AI Engineer specializing in Generative AI, Large Language Models (LLMs), multi-agent systems, machine learning, and computer vision. I help companies design and build 𝗟𝗟𝗠 applications, 𝗥𝗔𝗚 knowledge systems, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 workflows, and production-grade 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 systems using Python and modern AI frameworks. With 24+ years of experience in 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 and deep-tech software engineering, I focus on building AI systems that are 𝘀𝗲𝗰𝘂𝗿𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, and 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆. I currently lead AI engineering department at Apriorit, a software R&D company with 400+ engineers, where we develop advanced AI systems for Cybersecurity, Healthcare, and FinTech. What I Build 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Predictive analytics and ML pipelines ↳ Fraud detection and anomaly detection ↳ Recommendation systems ↳ Data processing and feature engineering pipelines 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 / 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (RAG) knowledge systems ↳ 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 and enterprise AI 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 ↳ 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 for complex workflows ↳ 𝗟𝗟𝗠 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 and evaluation ↳ Private / 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲 𝗟𝗟𝗠 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 for sensitive environments 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 ↳ OCR and document understanding ↳ Object detection and tracking ↳ Image classification and segmentation ↳ Medical imaging and industrial automation 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Privacy-preserving AI architectures ↳ Adversarial ML defense ↳ AI-driven cybersecurity analysis 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 ↳ Generative AI / LLM • OpenAI, GPT-4, Llama 3, Mistral • LangChain, LlamaIndex • Hugging Face Transformers ↳ Machine Learning • Python, PyTorch, TensorFlow • Scikit-learn, Pandas ↳ Vector Search & RAG • Pinecone, Milvus, FAISS • Embeddings and semantic search ↳ Infrastructure • Docker, Kubernetes • AWS, GCP, Azure ↳ Computer Vision • OpenCV • YOLO • Vision Transformers 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗔𝗜 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 Secure RAG system enabling employees to search and interact with thousands of internal documents without data leakage. • 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 Real-time machine learning platform detecting fraudulent transactions across high-volume payment streams. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 3D medical image processing system supporting diagnostic analysis with ~95% accuracy. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 AI agents coordinating information retrieval, analysis, and automated task execution within enterprise systems. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 • Security-first architecture (GDPR / HIPAA-ready) • Enterprise-grade engineering experience • Deep expertise in AI infrastructure, optimization, and system performance I focus on building AI systems that are reliable, scalable, and ready for real-world use. 𝘐𝘯𝘷𝘪𝘵𝘦 𝘮𝘦 𝘵𝘰 𝘺𝘰𝘶𝘳 𝘫𝘰𝘣 𝘧𝘰𝘳 𝘢 𝘱𝘳𝘦𝘭𝘪𝘮𝘪𝘯𝘢𝘳𝘺 𝘤𝘰𝘯𝘴𝘶𝘭𝘵𝘢𝘵𝘪𝘰𝘯 𝘵𝘰 𝘥𝘪𝘴𝘤𝘶𝘴𝘴 𝘺𝘰𝘶𝘳 𝘳𝘰𝘢𝘥𝘮𝘢𝘱 𝘢𝘯𝘥 𝘧𝘦𝘢𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘺.

