🚀 7+ Years of Engineering Excellence: Delivering enterprise AI ecosystems and high-throughput backends across the USA, Europe, Asia and Africa. 🏆 Architect & Founder: Startup founder (AkwaCash) with a $60K+ proven track record on Upwork for building systems that handle tens of thousands of concurrent transactions. ⚙️ The Engineering Focus: I architect production-grade, asynchronous backends for mission-critical workflows. I specialize in integrating AI with stable, scalable enterprise software. 🚀 Founder of JoAmpsConsult 🧩 Fast communication • Clear documentation • Production-ready results ⚙️ WHAT I DO 🔹 Agentic Systems & Orchestration Architecting multi-agentic systems for autonomous reasoning and complex decision-making. I specialize in designing workflows and standardized communication protocols that enable autonomous task completion and system-wide integration. 🔹 High-Performance Backend Engineering Designing distributed, asynchronous architectures optimized for massive concurrency, strict security, and uptime. I build the robust infrastructure and data processing layers required to scale intelligence-driven applications. 🔹 Advanced RAG & Data Engineering Engineering high-precision retrieval systems using hybrid search patterns and complex ETL pipelines. I focus on building grounded, hallucination-free systems that integrate structured and unstructured data sources for enterprise-grade reliability. 🔹 Real-Time Voice AI Systems Building low-latency conversational voice agents using streaming pipelines. I design systems that handle turn-taking, interruptions, and dynamic tool usage, enabling natural, human-like interactions for use cases like support, sales, and scheduling. 🔹 MLOps & Production Rigor Implementing rigorous evaluation frameworks and system-wide observability to ensure services are observable, cost-efficient, and enterprise-ready. I specialize in automated testing, performance benchmarking, and proactive drift monitoring. 🧠 TECH STACK Languages & Frameworks: Python, FastAPI, Flask, LangChain, LangGraph, PyTorch, Hugging Face, TensorFlow, Scikit learn, Pandas, numpy Databases: PostgreSQL, MySQL, MongoDB, Redis, Pinecone Cloud & MLOps: AWS, GCP, Docker, CI/CD, MLflow, W&B, GitHub actions Data Engineering: Airflow, Spark, ETL, Pub/Sub NLP: Text classification, NER, semantic search, embeddings, transformers (BERT, RoBERTa, etc.) Generative AI: GPT models, Gemini, LLaMA, Mistral, RAG, Guardrails, Evaluation Frameworks 💼 WHY CLIENTS HIRE ME ✅ Production-grade AI systems, not prototypes ✅ Deep understanding of both AI + engineering sides ✅ Building robust backend systems ✅ Architecting solutions from the ground up ✅ Clean, scalable code & documentation you can maintain ✅ Fast response time & proactive communication ✅ 100 % focus on measurable business impact ______________________________________________________________________________ KEYWORDS: AI Engineer, Machine Learning Engineer, LLM, LangChain, LangGraph, Hugging Face, RAG, Generative AI, Backend Developer, FastAPI, Python, MLOps, Cloud AI, AWS, GCP, Docker, Kubernetes, Pinecone, NLP, Vector Database, Chatbot Development, Redis, Postgresql, MongoDB, AI Automation, API Development, Agents, Agentic, VoiceAI, voice ai

Looking to build something impactful across WEB & MOBILE with the power of AI and Data that actually moves the needle for your business? I'm a results-driven AI/ML Engineer and Full-Stack Developer with a Master's degree in Artificial Intelligence & Data Science and 5+ years of hands-on experience delivering intelligent, production-ready digital solutions. I bridge the gap between cutting-edge AI and real-world software engineering from raw data pipelines and ML model deployment to polished frontends, mobile apps, and cloud-native microservices. Whether you're a startup building your MVP or an enterprise automating complex workflows, I bring the right mix of technical depth, system thinking, and clean execution to get you there fast, secure, and scalable. 