I build the data infrastructure and AI systems that modern businesses actually need — not just pipelines that move data, but intelligent platforms where AI agents can reason, act, and deliver results. With a background in mathematics and 5+ years across data engineering, AI, and cloud architecture, I sit at the convergence point that defines 2026: where data pipelines meet agentic AI. I don't just build ETL — I build the context layer that makes AI useful. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 𝗡𝗼𝘄 I currently work as an AI & Data Engineer building MCP (Model Context Protocol) server infrastructure and authoring structured conversation datasets used to train production LLMs. This is hands-on agentic AI work — designing tool-calling schemas, orchestrating multi-step reasoning flows, and engineering the context that turns a base model into a reliable autonomous agent. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 I design and build tool-using AI agents with real-world integrations — not chatbot wrappers, but systems that connect to databases, APIs, and business logic through MCP and structured tool definitions. My work spans conversation dataset authoring for SFT, RAG pipeline design, prompt and context engineering, and multi-agent orchestration. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 I architect end-to-end data platforms that serve both analytics and AI workloads. This includes batch and real-time streaming pipelines (Kafka, Airflow, PubSub), cloud-native data warehouses (Snowflake, BigQuery), and the transformation layers that turn raw data into AI-ready assets — embeddings, feature stores, and structured context for LLM consumption. 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 I design scalable, cost-conscious architectures across AWS, Azure, and GCP. Whether it's provisioning compute for model training, building event-driven data flows, or managing multi-cloud deployments with Terraform, I focus on infrastructure that accelerates your AI initiatives rather than bottlenecking them. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 I bridge the gap between "we have data" and "we have AI that works." Most teams today need someone who understands both the data plumbing and the AI layer on top — that's exactly where I operate. I bring engineering discipline to AI projects and AI fluency to data engineering work. 𝗕𝗲𝘆𝗼𝗻𝗱 𝗪𝗼𝗿𝗸 Chess player, Korean drama fan, and hiker. 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻: MS Mathematics 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 • Cloud Data Engineer • IBM Data Science • Deep Learning Specialization • TensorFlow Developer • MLOps (ML Engineering for Production) • Python & Full-Stack Development 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 Agentic AI & MCP · LLM Fine-Tuning (SFT) · Context & Prompt Engineering · RAG Pipelines · Data Pipeline Architecture · Real-Time Streaming · MLOps · Cloud Architecture (AWS, Azure, GCP) · Data Modeling · API Design 𝗧𝗼𝗼𝗹𝘀 Python · PySpark · LangChain · Hugging Face · Kafka · Airflow · Snowflake · BigQuery · Terraform · Docker · Git · Flask · Django

𝐄𝐯𝐞𝐫𝐲 𝐡𝐨𝐮𝐫 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐬𝐩𝐞𝐧𝐝𝐬 𝐦𝐚𝐧𝐮𝐚𝐥𝐥𝐲 𝐝𝐨𝐮𝐛𝐥𝐞-𝐜𝐡𝐞𝐜𝐤𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐞𝐫𝐫𝐨𝐫𝐬, 𝐭𝐲𝐩𝐢𝐧𝐠 𝐨𝐮𝐭 𝐬𝐜𝐚𝐧𝐧𝐞𝐝 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐟𝐢𝐞𝐥𝐝𝐬, 𝐨𝐫 𝐡𝐮𝐧𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐬𝐢𝐝𝐞 𝐮𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐟𝐢𝐥𝐞𝐬 𝐢𝐬 𝐝𝐢𝐫𝐞𝐜𝐭 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐰𝐚𝐬𝐭𝐞. I fix that by building intelligent 𝐎𝐂𝐑 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐬 and 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that maintain in live corporate setups, permanently lowering processing costs by up to 60% and protecting your bottom-line revenue. 𝐘𝐨𝐮'𝐫𝐞 𝐥𝐢𝐤𝐞𝐥𝐲 𝐡𝐞𝐫𝐞 𝐛𝐞𝐜𝐚𝐮𝐬𝐞: 🔆Your vision models look perfect in private testing but fail under live camera conditions. 