🌐🚀 MVP / SAAS Specialist Expertise in | AI Developer | RAG | LLM | AI Integration | Python | OpenAI API Integration | Artificial intelligence | Machine Learning | Langchain | Django React JavaScript | FastAPI | AI agent | AI App Development | AI bot | AI chatbot | AI Agent | Restful API | PostgresSQL | Botpress | PostHog | MCP Server | Multi-Agents/Multiple Agents | Voice AI 🔑 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲 𝐜𝐮𝐬𝐭𝐨𝐦 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, AI-Powered MVP, AI Healthcare Tools, AI Writing Tool, GPT Clone, Full Stack Application, Multi-Tenant 𝐚𝐧𝐝 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐨𝐥𝐯𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬, 𝐜𝐫𝐞𝐚𝐭𝐞 𝐧𝐞𝐰 𝐯𝐚𝐥𝐮𝐞, 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐮𝐬𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬. 🎁 A 100% refund, if I'm unable to meet our agreed commitments. No questions asked! 𝐊𝐞𝐲 𝐅𝐚𝐜𝐭𝐬: 🧑‍💻 8+ years of experience as a Full Stack Developer and Artificial Intelligence Specialist 🚀 50+ market-winning projects launched ⌛ Around 600 hours on Upwork 🎯 Top-Rated on Upwork 🌉𝐈'𝐯𝐞 𝐬𝐨𝐥𝐯𝐞𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐟𝐨𝐫 𝐭𝐨𝐩 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐚𝐧𝐝 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐚𝐫𝐨𝐮𝐧𝐝 𝐭𝐡𝐞 𝐠𝐥𝐨𝐛𝐞 ☑️ Under Armour ☑️ Snowflake ☑️ Estateza ☑️ SearchLook ☑️ Sparrowcharts 💡 𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐭𝐚𝐛𝐥𝐞? ☑️ Full Stack Development for robust and scalable web applications, including both front-end and back-end technologies ☑️ Custom Web and Application Development utilizing frameworks like Python, React, Django, React.js / Angular / Next.js / Nest / Nust / Golang and Node.js ☑️ Expertise in LLMs and ChatGPT integration to enhance application functionalities ☑️ Proficiency in RESTful APIs, GraphQL, and database management ☑️ Experience with cloud services like AWS, Azure, and Google Cloud for deployment and scaling ☑️ Strong problem-solving skills and ability to optimize user experiences and application performance 🌟𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐬𝐚𝐲 𝐚𝐛𝐨𝐮𝐭 𝐦𝐞: 🌟 Ali Hamza is in the top tier of software developers and data engineers. He is far more than an implementer; he is a strong architect. During this project set, Usama worked on data from major US corporations 🌟 One of the best developers I have ever worked with. He is always on time and does exactly what he says he will do. I could not recommend him enough. 🎯 𝐈 𝐩𝐨𝐬𝐬𝐞𝐬 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐝𝐨𝐦𝐚𝐢𝐧𝐬 ☑️ Full Stack Development: ☑️ Backend: ☑️ Python ☑️ Django ☑️ Flask ☑️ NodeJs, Express.js ☑️ Rest API, SOAP ☑️ Websocket ☑️ Third party integration ☑️ Frontend: ☑️ Html5, Css3, Bootstrap ☑️ Javascript ☑️ ReactJs, Angular ☑️ VueJs ☑️ NextJs, NuxtJs ☑️ Ajax, JSON, XML, XHTML, SVG, Canvas ☑️ API integration, OpenAI API ☑️ DevOps: ☑️ CI/CD Pipelines ☑️ IaC ☑️ Docker ☑️ Kubernetes / Terraform ☑️ Elasticsearch ☑️ Cloud Computing (Azure, AWS, Google Cloud) ☑️ Version Control (Git, GitHub) ☑️ Containerization + Orchestration (Docker, Kubernetes) ☑️ Spring Boot / Java, Microservices Architecture ☑️ Real-time / Streaming / Event-driven architectures ☑️ Session Recordings / Session Replays ☑️ GraphQL / gRPC ☑️ Kafka / Redpanda (real-time streaming) ☑️ Generative Artificial Intelligence (GenAI) ☑️ Large Language Models (LLMs) ☑️ Natural Language Processing (NLP) ☑️ ChatBots and Virtual Assistants ☑️ Text to Image Modelling ☑️ Vector Databases ☑️ Retrieval-Augmented Generation (RAG) ☑️ ChatGPT ☑️ OpenAI ☑️ AI/ML (Artificial Intelligence + Machine Learning) ☑️ Multimodal AI / NLP ☑️ Agentic AI / Autonomous Agents ☑️ “Vibe Coding” / AI-first / prompt-driven dev workflows ☑️ Explainable AI / Ethical, Sustainable AI ☑️ Edge AI / On-device / Federated Learning ☑️ Web Scraping ☑️ Data Extraction ☑️ Data Scraping ☑️ Scrapy ☑️ Selenium ☑️ Beautiful Soup ☑️ Requests ☑️ Deployment and scheduling the scraping scripts on server ☑️ PostHog / Mixpanel / Amplitude / Segment (Twilio Segment) ☑️ OpenTelemetry (Datadog / Grafana / Sentry ☑️ LaunchDarkly / GrowthBook / VWO / Optimizely / Klaviyo ☑️ Airbyte / Fivetran / DBT ☑️ Auth0 / Clerk / SuperTokens / Google Auth ☑️ Stripe / Paddle ☑️ Plaid AI + Analytics Integrations ☑️ LangSmith / LangFuse – Observability and evaluation layer for LLM apps. ☑️ Weaviate / Pinecone / Qdrant – Vector DBs for AI features with analytics hooks. ☑️ Whylabs / Arize AI – ML observability & monitoring (similar to PostHog but for models). I am a Fullstack AI Developer - Python Django, React, Flask, API Integration I can help you to build: ⚡ Fast MVP Development (AI-Powered) ✅ ⚡ AI Powered SAAS Applications ✅ ⚡ AI Agent RAG Systems | AI Chatbots ✅ ⚡ Open AI API Integrations / LLM ✅ ⚡ Full stack Development (AI/ML, Django, React) ✅ ⚡ AI Workflows Automation ⚡ Voice AI tools Thank you for visiting my profile. Looking forward to working with you! I will 💲REFUND 💲, if your expectation wont meet. For reference, you can see my work and testimonials below. Lets Chat!

🚀 Looking for a Senior AI & Full Stack Engineer who can turn your ideas into production-ready software that delivers real business value? I help startups, SaaS companies, and enterprises build AI-powered products, intelligent automation, and scalable web applications that improve efficiency, enhance user experiences, and accelerate growth. As a Top Rated Plus Senior AI & Full Stack Engineer with a 100% Job Success Score and 10+ years of experience, I specialize in Generative AI, LLMs, Python, React, Cloud, and DevOps. From product architecture and development to deployment and scaling, I build secure, maintainable solutions that are designed for long-term success. 🎯 What I Bring to Your Project I combine AI expertise with full stack engineering, allowing me to take ownership of your entire product instead of just one part of the stack. Whether you need a custom AI application, SaaS platform, enterprise system, or cloud-native solution, I'll help you build it from concept to production. 🤖 AI & Generative AI ✔ Build intelligent AI chatbots ✔ Develop conversational AI assistants ✔ Create autonomous AI agents ✔ Design enterprise RAG systems ✔ Build semantic search solutions ✔ Fine-tune custom AI models ✔ Engineer prompt optimization ✔ Integrate OpenAI & Claude ✔ Deploy Gemini & Llama models ✔ Automate business workflows Technologies: OpenAI, GPT-4, GPT-5, Claude, Gemini, Llama, Hugging Face, Cohere, LangChain, LangGraph, LlamaIndex. 💻 Full Stack Development ✔ Build scalable SaaS platforms ✔ Develop Python applications ✔ Create Django solutions ✔ Engineer FastAPI backends ✔ Build secure REST APIs ✔ Design GraphQL services ✔ Develop React applications ✔ Build Next.js platforms ✔ Create responsive dashboards ✔ Integrate third-party APIs Technologies: Python, Django, FastAPI, Flask, React, Next.js, JavaScript, TypeScript, PostgreSQL, MySQL, MongoDB, Redis, Supabase. ☁️ Cloud, DevOps & MLOps ✔ Deploy cloud-native applications ✔ Build AWS infrastructure ✔ Implement Azure solutions ✔ Deploy Google Cloud services ✔ Containerize production workloads ✔ Manage Kubernetes clusters ✔ Automate CI/CD pipelines ✔ Implement Infrastructure as Code ✔ Scale AI applications ✔ Monitor production systems Technologies: AWS, Azure, Google Cloud, AWS Bedrock, Azure OpenAI, Vertex AI, Docker, Kubernetes, Terraform, Ansible, GitHub Actions, Jenkins. 