💡 WHAT I DELIVER ✅ Enterprise-grade AI/ML systems and GenAI-powered SaaS products ✅ End-to-end full-stack web and mobile applications ✅ Intelligent automation workflows that save time and reduce cost ✅ Scalable cloud architectures with modern DevOps practices ✅ Clean, maintainable code with production-ready architecture 🧠 AI / MACHINE LEARNING & DATA SCIENCE I design and deploy end-to-end ML systems — from exploratory data analysis and feature engineering to model training, evaluation, and production deployment. Core expertise includes Machine Learning, Deep Learning, NLP, Computer Vision, and Time-Series Forecasting. I work extensively with Large Language Models including GPT-4, Claude, Gemini, Llama 3, and HuggingFace Transformers. I implement Retrieval-Augmented Generation (RAG) for enterprise knowledge systems, build AI Agents and Multi-Agent Systems using LangChain and LangGraph, and manage full MLOps pipelines covering model versioning, monitoring, and retraining. I also work across AWS SageMaker, GCP Vertex AI, and Azure ML Studio for cloud-based ML deployment. Recent AI Projects: - Healthcare: Medical AI assistant converting patient conversations into structured EMR notes - Crypto: AI trading co-pilot for real-time investment decision support - Construction: PDF data extraction engine for architectural and permit documents - IT & Networking: Autonomous agents that proactively detect and resolve network issues - Marketing: AI-driven campaign planning and content generation platform 🤖 AI AUTOMATION & AGENTIC SYSTEMS I build intelligent automation that transforms how businesses operate — reducing manual overhead and unlocking data-driven decision-making at scale. This includes AI Agents for support, compliance, finance, HR, and supply chain workflows, multi-agent environments with autonomous decision-making, and workflow automation using Make, n8n, and Zapier. I also develop Generative AI tools for content generation, market research, and conversational bots. 💻 FULL-STACK WEB DEVELOPMENT I build modern, responsive, and scalable web applications from frontend UI to backend APIs and databases, architected for long-term growth. On the frontend I work with React.js, Next.js, and TypeScript. On the backend I use Node.js, FastAPI, Flask, Django, and Laravel. I design REST APIs, GraphQL, and WebSocket-based real-time systems, and work with databases including PostgreSQL, MySQL, MongoDB, Supabase, and BigchainDB. My architecture approach follows Clean Architecture, Domain-Driven Design, and microservices patterns. 📱 MOBILE APP DEVELOPMENT I deliver cross-platform mobile apps with native-quality performance, real-time features, and seamless API integrations. My primary mobile expertise is Flutter and Dart using Provider and BLoC state management. I also build with React Native for cross-platform iOS and Android, support native iOS development, and implement push notifications, offline support, and real-time features. ☁️ CLOUD, DEVOPS & INFRASTRUCTURE I handle production-grade deployments across major cloud platforms with modern CI/CD pipelines and containerized infrastructure. On AWS I work with Lambda, S3, EC2, ECS, and SageMaker. On GCP I use Cloud Run, Compute Engine, and Vertex AI. On Azure I work with ML Studio and Azure DevOps. My DevOps toolset includes Docker, Kubernetes, Nginx, GitHub Actions, and Bitbucket Pipelines. Programming languages I work in: Python, TypeScript, C++, PHP, Golang, and SQL. 🏆 WHY CLIENTS CHOOSE ME Master's-level AI/ML foundation combined with real production engineering experience. Full-stack ownership means you never need to coordinate multiple developers. I handle everything from data pipelines to UI. I build solutions for scale, not just demos, with clean architecture, proper testing, and documented code. I communicate clearly, deliver on milestones, and have been trusted by startups and tech-focused enterprises across 5+ years of professional work. Free consultation available for high-impact projects. "While rookies write code, professionals design systems that scale." 📩 Let's connect and discuss your project. I'm available to start immediately and deliver results aligned with your business goals.