🔆Your current OCR setup reads text poorly and forces your team into manual corrections. 🔆Your data systems are slow because your core software cannot parse messy documents. 🔆You need an expert who builds production code instead of fragile third-party API hooks. 𝐖𝐡𝐚𝐭 𝐈 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐝𝐨: ➜ Deploy high-accuracy vision models for tracking, detection, and crowd tracking. ➜ Build custom OCR document engines to extract clean text from messy files. ➜ Architect secure enterprise RAG systems trained entirely on your database. ➜ Integrate vision and document AI tools into web dashboards and SaaS setups. ➜ Embed lightweight machine learning models directly into mobile applications. ➜ Optimize system latency, backend APIs, and databases for live model traffic. 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤 ➜ Establish clear project specifications before code development starts. ➜ Send quick weekly updates so you know exactly what is happening. ➜ Test all vision and document pipelines under live traffic conditions. ➜ Flag model integration risks early to prevent any unexpected surprises. 𝐏𝐫𝐨𝐨𝐟: 🔆 50+ Custom production-grade AI systems deployed across industries 🔆 95%+ Accuracy achieved in real-world computer vision environments 🔆 70% Reduction in user data search times via engineered RAG channels 🔆 60% Operational cost savings delivered through automated OCR pipelines 𝐒𝐞𝐧𝐝 𝐦𝐞: ➜Your dataset or current machine learning software setup. ➜What is blocking your vision or text extraction pipeline. ➜Your primary target for system performance and accuracy. 𝐈 𝐰𝐢𝐥𝐥 𝐦𝐚𝐩 𝐭𝐡𝐞 𝐟𝐚𝐬𝐭𝐞𝐬𝐭 𝐰𝐚𝐲 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦 𝐰𝐨𝐫𝐤, 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐰𝐢𝐭𝐡𝐢𝐧 𝐨𝐧𝐞 𝐦𝐞𝐬𝐬𝐚𝐠𝐞. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨𝐝𝐚𝐲 𝐭𝐨 𝐠𝐞𝐭 𝐬𝐭𝐚𝐫𝐭𝐞𝐝! Computer Vision Expert, AI/ML Development, Ai Machine Learning, Computer Vision, Cross-Platform Apps, React Native Developer, Full Stack Developer, Php full stack development, Deep learning specialist, MERN Stack Developer, Flutter Developer, Android App Development, AWS (S3, EC2, Lambda), Node.js Developer, Serverless Functions, RESTful APIs, GraphQL APIs, MongoDB, MySQL, Supabase, Python Backend, Backend Integration for AI, Mobile app UI/UX Design, App Prototype Development, python full stack developer, full stack developer react, iOS App Development, Kotlin, Swift, Dart, Native Mobile Applications, Hybrid App Solutions, Mobile App Development, Tablet App Developer, Firebase, AWS (S3, EC2, Lambda), Google Cloud, Node.js Developer, Python Backend, Serverless Functions, GraphQL APIs, MongoDB, RESTful APIs, MySQL, Supabase, Backend Integration for AI, Google Cloud, Firebase

𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 | 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 | 𝐑𝐀𝐆 | 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 | 𝐌𝐂𝐏 | 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 | 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I help startups and enterprises build production-grade AI systems using the latest Agentic AI frameworks, LLMs, and automation platforms. With 8+ years of experience in AI, Machine Learning, Data Engineering, and Full-Stack Development, I specialize in designing intelligent AI agents, autonomous workflows, Retrieval-Augmented Generation (RAG) systems, and enterprise AI solutions that deliver measurable business outcomes. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ✓ Agentic AI Systems ✓ Multi-Agent Architectures ✓ LangGraph & LangChain ✓ Model Context Protocol (MCP) ✓ OpenAI, Claude, Gemini, Llama, Mistral ✓ RAG Pipelines & Knowledge Bases ✓ AI Copilots & Enterprise Assistants ✓ AI Voice Agents (VAPI, Retell AI, Bland AI) ✓ Workflow Automation (n8n, Make, Zapier, GHL) ✓ Vector Databases (Pinecone, Weaviate, Qdrant, Chroma) ✓ AI SaaS Development ✓ Python, FastAPI, Node.js, React ✓ Cloud Deployment (AWS, Azure, GCP) ✓ LLM Fine-Tuning & Evaluation ✓ Prompt Engineering & AI Guardrails 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗜 𝗕𝘂𝗶𝗹𝗱 • AI Customer Support Agents • AI SDR & Sales Automation Agents • Document Intelligence Systems • Enterprise Knowledge Assistants • Research & Analysis Agents • AI-Powered CRM Automation • Voice AI Call Agents • AI Recruiting Assistants • Multi-Agent Business Workflows • Autonomous Task Execution Systems 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸 Agentic AI, AI Agents, Multi-Agent Systems, LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, DSPy, RAG, MCP (Model Context Protocol), Prompt Engineering, LLM Fine-Tuning, OpenAI, Claude, Gemini, Llama, DeepSeek, Mistral, Python, FastAPI, Django, Flask, Node.js, React, PostgreSQL, MongoDB, Pinecone, Qdrant, Weaviate, ChromaDB, n8n, Make, Zapier, GoHighLevel (GHL), AWS, Azure, GCP, Docker, Kubernetes, CI/CD, API Development, Enterprise AI Automation, AI SaaS Development, Vector Databases, Knowledge Graphs, AI Voice Agents, Workflow Automation, Cloud Architecture. Keywords:- AI Agents, Agentic AI, Retrieval-Augmented Generation (RAG), LangGraph, Model Context Protocol (MCP), Large Language Models (LLMs), LLM Engineering, AI Automation, Prompt Engineering, Context Engineering, Function Calling, Tool Calling, Multi-Agent Systems, Autonomous Agents, AI Workflows, Workflow Automation, AI Orchestration, Agent Memory, Vector Database, Embedding Models, Semantic Search, Hybrid Search, Dense Retrieval, Sparse Retrieval, Knowledge Graphs, GraphRAG, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI API, Anthropic Claude, Google Gemini, Mistral AI, DeepSeek, Groq, Ollama, vLLM, TensorRT-LLM, Hugging Face Transformers, Sentence Transformers, FAISS, Pinecone, Weaviate, ChromaDB, Milvus, Qdrant, pgvector, Elasticsearch, BM25, Cross Encoder, Reranking, Context Window, Tokenization, Token Streaming, Structured Output, JSON Mode, Schema Validation, Guardrails AI, Prompt Chaining, Chain of Thought, ReAct, Tree of Thoughts, Self-Consistency, Reflection, Self-Correction, Planning Agents, Task Decomposition, Multi-Step Reasoning, AI Copilots, AI Assistants, Conversational AI, Natural Language Processing (NLP), Natural Language Understanding (NLU), Named Entity Recognition (NER), Intent Recognition, Text Classification, Sentiment Analysis, Document Parsing, OCR, Unstructured Data Processing, Knowledge Retrieval, Document Chunking, Metadata Filtering, Query Expansion, Context Compression, Long-Term Memory, Short-Term Memory, Session Memory, Human-in-the-Loop (HITL), AI Evaluation, LLMOps, MLOps, Prompt Versioning, Model Fine-Tuning, LoRA, QLoRA, PEFT, Quantization, Distillation, Inference Optimization, GPU Inference, Batch Inference, API Integration, REST API, GraphQL API, Webhooks, Server-Sent Events (SSE), FastAPI, Flask, Django, Python, TypeScript, Node.js, Docker, Kubernetes, Redis, RabbitMQ, Apache Kafka, Celery, Airflow, Temporal, n8n, Zapier, OpenTelemetry, LangSmith, Weights & Biases, MLflow, AI Observability, Agent Monitoring, Hallucination Detection, Prompt Injection Prevention, AI Safety, RBAC, OAuth 2.0, JWT Authentication, Secret Management, AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon SageMaker, Cloud Functions, Serverless AI, Edge AI, Multimodal AI, Vision Language Models (VLMs), Speech-to-Text, Text-to-Speech, Voice AI, Computer Vision, Diffusion Models, Synthetic Data, Knowledge Distillation, Fine-Grained Access Control, AI Governance, Explainable AI (XAI), Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), Agent Benchmarking, Retrieval Pipelines, Intelligent Automation