📈 Solutions I Build ✔ AI-powered SaaS platforms ✔ Enterprise web applications ✔ AI customer support systems ✔ Document intelligence platforms ✔ AI sales assistants ✔ Workflow automation tools ✔ Enterprise knowledge bases ✔ CRM & ERP applications ✔ Marketplace platforms ✔ Analytics dashboards 💼 Why Clients Hire Me ⭐ Top Rated Plus Freelancer ⭐ 100% Job Success Score ⭐ 10+ Years of Experience ⭐ End-to-End Product Ownership ⭐ Clean & Scalable Architecture ⭐ AI + Full Stack Expertise ⭐ Reliable Communication ⭐ Long-Term Technical Partner Whether you need an AI Engineer, Generative AI Engineer, LLM Engineer, Python Developer, Full Stack Developer, FastAPI Expert, Django Developer, React Developer, or a technical partner who can own your product from idea to deployment, I'm ready to help. 🚀 Let's Build Something Great If you're looking for an experienced engineer who combines AI innovation with full stack expertise to build scalable, production-ready software, let's connect. Click "Invite to Job" or send me a message with your project goals, timeline, and technical requirements, and let's discuss how we can build a solution that creates real business value. 𝙋𝙮𝙩𝙝𝙤𝙣 | 𝘿𝙟𝙖𝙣𝙜𝙤 | 𝘼𝙄 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 | 𝙈𝙇 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 | 𝙁𝙪𝙡𝙡𝙨𝙩𝙖𝙘𝙠 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙚𝙧 | 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 | 𝙇𝙖𝙧𝙜𝙚 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙈𝙤𝙙𝙚𝙡𝙨 (𝙇𝙇𝙈𝙨) | 𝙍𝘼𝙂 | 𝙇𝙖𝙣𝙜𝘾𝙝𝙖𝙞𝙣 | 𝘼𝙄 𝘼𝙜𝙚𝙣𝙩𝙨 | 𝙊𝙥𝙚𝙣𝘼𝙄 | 𝙁𝙖𝙨𝙩𝘼𝙋𝙄 | 𝙍𝙚𝙖𝙘𝙩 | 𝘼𝙒𝙎 | 𝘿𝙤𝙘𝙠𝙚𝙧 | 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 | 𝙈𝙇𝙊𝙥𝙨 | 𝙎𝙖𝙖𝙎 𝘼𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 | 𝙍𝙀𝙎𝙏 𝘼𝙋𝙄𝙨 | 𝙑𝙚𝙘𝙩𝙤𝙧 𝘿𝙖𝙩𝙖𝙗𝙖𝙨𝙚𝙨

I build production data infrastructure for small to medium-sized businesses — cloud warehouses, dbt modeling, reliable ingestion pipelines, and reporting systems they can actually run their business on. I've worked with performance marketing agencies, DTC e-commerce brands, Shopify agencies, real estate lead-gen companies, SaaS startups, B2B service businesses, media and creator-led agencies, professional services firms, and subscription-based businesses — supporting 7-figure ad budgets, multi-channel attribution setups, financial and operational reporting, and environments where executives make real revenue decisions on the numbers. Accuracy isn't optional in any of those contexts, and that's the bar I build to. Most of the teams I work with come to me after struggling with conflicting KPIs across platforms, fragile "Frankenstein" automations, manual reporting bottlenecks, and dashboards they can't fully trust. What they leave with is a clean, scalable data foundation built for long-term growth — not just another dashboard. Beyond technical depth, I'm a clear communicator with both engineers and non-technical founders. I'll explain why your numbers don't reconcile across platforms in language your CEO understands — and I'll fix it. Services I Offer: → Data Warehouse Architecture: Designing and building production data warehouses on BigQuery, Snowflake, or Postgres — schema modeling, dbt projects, and the foundations that make every dashboard downstream trustworthy. → ETL & Data Pipelines: Replacing fragile Supermetrics/Zapier sprawl with reliable, auto-refreshing ingestion via Airbyte, Fivetran, or custom Python pipelines. Marketing, CRM, revenue, and ops data — unified in one place. → Analytics & Reporting Systems: Building multi-page Looker Studio, Power BI, or Metabase dashboards that read from a modeled warehouse, not raw API pulls — fast, accurate, and reconciled across every report. → AI Systems & LLM Integration: Building production-grade AI systems on top of your data — lead scoring and qualification engines, automated classification and enrichment, AI agents that read from