I am a Data Scientist, AI, Machine Learning, Software Engineer, and certified SEO Content Writer with 15 years of professional experience building software at any scale. I have expertise in Python, R, and SQL programming, and I love to experiment with data and write about it. I am proficient in: ✅ AI Automation Projects: AI Agents ● Agno (Phidata) ● Zapier ● GrogCloud ✅ Data Science and Machine Learning: ● Regression and Classification Models ● Ensemble models ● Data Visualisation with Python and Power BI. ✅ Natural Language Processing (NLP): ● BOW, TF-IDF, W2Vec, Glove Embeddings ● Text classification (including Sentiment Analysis) ● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc.) ● RNNs and LSTMs ✅ Computer Vision (CV): ● Image Classification ● Object Detection (OpenCV, YOLO) ● Instance segmentation / Semantic Segmentation (Mask R-CNN) ● Optical Character Recognition (OCR) and different Computer Vision techniques like CNN, RCNN, Fast RCNN, Faster R-CNN, Mask-R CNN. ✅ Data Analyst (Power BI) ● Experienced Data Analyst with hands-on experience with Power Query Editor and DAX Queries in Power BI. ● Data Analyst, Sales Analyst, Finance Analyst, and Supply Chain Analyst in Power BI. ● Expert in creating various Dashboards and analyzing in detail. ● Importing data from multiple sources and exporting the dashboard to the Power BI Service. ✅ I am a certified SEO content writer and Data Scientist. ✅ Technical Skills ● Python, R, TensorFlow, Keras, PyTorch, Pandas, NumPy, Seaborn, Matplotlib, Plotly, OpenCV, YOLO, BERT, Transformer, NLTK, Mask-RCNN, Google Docs, Microsoft Excel, Microsoft Office, MySQL, Power BI, Java, J2E, Spring, Hibernate. ✅ My website: datasciencehorizon I am committed to delivering high-quality results, and my professional expertise ensures that I can bring a comprehensive and insightful approach to your project. Please review my portfolio and my work history for testimonials from previous clients. Thank you for considering my profile. I look forward to collaborating with you soon.

𝗛𝗶, 𝗜’𝗺 𝗮 𝗦𝗲𝗻𝗶𝗼𝗿 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸, 𝗔𝗜 & 𝗖𝗹𝗼𝘂𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 8+ years of experience building AI-powered products, SaaS platforms, healthcare solutions, analytics systems, and enterprise applications. I specialize in designing and developing scalable, production-ready software that combines Generative AI, intelligent automation, cloud infrastructure, and modern full-stack technologies to solve complex business challenges. My expertise includes AI Agents, Agentic AI Workflows, OpenAI GPT-4o, ChatGPT API, Anthropic Claude, Google Gemini, RAG (Retrieval-Augmented Generation), Semantic Search, Vector Databases, LangChain, LangGraph, MCP (Model Context Protocol), AI Workflow Automation, Conversational AI, Intelligent Document Processing, and Enterprise AI Solutions. On the full-stack side, I work extensively with Next.js, React.js, TypeScript, FastAPI, Python, Node.js, PostgreSQL, Supabase, Redis, AWS, Azure, Docker, Kubernetes, and modern cloud-native architectures. I have successfully delivered AI-powered SaaS products, healthcare applications, analytics platforms, CRM systems, marketplace solutions, workflow automation platforms, and enterprise web applications. My experience also includes HIPAA-aware architectures, PHI data handling practices, patient/provider portals, secure authentication systems, RBAC, multi-tenant applications, and compliance-focused software development. Whether you need an AI-powered SaaS platform, AI chatbot, AI agent, intelligent automation system, analytics dashboard, cloud-native application, or a complete end-to-end software solution, I can contribute across product architecture, AI integration, backend development, frontend development, cloud infrastructure, security, deployment, and long-term scalability. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 AI Developer | AI Engineer | Generative AI Developer | AI SaaS Developer | AI Product Engineer | OpenAI Developer | ChatGPT API | GPT-4o | Claude API | Anthropic Claude | Gemini API | AI Agent Developer | Agentic AI | Multi-Agent Systems | AI Automation | Workflow Automation | AI Copilot Development | Conversational AI | AI Chatbot Developer | Prompt Engineering | RAG Developer | Retrieval-Augmented Generation | Semantic Search | Vector Database | Pinecone | FAISS | LangChain | LangGraph | MCP Developer | Model Context Protocol | Document Intelligence | OCR Processing | Enterprise AI Solutions | Healthcare AI | HIPAA-Aware Applications | PHI Data Security | Next.js Developer | React.js Developer | FastAPI Developer | Python Developer | Node.js Developer | NestJS Developer | TypeScript Developer | PostgreSQL | Supabase | Redis | AWS | Azure | Docker | Kubernetes | SaaS Development | Full Stack Developer | Cloud Engineer