I help hardware startups and product teams build production-ready embedded systems across firmware, embedded Linux, IOT and edge AI. Top Rated Plus | 100% Job Success | 19,000+ Upwork hours | 78 Jobs Completed My strongest work is turning prototypes into stable, testable, production-ready systems: MCU firmware, hardware bring-up, connectivity, embedded Linux gateways, MQTT/AWS IoT telemetry, camera pipelines, and edge-AI inference. EMBEDDED FIRMWARE • ESP32 / ESP-IDF firmware for Wi-Fi, BLE, sensors, MQTT, OTA, and cloud-connected devices • STM32 firmware with FreeRTOS, drivers, UART/SPI/I2C/CAN, bootloaders, and hardware bring-up • Nordic nRF52840 / nRF9160 / nRF5340 firmware using Zephyr RTOS, BLE GATT, low-power design, and FOTA • Sensor integration, power optimization, debugging, testing, documentation, and source-code handover • Services include ESP32 / ESP-IDF firmware, STM32 firmware, Nordic nRF52/nRF9160, Zephyr RTOS, FreeRTOS, BLE GATT, Wi-Fi, LTE-M, NB-IoT, LoRa, UART/SPI/I2C/CAN, bootloaders, OTA/FOTA, low-power firmware, sensor integration, and hardware bring-up. EMBEDDED LINUX • Yocto / Buildroot Linux images, BSP customization, device tree, kernel configuration, and system services • Raspberry Pi CM4, i.MX6/i.MX8, Linux gateways, modem/networking, MQTT bridges, and production device setup • Linux driver-level debugging, boot issues, hardware interfaces, camera pipelines, and field reliability improvements • Services include Embedded Linux, Yocto, Buildroot, BSP customization, device tree, kernel configuration, Linux device drivers, Raspberry Pi CM4, i.MX6/i.MX8, system services, modem/networking, MQTT gateways, and production device setup. EDGE AI / CAMERA SYSTEMS • OpenCV, YOLO, OCR/ALPR, RTSP streams, object detection, visual inspection, and safety scoring systems • Embedded Linux camera pipelines, edge inference, model integration, performance optimization, and cloud-connected AI workflows • Services include Edge AI, computer vision, OpenCV, YOLO, RTSP camera streams, OCR/ALPR, visual inspection, object detection, driver safety scoring, crack/pothole detection, embedded inference, Jetson, Raspberry Pi, and Coral TPU. BEST-FIT PROJECTS • ESP32 / STM32 / Nordic nRF firmware • BLE wearable and low-power sensor devices • Zephyr RTOS / FreeRTOS systems • IoT devices with MQTT, AWS IoT, OTA, and telemetry • Embedded Linux gateways and Yocto/Buildroot systems • Camera-based edge-AI and computer vision systems If you need someone who can own the embedded system layer — not just patch code — I can help turn your prototype into a reliable product.

I build AI systems that make it from notebook to production, LLM-powered apps, computer vision pipelines, and ML models that ship and stay reliable. With a PhD-level background in AI and 8+ years across data science and full-stack engineering, I help startups and teams turn messy data and ambitious ideas into deployed products that work. My research roots are in healthcare and medical-imaging AI, so I'm comfortable with the hard parts: noisy data, uncertainty, and models that have to be trustworthy, not just accurate. AI & Machine Learning LLMs & Generative AI — OpenAI, Gemini, LangChain, RAG, chatbots & automation Computer Vision — classification, detection, video analysis (incl. medical & surgical video) ML/DL — TensorFlow, PyTorch, Scikit-learn: training, evaluation, deployment MLOps — Vertex AI, BigQuery, model pipelines, monitoring Full-Stack Engineering Backend — FastAPI, Django/DRF, Flask, ASP.NET Core Frontend — Angular, TypeScript, JavaScript Data — PostgreSQL, MySQL, SQL Server, Redis Cloud/DevOps — AWS, Google Cloud, Docker, CI/CD Integrations — OpenAI, Document AI, Stripe, Twilio, Zoom What I can build for you AI apps — LLM assistants, RAG systems, document & data automation Computer vision — image classification, detection, video workflow analysis End-to-end ML pipelines, from data prep to deployment Full-stack platforms — Angular + FastAPI / Django / .NET Why clients work with me Research-grade rigor with production discipline — I ship, then I make it reliable I explain trade-offs in plain language and keep you in the loop Clean, scalable, documented code Tell me what you're trying to build, I'm happy to scope it with you and suggest the simplest path that actually works.