your warehouse and act on it, and Claude/OpenAI-powered workflows that write results back to your CRM, Slack, or reporting layer. → Business Automation & Workflow Engineering: n8n and Make automations that handle data syncing, lead routing, enrichment, internal notifications, and operational workflows — reliably, with monitoring and alerting built in from day one. My core stack and expertise: → Programming Languages: Python (Pandas, Polars, PySpark), SQL, Bash → Data Modeling & Transformation: dbt, SQL, Python — clean staging → intermediate → mart architecture with tests and documentation → Cloud & Warehousing: BigQuery, Snowflake, PostgreSQL, DuckDB, S3 + Delta Lake → Data Ingestion / ETL: Airbyte, Fivetran, Meltano, custom Python connectors → Orchestration: Airflow, Dagster, Mage, Cloud Functions, GitHub Actions → Analytics & Tracking: GA4, Mixpanel, event-based analytics, server-side tracking → Visualization & BI: Looker Studio, Power BI, Metabase, Superset, Tableau → Automation & AI: Make, n8n, Claude API, OpenAI API, LLM-powered workflows → DevOps: GitHub Actions, Docker, Terraform, CI/CD pipelines

🚀 Top Rated Plus AI Engineer | $80K+ Earned on Upwork | 100% Production-Focused AI Solutions I help startups, SaaS companies, healthcare organizations, and enterprises build production-ready AI applications using Generative AI, AI Agents, LLMs, RAG, Computer Vision, and intelligent automation. With proven experience delivering AI solutions on Upwork, I develop scalable systems that automate workflows, improve business decisions, reduce manual effort, and transform complex data into intelligent applications. What I Can Build ✅ AI Agents & Agentic AI Workflows • AI Agents using LangChain, LangGraph, CrewAI, AutoGen, MCP • Multi-Agent Systems • AI Assistants & AI Copilots • Workflow Automation • Task Planning & Tool Calling ✅ Generative AI & LLM Development • OpenAI GPT-4o / GPT-5 APIs • Claude AI • Gemini AI • Llama Models • Prompt Engineering • Function Calling • Structured Output Generation • Fine-tuning Support ✅ RAG (Retrieval-Augmented Generation) • Enterprise RAG Applications • Knowledge Base Chatbots • PDF Chatbots • Document Q&A Systems • Semantic Search • Embeddings • Vector Search • LangChain • LlamaIndex • Pinecone • Weaviate • FAISS • Qdrant • ChromaDB • pgvector ✅ Computer Vision & Image AI • YOLO • OpenCV • Object Detection • Object Tracking • Image Processing • OCR • Document AI • Image Classification • Video Analytics • Visual Inspection • Pose Estimation • Defect Detection • Industrial Automation • Image Annotation • AI-powered Surveillance ✅ Medical AI & Healthcare AI • Medical Imaging • Clinical Decision Support • Healthcare Automation • Genomics • Bioinformatics • Protein Modeling • Drug Discovery AI • Predictive Analytics • Clinical Data Processing • Medical Document Intelligence ✅ Data Intelligence & Automation • OCR • PDF Processing • Data Extraction • ETL Pipelines • AI Workflow Automation • Intelligent Document Processing • Data Analytics • Geospatial AI • GIS Analytics Technologies Python FastAPI OpenAI API Claude API Gemini API LangChain LangGraph LlamaIndex CrewAI AutoGen OpenCV YOLO TensorFlow PyTorch Docker AWS Azure AI REST APIs Node.js PostgreSQL Redis Pinecone Weaviate Qdrant FAISS ChromaDB Git Linux Why Clients Work With Me ✔ Production-ready AI systems ✔ Clean and scalable architecture ✔ Fast communication ✔ Business-focused AI solutions ✔ Cost-optimized LLM implementations ✔ Long-term support ✔ Reliable delivery If you're looking for an experienced AI Engineer to build AI Agents, Generative AI applications, RAG systems, Computer Vision solutions, Medical AI platforms, or enterprise AI automation, I'd be happy to discuss your project and recommend the best approach.