I'm an AI Developer and Full-stack developer who builds automation that runs your ops like a digital employee, not a fragile trigger chain. As an AI Developer, I design each AI Agent to think, decide, and self-correct using Claude as the reasoning engine. Systems that reason, not just react. A real AI Developer ships logic, not glue, and as a Full-stack developer I build the product end to end. Agentic AI is what turns that logic into a system. Most businesses have a system design problem, not an automation one. Workflows break on n8n make and Zapier because no one engineered the logic underneath. I fix that with Agentic AI on Claude that holds up in production using n8n make infrastructure. Top 1% Upwork · 100% Job Success · 5.0 Rating · $100K+ Earned · 686+ Hours · 34+ Projects WHAT I BUILD: As an AI Developer, I give each tool one job: n8n make for orchestration and data transformation, Zapier for integrations, and Claude as the reasoning engine. I architect n8n make workflows to qualify leads, sync HubSpot/Salesforce/Airtable, and run support triage with AI Agents. I ship full AI SaaS on Claude, and as a Full-stack developer own frontend, backend, and database. n8n make orchestrates and transforms together amplifying Claude's reasoning. This Agentic AI difference separates systems from scripts. RECENT RESULTS: SaaS sales engine: AI Agent on Claude with n8n make cut lead response 4 hours to 4 minutes, $9K/month saved. Built as Agentic AI on Claude with n8n make backbone. Agency pipeline: one agent across 12 accounts using n8n make saved 120 hours/month, 65% faster. Support triage: AI Agent resolves 60% Tier 1 tickets, 80% faster, with n8n make routing and escalations. TECH STACK: Automation: n8n make · Zapier AI & Agents: Claude (Anthropic) · LangChain · RAG · Agentic AI Backend: Node.js · Python · PostgreSQL Frontend: React · Next.js Integrations: HubSpot · Salesforce · Airtable · Shopify · WooCommerce HOW I WORK: As an AI Developer, I audit first, then architect n8n make pipelines for orchestration and transformation. I design each AI Agent for hard cases, failure edges, rate limits, malformed inputs with self-correction built in. Agentic AI earns trust by surviving edge cases. As a Full-stack developer, I ensure the AI SaaS around it holds up whether powered by n8n make. Everything I deliver is stable, documented, and built to scale. As an AI Developer, I build each AI Agent right on Claude. As a Full-stack developer, I stand behind the whole system. An AI Developer who builds like a Full-stack developer covers engineering and accountability. WHY AN AI DEVELOPER, NOT AN INTEGRATOR: An integrator connects apps; an AI Developer engineers decisions. I plan for API failures and malformed inputs the AI Agent recovers on its own. Whether leveraging n8n make orchestration power, I architect systems that survive edge cases. That reliability is why I earn repeat work after the first AI SaaS ships using n8n make infrastructure. Send your use case. I'll reply with a personalised Loom showing the AI Agent in action, plus a free audit from your AI Developer specialist on Claude. Bring the problem; your AI Developer brings the system.

With 15+ years of engineering experience, 28,000+ work hours deliverd on upwork, $2M+ earned as Ageny on Upwork, I help startups and enterprises build scalable, intelligent and high-performance products. We specialize in a blend of AI/ML, DevOps, GoLang, and end-to-end Web & Mobile development, enabling clients to move from idea → architecture → development → deployment → growth. Our Biggest Strength are in: AI / Machine Learning LLM integration, fine-tuning & prompt engineering AI automation, workflows & copilots Predictive analytics, NLP, recommendation systems Vision models & model optimization for production DevOps & Cloud Engineering CI/CD setup (GitHub, GitLab, Jenkins) Kubernetes, Docker & containerized architectures AWS / GCP / Azure cloud infrastructure High-availability, monitoring & cost optimization GoLang Development Scalable microservices High-performance APIs Distributed systems Event-driven architectures Full-Stack Web Development React, Node.js, Angular, Laravel, PHP, Python REST/GraphQL APIs SaaS platforms, dashboards & enterprise solutions Mobile App Development Native iOS/Android Flutter & React Native Payment, subscription, social, GPS, chat & AI-powered features Why Clients Hire Me: ✔ 28,000+ Upwork hours delivered successfully as Inheritx Solutions. ✔ $2M+ earned with long-term client relationships ✔ Top Rated performance with proven delivery track record ✔ Clear communication, structured execution and scalable architecture ✔ Backed by a strong technical team at Inheritx Solutions (when required) We bring not just development — but architecture, strategy, optimization, and long-term technical scalability to every project. If you need an engineer who can: Build an AI-driven product Set up DevOps pipelines or cloud infrastructure Develop a GoLang-based microservices platform Create a robust web or mobile application Or take your MVP to a production-grade system …I’d be happy to help. Hire me if you want experience, clarity, and engineering that simply works — every single time.