I build credit scoring and loan default prediction models that help lenders approve more good borrowers, cut losses, and make underwriting decisions they can stand behind. I work in Python, and I focus on models that go into production not prototypes that get shelved. Before Upwork, I spent three years as an in-house Data Scientist at Ameriabank, one of Armenia's largest banks, building forecasting and risk models used in live operations. That experience shapes how I work: I care as much about how a model holds up over time and under review as I do about its accuracy on day one. I usually work with: — Fintech and alternative/SME lenders building or improving credit decisioning — Banks and credit unions that need scorecards built, rebuilt, or validated — Risk and analytics teams that need an extra pair of expert hands What I typically deliver: — Credit scoring and application/behavioral scorecards — Loan default prediction and PD models — PD / LGD / EAD modeling and IFRS 9 ECL work [ADD REAL PROJECT DETAIL] — Model validation, monitoring, and clear documentation — Risk segmentation and lending portfolio analytics — Fraud detection models for lending — Risk dashboards and SQL/Python pipelines that replace fragile Excel reporting Tools I rely on: Python (pandas, scikit-learn, statsmodels), XGBoost, LightGBM, logistic regression, and SQL, with FastAPI and Docker when something needs to be deployed. A few honest signals: Top Rated Plus, 100% Job Success, and $40K+ earned on Upwork. On a recent credit scoring project the client's feedback was simply "Highly recommended," and another noted my "amazing knowledge in ML and DS." [ADD REAL METRIC e.g. Gini/AUC, default-rate reduction, or approval-rate lift] How I work is straightforward: a short scoping call, then a clear plan with an honest estimate, then iterative delivery with documentation your team and any reviewer can actually follow. If something isn't the right fit for me, I'll tell you. Send a short message with your problem, your data, and your timeline. I usually reply within a few hours. The first 15-minute scoping call is free.

✅ Milestone-driven delivery with measurable results ✅ Unlimited refinements until you're satisfied ✅ Quality, reliability, and real-world impact come first I build AI-powered assistants, automations, and generative systems that businesses can actually use, not just models, but complete, working solutions. From chatbots that answer questions over your data, to AI agents that automate workflows, to systems that generate content or insights. I focus on turning AI into something practical, scalable, and reliable in production. --- How I Work ✔️ Clear milestones and structured execution ✔️ Fast iterations with regular, tangible deliverables ✔️ Feedback-driven development ✔️ Clean system design that scales beyond MVP --- What I Can Build for You 🔹 AI Chatbots & Assistants – RAG systems, knowledge bots, customer support automation 🔹 AI Agents & Automation – Multi-step workflows, tool-calling agents, business process automation 🔹 Generative AI Systems – Text, image, and content generation pipelines 🔹 Machine Learning Solutions – Predictive models, clustering, recommendation systems 🔹 Computer Vision – Detection, tracking, OCR, segmentation pipelines 🔹 Data Systems – ETL pipelines, analytics workflows, structured data processing --- Tech Stack & Tools 🔹 Languages: Python, SQL, JavaScript, R 🔹 Libraries: Pandas, NumPy, OpenCV, Scikit-Learn, Matplotlib, Seaborn, NLTK, Transformers 🔹 Frameworks: PyTorch, TensorFlow, Keras, LangChain 🔹 Visualization: Power BI, Tableau, Plotly, QGIS, MatLab 🔹 Others: Git, Docker, VS Code, Jupyter, Airflow --- My focus is simple: build AI systems that work reliably in real environments, integrate cleanly with your product, and deliver measurable results, not just prototypes. If you're looking to build an AI system — whether it's a chatbot, automation, or generative tool, I'll help you design it properly and ship it end-to-end. 📩 Let's connect. Share your use case, and I'll propose a clear plan with architecture, milestones, and delivery steps.