I help healthcare organizations turn medical records, clinical notes, and research papers into useful AI tools. This includes RAG systems that let teams search documents in plain language, prediction models, and analytics dashboards. I handle the full project myself, from the data work through deployment, including the web application and payment setup when needed. Recent work: HealthDataVitals: a live platform I built and launched that tracks healthcare cost, quality, and performance data. I managed the dashboard, the data pipeline, and payment integration from start to finish. An agentic RAG system that lets teams upload medical documents and ask questions about them in plain language. It automatically detects and removes protected health information from medical files before storing them, so documents stay searchable without exposing patient data. A diabetes prediction system built with ensemble models (Random Forest, XGBoost, and LightGBM) and SHAP explainability, so users can see which factors drove each prediction. I built multiple ways to access it, including a web app, a REST API, and a Discord bot. A voice-controlled AI assistant that takes spoken questions, analyzes uploaded images, and replies out loud, useful for hands-free situations like a clinician dictating notes or reviewing an image without touching a keyboard. It supports OpenAI, Anthropic, and local models. Tools I use most often: LangChain and LangGraph for RAG systems, OpenAI and Hugging Face for AI models, Pinecone and ChromaDB for document search, and Docker and AWS for hosting. For the application side, I use React, Node.js, and PostgreSQL to build dashboards and connect everything together. Healthcare data needs careful handling. On my RAG project, I built automatic detection and removal of protected health information before any data entered the system, so documents could be searched without exposing patient details. On every project, I also set up role-based access and encrypt data both in storage and in transit. If you have a healthcare AI project in mind, send me a message with the type of data you're working with and the main question you want your system to answer. I will reply within a day with some initial thoughts.

Full-stack AI engineer for B2B SaaS. Multi-agent systems, RAG pipelines, and document intelligence that ship to production. One engineer owns the AI, backend, and frontend; no team to assemble. 100+ systems live across legal, fintech, edtech, and Dynamics 365 ERP. Backend proven under real production load (FastAPI). ~10 years building production software and years deep in AI, on AWS, GCP, and Azure. You won't need a separate frontend developer, product manager, and QA engineer. I take the requirements, make the technical calls, own the features, and hand back working software, not a list of problems. If it doesn't run in production, it doesn't count. So I do the deeper production engineering that keeps a system reliable: harness engineering around the model, guardrails, evaluations and LLM-as-judge quality gates, model routing, and observability so you see problems before your users do. The result holds up at real scale and stays affordable to run. What I can build for you - Full-stack scalable AI solutions/Apps, end to end: one developer owns the AI, backend, frontend, UX, and the product calls, so you don't assemble a team - AI agents and multi-agent systems that plan, take actions, and finish real tasks - RAG, GraphRAG, and AI chat over your own documents, knowledge base, or data, with citations - Document intelligence: read, classify, extract, and validate data from contracts, financial documents, and forms - AI built into a product you already use (your site, LMS, CRM, even Microsoft Word) - AI and optimization inside your ERP, especially Microsoft Dynamics 365 with Azure AI and Power Apps: copilots, plain-language answers over your ERP data, and automated workflows inside the system you already run - Regulated-domain AI for healthcare, finance, and legal: guardrails in code, audit trails, confidence