I'm an AI engineer who designs and ships production AI agents, voice agents, and chatbots that hold up under real users and real traffic. Not glued-together templates, but systems built in code, tested, and engineered to scale. I'm Abdul Rehman, a full-stack software engineer with 5+ years building AI and automation systems in Python, TypeScript, and the modern LLM stack. What I Build Custom AI agents with real orchestration (LangGraph and the OpenAI / Claude agent SDKs), tool use, memory, and MCP integrations that connect agents to Slack, Google Drive, CRMs, and internal databases. Voice agents built on LiveKit, Vapi, or Retell, with Deepgram speech-to-text, ElevenLabs or Cartesia voices, and telephony (SIP / Twilio), tuned for sub-second latency and natural turn-taking so callers don't feel like they're fighting a robot. Chatbots and RAG systems done properly: chunking, embeddings, vector databases (Pinecone, pgvector), and reranking, so answers stay grounded in your data instead of hallucinated. LLM integration and fine-tuning across Claude, OpenAI, and open models (HuggingFace), including fine-tuning on your own data when an off-the-shelf model isn't enough. Backends and full-stack work in Python (FastAPI) and React / Next.js, with the databases, APIs, auth, and deployment to back them. And workflow automation with n8n, Make .com, and Zapier when a managed workflow is the right call, and custom code when it isn't. What Separates This From a Quick Prototype I build evals so you can measure accuracy, guardrails so the AI behaves safely, observability so you can see what it's doing in production, and latency and cost optimization so it stays fast and affordable as you scale. Recently Shipped A support chatbot that now resolves around 90% of customer questions on its own, freeing the owner from working weekends. An automated CRM that nurtures leads on autopilot so the sales team closes instead of doing data entry. OCR pipelines for EA Sports using AI vision models. How I Work I don't hand off a black box and disappear. I explain the architecture in plain language, document what I build, and stick around after launch to make sure it keeps performing. 5+ years experience | Full-stack AI engineer who builds systems that hold up in production If you're building an AI agent, a voice assistant, or an LLM-powered product, send me a short note on what you're trying to solve and I'll tell you honestly how I'd approach it.

I am Naresh, co-founder of Amenity Technologies, a company that specializes in assisting companies with AI/ML and Data Science & Analytics. I provide end-to-end AI consultancy. I'm a senior computer vision and machine learning engineer with vast experience in full-stack development, AR/VR, and robotics. with more than 8.5+ years of expertise working with businesses to produce creative initiatives that will bring value to their projects based on innovation. The following is a list of the technologies I employ daily when I code: ✅ N8N automation for restaurants calling bot, voice calling bot for Real Estate clients, sales team training voice bot. ✅ AI Agents: Implemented Agentic workflow with LLMs, SLMs, RAGs, Agentic RAG, LangFuse. ✅ LLMs: AI based Marketing Journey Crerator, Document Parsing, FAQ bot, RAG systems with Open AI and without Open AI also on our own could. Have used LLMs like DeepSeek, LAMA, Minstrel, Hugging Face etc. ✅ Fullstack: Python, C++, Django, Flask, JS, React, NodeJS, Typescript, Docker, Kubernetes ✅ ML/DL: Mediapipe, Pytorch/Keras, Transformers, RasaNLP, SparkML, SparkNLP, LGBM, and many others ✅ Computer Vision: OpenCV, Open3D, PCL, VisualSLAM, OpenMVG, FFMPEG, and more ✅ Cloud solutions: Cloud Compute, Vertex AI, Cloud SQL, Cloud Functions, AWS ✅ We have created Algo trading bot for Indian stock market. The cases I work with: ✅ Machine Learning & AI: - Algorithms like KNN, K-MEAN, DBSCAN, MEAN SHIFT - Data cleaning, filling in missing values & selecting the best features - Prediction models which use logistic & linear regression, Decision Tree, Random Forest, Naive Bayes, SVM - Graphical analysis via matplotlib ✅ Deep Learning & AI: - Image Classification via CNN, GoogLeNet, VGGNet, ResNet - Object Detection via F-RCNN, YOLO, SSD, R-FCN - Object tracking via SAE and CNN, FCNT, MDNET - Semantic Segmentation via DeepLab, RefineNet - Instance Segmentation via Mask RCNN - 3D Object Segmentation and Detection - 3D Reconstruction ✅ Data Science & Analytics: -Data wrangling -Data Wrangling via Pandas, NumPy, Scikit-learn -Data Visualization via Matplotlib, Seaborn, Plotly -Statistical Analysis via SciPy, Statsmodels, PyMC3 -Machine learning -Machine Learning via Scikit-learn, TensorFlow, PyTorch -Natural language processing -Natural Language Processing via NLTK, SpaCy, Gensim -Recommender system -Recommender Systems via Surprise, LightFM, Implicit -Big data -Big Data via Spark, Hadoop, Dask ✅ NLP & AI: - Sentiment Analysis - Sentence segmentation - Named Entity Recognition - Auto punctuation - Converting unstructured data into structured data - POS tagging ✅ IoT & Cloud: - Lambda in AWS, Alexa Skill Development - Raspberry Pi, Nvidia Jetson Nano, Arduino, Banana Pi, Intel Movidius - Android app for IoT and cloud - Custom Google Assistant and Alexa - Smart Home Shoot me a message if you got an idea, I am here to bring it to life!

Expert-Vetted and Top Rated Plus (Top 1% )🏆🏆🏆 I am a Machine Learning Engineer/Data Scientist with 5 years of experience. I am a business-minded data scientist with an entrepreneurial spirit. My experience is in hands-on product development and implementation of data-driven products in the Computer Vision and Natural Language Processing domain, using state of the art deep learning algorithms. I propose modern and dynamic solutions to my clients for their business goals, and guide them throughout the journey to minimize the cost and maximize the output. I have experience working in an international environment and leading cross-cultural teams, and the ability to communicate fluently and clearly with team members, customers, and stakeholders. I have worked on the development of multiple AI/ML systems, serving millions of users at scale. Two of the Products that I am a part of, have raised seed funding totaling $1 Million. I have also been specializing in general machine learning, including academic and industrial research collaboration. Over the past 5 years, I have worked as an AI consultant and advised multiple projects in Computer Vision from bachelors to post graduate, in an industrial capacity. I have around 10 research publications in International conferences and Journals. Artificial Intelligence skills: ⠀✓ Supervised/Unsupervised/Semi-Supervised Learning Implementations ⠀✓ Classical Computer Vision Algorithm ⠀✓ Natural Language Processing/Natural Language Understanding ⠀✓ Edge-AI: Edge-Device Optimization, Jetson Nano, Jetson Xavier, Arduino, Raspberry Pi, Neural Compute Stick. ⠀✓ Image Processing and Deep Learning ⠀✓ Fast Neural Networks ⠀✓ Artificial Neural Networks (including DNN, CNN, FCNN, RNN, LSTM, GAN, VAE, etc.) ⠀✓ ML/DL tools: Scikit-Learn, PyTorch, Tensorflow, OpenCV, SciPy, NumPy, OpenVino ⠀✓ Data Manipulation/Visualization Tools: NumPy, Pandas, Matplotlib, Seaborn, NetworkX Whether it is working on a big and exciting project, or tutoring students on their final-year projects, I believe communication, trust and respect always come first. My strong points are Creativity, Punctuality, Responsiveness and Accountability. So, get in touch with me if you have an exciting idea you want to discuss the feasibility of, or just want some guidance or consultation on your next endeavor, I'm just a text away.