Hey there! I’m Hasan and I would love to help you build something great! My experience covers AI agents, chatbots, voice bots, workflow automation, generative AI, computer vision, machine learning and data analytics. I am also quite skilled in developing mobile and web apps. I work with businesses from the initial idea and technical planning through to development, integration and deployment. If you’re looking to build something modern, clean and AI powered, I’m here to help :) 🤝 How I can help you ✅ AI Agents, Chatbots & Voice Bots – Customer support, sales, lead qualification and appointment booking – RAG chatbots, knowledge bases and multi-agent systems – Vapi, Twilio, ElevenLabs, CrewAI and OpenAI integrations ✅ Workflow Automation – n8n, Zapier, Make, Airtable, Shopify, Notion and CRM workflows – Automated sales, marketing, reporting and customer support systems ✅ Web & Mobile App Development – AI-powered SaaS platforms, dashboards and business applications – React, Next.js, React Native, TypeScript, FastAPI and Python – API, database, payment and third-party service integrations ✅ Generative AI & Machine Learning – Content generation, document processing, OCR and prompt engineering – Computer vision, object detection, pose estimation and predictive models – Text-to-image, image-to-image and custom AI applications 🧱️ Technologies I Build With - AI Platforms and Frameworks OpenAI, LangChain, CrewAI, RAG pipelines, embeddings, prompt engineering, Hugging Face, Pinecone, Vapi, Twilio, ElevenLabs, n8n, OpenClaw, Claude, Make and Zapier. - Machine Learning and Computer Vision TensorFlow, PyTorch, OpenCV, YOLO, MediaPipe, OCR, NLP, predictive modelling and fine-tuned models. - Automation, Data and Integrations Airtable, Shopify, Notion, Stripe, Slack, Google Calendar, CRM integrations, custom APIs, web scraping, data pipelines, SQL systems, analytics and live reporting. - Web and App Development React, React Native, Flutter, Next.js, TypeScript, Node.js, FastAPI, Django, Flask, Tailwind, Supabase, Firebase, PostgreSQL and MongoDB. - Cloud and Deployment AWS, GCP, Docker, Runpod and Vercel. 📍 Solutions I Have Developed – Real estate AI voice bot for property enquiries and lead qualification – Multi agent customer support system with CRM and Stripe integration – Real-time Shopify analytics and executive alerting system – AI-powered legal advisory chatbot – Social media content creation and publishing automation – Real time logo recognition and location based promotions platform – AI resource allocation and project management application – Lead generation and market intelligence platform – Fitness tracking application using computer vision – AI powered interior design, fashion and virtual try on tools 🚀 What Sets Me Apart: - Continuous learning and adaptation to new AI technologies. - Strong problem solving abilities and attention to detail. - Exceptional communication and team collaboration skills. - Practical AI solutions built around business outcomes - Experience across agents, automation, voice AI and machine learning - End to end support from planning to deployment - Strong focus on reliability, usability and long term maintainability 🌐 Let's Connect: If you're looking for an AI professional with a deep understanding of various AI domains and a proven track record of success, I'm the right fit for your team or project. Let’s begin working together and create something great :)

I build production-ready AI systems using OpenAI, LangChain, RAG pipelines, and AI agents. Sound with Computer Vision (CV). Recent work includes: • AI voice agents for healthcare • RAG chatbots with vector databases • AI SaaS products using Next.js + Python • Automation systems reducing manual support workload I focus on scalable, deployable AI applications not I have been building intelligent automation systems for over 8+ years. As a dedicated Full-stack and AI/ML Engineer, I have deployed production-grade solutions across E-commerce, Manufacturing, and Customer Service, helping businesses reduce costs, improve efficiency, and unlock new revenue streams. I deliver complete technical execution: from raw data transformation to LLM integration, RAG pipelines, and measurable business impact. If you are ready to build AI systems that cut support tickets by 60%, increase sales by 42%, and deliver real-time insights, send me a message or book a consultation directly from my profile. I respond immediately. ✅ 𝐊𝐄𝐘 𝐀𝐂𝐇𝐈𝐄𝐕𝐄𝐌𝐄𝐍𝐓𝐒: • Designed and implemented a recommendation engine that increased e-commerce sales by 42% in just 90 days • Deployed an AI-powered chatbot, cutting support tickets by 60% and significantly enhancing customer satisfaction • Developed a computer vision solution that reduced defect detection time in manufacturing by 70% • Transform raw data into measurable business impact and operational clarity • Connect fragmented systems and automate workflows for real-time decision-making ✅ 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 𝐀𝐍𝐃 𝐀𝐈 𝐄𝐗𝐄𝐂𝐔𝐓𝐈𝐎𝐍 I build on the high-performance tools that top AI teams rely on: • Machine Learning & Predictive Models: Classification systems, regression analysis, forecasting models with proven ROI • Deep Learning & Computer Vision: CNNs, RNNs, Transformers for defect detection, image recognition, and NLP • Generative AI & LLMs: GPT-4, Gemini, Llama, LangChain, RAG pipelines, vector databases (Pinecone, Weaviate), agentic systems • NLP & Chatbot Development: Conversational AI, intent recognition, sentiment analysis, Open AI APIs, custom fine-tuning • Production & MLOps: Model serving, monitoring, cloud deployment (AWS, Azure, GCP), real-time inference • Automation & Integration: n8n, Make, API-first development, workflow orchestration Every tool in this stack exists to serve one outcome: an intelligent system that is accurate, scalable, and ready to generate real ROI from day one. ✅𝐖𝐇𝐀𝐓 𝐒𝐄𝐓𝐒 𝐌𝐘 𝐀𝐈 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 𝐀𝐏𝐀𝐑𝐓 Most developers hand you a generic chatbot or a broken script and disappear. I own the entire AI lifecycle: data preprocessing, model selection, custom logic, security review, and post-launch iteration. When your business needs to process thousands of customer queries or detect defects in real time, the architecture I build is designed to handle the load without failing. My development framework is built around three principles: Accuracy First (measurable business impact), Full Stack AI Ownership (from raw data to production API), and Business Alignment (I measure success by your cost reduction, conversion rates, and system uptime). ‼️𝐇𝐈𝐑𝐄 𝐌𝐄 𝐈𝐅 𝐘𝐎𝐔 𝐍𝐄𝐄𝐃‼️ 1. An AI Engineer who delivers production-ready models with enterprise-grade reliability 2. An LLM/RAG specialist who connects custom data sources to generative AI for context-aware responses 3. An Agentic System Architect who builds autonomous workflows that reduce manual processes 4. A Chatbot Developer who cuts support costs and improves customer satisfaction 5. A Technical Partner who acts as your "AI Right-Hand," communicates daily, and ships on schedule 𝐖𝐡𝐚𝐭 𝐦𝐲 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: High-accuracy, optimized models with 100% data privacy, modular architecture, and pre-deployment validation on every engagement. 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Integration of enterprise data into GPT/Claude/Gemini pipelines, automated document retrieval, and context-aware agents to give your business a competitive edge. 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞-𝐃𝐫𝐢𝐯𝐞𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Real-time model serving connected to your existing workflows, ensuring your team never waits for insights or manual ticket resolution. I combine advanced AI capabilities with practical business solutions to build systems that create measurable impact. Each project is delivered with comprehensive testing, monitoring, and documentation to ensure scalable, maintainable solutions that provide long-term value. If you're looking to transform your operations with AI that actually delivers results, let's discuss your goals and the challenges you want to solve.

I design production-grade AI automation systems that replace manual workflows, connect fragmented tools, and drive real business outcomes. I’m not just building automations; I’m building end-to-end systems that handle lead flow, customer journeys, backend operations, and AI-driven decision-making. With deep expertise in n8n, Make, APIs, and AI systems, I help companies move from scattered tools to fully automated, scalable infrastructure. ⚡ What I Actually Do I architect and deploy automation systems that: - Capture, qualify, and nurture leads automatically - Connect CRMs, payment systems, and backend APIs - Run AI-powered workflows (GPT, agents, scoring, summarization) - Automate sales pipelines, booking systems, and follow-ups - Process data pipelines (ETL, enrichment, reporting) - Handle multi-client / multi-tenant automation setups 🧠 Real Systems I’ve Built AI Lead Qualification Engine (n8n + GPT + Airtable + Twilio) → Scores leads, triggers follow-ups, books meetings automatically Multi-source Intake System (Webhook + Voicemail + CSV) → Normalizes and routes leads into a unified pipeline AI Content & Ads Automation → Generates ad copy, creatives, and publishes via APIs Research Agent Workflow → Multi-step AI research with structured outputs Backend Automation (GHL → n8n → API systems) → Handles purchases, subscriptions, and provisioning logic 🛠️ Core Stack n8n (advanced workflows, error handling, scaling) Node.js / Make / Zapier OpenAI / AI APIs (GPT, agents, automation logic) REST APIs & Webhooks (custom integrations) Airtable / Google Sheets / CRMs (HubSpot, GHL, etc.) Twilio / SendGrid / WA integrations 🎯 What Makes Me Different Most freelancers automate tasks. I design systems that run your business processes end-to-end. - Built for reliability (error handling, retries, logging) - Designed for scale (multi-client, modular workflows) - Focused on business impact, not just tech 🚀 If You Need: - AI automation replacing manual operations - A robust n8n / Make / backend automated system (not a fragile one) - CRM + API integrations that actually work - A scalable backend automation architecture 👉 I’m the person you bring in. 🤝 Let’s Build Something That Runs Without You Tell me your workflow — I’ll turn it into an automated system.