problems independently… I’m extremely happy with the outcome and highly recommend working with him.” ⚡️ “You're a rare combination of both frontend and backend skills.” ⚡️ “Adam is awesome to work with… clean code and great documentation. Very professional.” ⚡️ “Adam built my project quickly… stayed in touch until everything worked perfectly.” My Core Expertise Includes: AI Development LLMs (OpenAI, Claude) • RAG Pipelines • AI Agents & Agentic Workflows • Conversational AI • Prompt Engineering • AI Automation Systems • OpenAI • Claude Code • Claude API Integrations & Tool Use Full Stack Development: React.js / Next.js / TypeScript • Python (Flask) • Node.js / Express.js • REST APIs • Microservices • Real-time Applications AI Infrastructure: Vector Databases • Semantic Search • Document Intelligence • Voice AI (STT/TTS, Real-time Streaming) • LangChain • LlamaIndex • Multi-Model Orchestration (Claude, GPT, Gemini) Automation & Integrations: Workflow Automation • API Integrations • Webhooks • CRM Automation • WhatsApp API • Email Automation • AI Workflow Automation (n8n, Make, Custom Pipelines) Here’s what working with me looks like 🔹 Clean, scalable full stack architecture 🔹 AI systems that actually automate workflows 🔹Weekly updates + transparent communication 🔹 Built for business outcomes, not hype 🔹 Reliable delivery with performance in mind 🔹 Production-ready delivery (not prototypes) Drop me a message, I usually reply within 15 minutes. I’ll give you a free consultation and the best approach to move your project forward.

Senior AI, Full-Stack & Mobile Application Architect | AI Agents, SaaS & Scalable Product Development I help startups, SaaS companies, and enterprises build intelligent software products that automate operations, accelerate growth, and create competitive advantages. With 10+ years of software engineering experience and deep expertise in Artificial Intelligence, Generative AI, Full-Stack Development, Mobile Applications, and Cloud Infrastructure, I specialize in transforming complex ideas into scalable, production-ready solutions. From AI-powered SaaS platforms and autonomous agent systems to mobile applications and enterprise automation, I bring both technical execution and product thinking to every engagement. AI Systems, Agents & Automation I design and build production-grade AI solutions that go beyond simple chatbot integrations. Core Expertise * AI Agents & Multi-Agent Systems * Agentic Workflows & Autonomous Automation * Generative AI Applications * Retrieval-Augmented Generation (RAG) * Knowledge Bases & AI Assistants * Prompt Engineering & Optimization * AI Voice Agents & Conversational Systems * Document Processing & OCR Solutions * AI-Powered SaaS Products * Workflow Automation & Business Process Optimization AI Technologies OpenAI, Claude, Gemini, Grok, DeepSeek, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, MCP Integrations, Vapi, ElevenLabs, Synthflow Automation Platforms n8n, Make, Zapier, Pipedream, CRM Automation, API Integrations, Workflow Orchestration Mobile Application Development I build high-performance mobile applications for startups, growing businesses, and enterprise organizations. Technologies * React Native * Flutter * Swift & SwiftUI * Kotlin * Java Experience Includes * AI-Powered Mobile Applications * Real-Time Communication Apps * GPS & Location-Based Services * Push Notifications * Offline-First Applications * Subscription & Payment Systems * Health & Fitness Platforms * E-Commerce Applications * On-Demand Marketplaces * Social & Community Platforms Full-Stack SaaS & Web Development From MVP development to enterprise-scale platforms. Frontend React, Next.js, Angular, TypeScript, JavaScript, Tailwind CSS, ShadCN UI, Material UI Backend Node.js, Express, NestJS, Python, FastAPI, Django, Flask APIs & Architecture REST APIs, GraphQL, WebSockets, Microservices, Serverless Applications Databases PostgreSQL, MongoDB, MySQL, Redis, Firebase, Supabase Cloud, DevOps & Infrastructure Building secure, scalable, and maintainable systems designed for long-term growth. Cloud Platforms AWS, Google Cloud, Azure, Firebase, DigitalOcean DevOps Docker, Kubernetes, CI/CD Pipelines, GitHub Actions, GitLab CI, Jenkins Infrastructure Linux, Nginx, Load Balancing, Auto Scaling, Monitoring & Logging, Infrastructure Automation Machine Learning & Emerging Technologies Artificial Intelligence & Machine Learning * Predictive Analytics * Recommendation Systems * Computer Vision * Natural Language Processing * TensorFlow * PyTorch * Scikit-Learn Blockchain & Web3 * Smart Contracts * Solidity Development * Ethereum & Solana Integrations * Wallet Integrations * NFT Platforms * DeFi Applications Industries Served Healthcare, FinTech, Real Estate, E-Commerce, Education, Logistics, Hospitality, Fitness, Marketplaces, AI Startups, SaaS Platforms Why Clients Work With Me * 10+ Years of Software Engineering Experience * AI-First Product Development Approach * Strong Architecture & System Design Expertise * Experience Scaling Products from MVP to Production * Clean, Maintainable & Scalable Code * Clear Communication & Reliable Delivery * Long-Term Technical Partnership Mindset I don't just build software. I help businesses leverage technology, AI, and automation to create measurable business outcomes. Whether you're launching a new product, scaling an existing platform, or integrating AI into your operations, I can help you design, build, and deliver a solution that is reliable, scalable, and built for growth.