Hi, I am a full stack Artificial Intelligence (AI) engineer with 6+ years of experience of developing AI solutions for clients worldwide across various industry and research domains since pre LLM era(like startups and Fortune 50 companies ..). My expertise spans the development of robust cloud native end to end machine learning AI/ML solutions, including AI Agents and Automations, AI Chatbots, Conversational AI Agents and AI-driven Content Generation,NLP, Timseries forecasting/analysis, XAI . Availability: Open to full-time & long-term projects Expertise: ✅ AI Agents ✅Timeseries prediction, predictive modeling ✅ AI Chatbots ✅ AI Search ✅ AI Generated Content (Video/Image/ Audio) ✅ AI SaaS ✅Generative AI Modelling(GenAI, prompt engineered LLM RAG apps, AI agents, chatbots), ✅Natural Language Processing (NLP), ✅Speech Processing (ASR, TTS, STT) ✅Computer Vision, ✅OCR, ✅Classification, ✅Regression and XAI more..... Client testimonials: ⭐ "100000% recommended." ⭐ "Good freelancer that has serious background of ML and NLP. Recommended" ⭐ "Pooja is perfect! She communicates very well, responds to my questions in a timely manner, submit results within the deadline, and most importantly, she knows her ways on NLP. She's nice and kind and very easy to work with. You will not regret hiring her." ⭐"Working with Pooja was great! We hired her to test a data science tool that we're building and not only did she test the tool according to the instructions that we provided, but she also thought of other scenarios to test the tool in. I'd love to work with her again. 📚Proficient in a multitude of Python libraries such as Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, Keras, SpaCy, NLTK, Gensim, OpenAI(models like GPT( ChatGPT), DALL-E, Whisper), Hugging Face, Langchain, LLMs(GPT3.5/4, Claude, Perplexity, LLaMa, and more...) I possess a comprehensive skill set tailored to tackle complex AI challenges like prompt engineering, fine tuning, model quantization/distillation/pruning. Can deploy to cloud of your choice, AWS, GCP, Azure, Hetzner, Runpod to production /test I am experienced with customizing ML/DL models to obtain higher accuracy compared to existing models. "I've tuned several models and optimized their accuracy from 75% to about 98%." My project repertoire includes a wide array of AI Machine Learning and Deep Learning endeavors like AI agents workflows, AI RAG apps, predictive modelling end to end workflow and more... Some of the production AI systems I’ve delivered that drove real business impact: ✅ Saved $500K+ in potential expenses for a client by designing and deploying a custom AI solution tailored to their operations. ✅ Unblocked a Fortune 50 team stuck for 6+ months on a HIPAA-compliant AI project for their legacy system, delivering multiple solutions that prevented millions in potential losses. ✅ Developed Explainable AI (XAI) models, helping stakeholders gain actionable insights and build trust in AI decisions. ✅ Delivered RAG-based AI systems and AI Agents, including multi-agent orchestration capable of interactive, autonomous workflows. ✅Developed and productionized full stack AI systems with XAI for an EU Commission Consortium project. ✅ Developed HIPAA and GDPR compliant AI systems Why me? ✅ I strive to deliver top-tier AI solutions to ensure 100% client satisfaction. ✅ As an quick learner and proactive problem solver with an engineering background, I continually seek to expand my knowledge horizons and innovate in the dynamic field of AI and help my clients with the same. ✅ I believe in trustful collaboration and prompt delivery for my clients I am committed to solving your problem by providing an effective solution. I strongly value work ethics, dependability, honesty, and loyalty. My focus is always on delivering desirable results. I am flexible in my approach, and I quickly learn new skills necessary to complete the project successfully. Tools skilled in: - OpenAI GPT 3,3.5, 4, 4o, o1, OpenAI Realtime API, Claude and more... - HuggingFcae Transformers - Langchain - Mlflow - DialogFlow - Rasa - ManyChat - Prompt Engineering - Retrieval-Augmented Generation (RAG) - Langchain, Langsmith, Langgraph # CrewAI # Speech Recognition (ASR) # Natural Language Understanding (NLU) # Text-to-Speech (TTS) # Voicebot Development # AI Model Fine-Tuning # Multimodal AI # AI Workflow Automation # Microsoft semantic Kernel # AutoGPT # Smolagents # Pinecone # Milvus # Qdrant # Chroma # Weaviate #Chatbots #GPT4 #Anthropic #Claude #LLMs #Rasa #ManyChat # LangChain #OpenAI # RAG #VoiceBots #GenerativeAI #Vapi #Prompt Engineering #Flowise #Langsmith #CrewAI #PineCone # Deepseek #ElevenLabs #Sora #Veo #Kling #Higgsfield #Gemini #nano banana #Grok #Docker #CI/CD #Nodejs #Nestjs #fastapi #django #Quarkus #backend #Websockets #Rest API #AWS #GCP