scoring, human-in-the-loop - Cutting AI running costs with model routing and prompt caching (I've cut client AI spend 75%) Recent systems I've built Contract review inside Microsoft Word. A contract intelligence platform that checks a vendor contract against your playbook, with 23 AI agents scoring every clause across 12 legal categories, flagging risky language, and suggesting fixes. A full review takes 5 to 10 minutes instead of hours, right inside Word where lawyers already work. It runs in production on AWS, and smart routing cut the AI cost 75%. An investment platform for a $850M-AUM family office. Investment and legal documents (PPMs, SPAs, cap tables) become validated structured data, linked in a Neo4j knowledge graph. Seven AI agents answer in plain English: "What are our total obligations in this company?" comes back in seconds, source attached, behind role-based access. It runs in production on Google Cloud. A live AI co-pilot for K-12 writing teachers, embedded in their LMS. Teachers ask in plain language and get a classroom-ready 4-step lesson in seconds, grounded in their own curriculum by hybrid RAG, and an LLM-as-judge scores every lesson on a 100-point rubric before it ships. Active client. AI and optimization inside an enterprise ERP. For an automotive-parts manufacturer with multi-region warehouses, I optimized inventory slotting and picker routes, then optimized freight routes and wired it directly into their Microsoft Dynamics 365 ERP, so it runs inside the system their operations team already uses. Bringing AI and optimization into Dynamics 365 is a lane I deliberately specialize in: most ERP consultants can't build the AI and most AI engineers can't touch the ERP. One client trusted me with $56,000 of repeat work at a 5.0 rating. How I work I scope before I build. Every engagement starts with an architecture plan and acceptance criteria. Weekly demos, daily updates, a reply within a few hours. A working proof of concept in days, production in weeks. Two of my clients have worked with me for over a year, and I've delivered every contract without a single failure. The only work I'm not right for is a throwaway ChatGPT wrapper with no real product behind it. Anything that has to run in production and grow, that is my work. Tech I work with Agents: Google ADK, AWS Bedrock AgentCore, LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, MCP LLMs: Claude, GPT-4o/5, Gemini, Llama, Amazon Nova, LiteLLM routing, Ollama for on-prem RAG and data: Qdrant, Pinecone, Weaviate, pgvector, Neo4j, Elasticsearch, Vertex AI Search, hybrid search, GraphRAG Full-stack: Next.js, React, TypeScript, FastAPI, Python, PostgreSQL Cloud and ERP: AWS, GCP, Azure, Microsoft Dynamics 365, Docker, Kubernetes, Terraform Tell me what you want to build and I'll send a one-page plan within 24 hours: how I'd build it, what it costs to run, and a timeline. If it's not a fit, I'll say so up front.

𝗜 𝗮𝗺 𝗮 𝘀𝗲𝗻𝗶𝗼𝗿 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. 𝗠𝘆 𝗧𝗲𝗰𝗵 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Python, Django, Flask, FAST API Automation- Zapier, Make.com, N8N - both workflow and task automations PHP, Laravel, WordPress, Drupal, MySQL, HubSpot CMS, HubL, HubSpot CRM JavaScript AI development- OpenAI LLM, Gemini, LLAMA and other open-source models AI Tools Expertise: Loveable, Cursor AI, Base 44, Replit and related ones. REST API | RESTful API | GraphQL | WebSockets OAuth 2.0, JSON Web Tokens (JWT) Deep Learning Frameworks like TensorFlow, PyTorch, Scikit-learn. Natural Language Processing (NLP) Frameworks like Natural Language Toolkit (NLTK), Hugging Face, LangChain Blockchain My skills extend to Web scraping, data extraction and data mining using BeautifulSoup, Selenium, Scrapy, Lxml, Urllib3, MechanicalSoup, Urllib, Playwright, Pandas, Requests, ZenRows, Puppeteer(Headless Browsers) etc. 𝟯𝗿𝗱 𝗣𝗮𝗿𝘁𝘆 𝗔𝗣𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗜 𝗵𝗮𝘃𝗲 𝗱𝗼𝗻𝗲 𝗮𝗿𝗲 GPT-4o, GPT-4, and GPT-3.5 Turbo, Salesforce, Braintree, Escrow API, Stripe API, Expedia, Beds 24, Slack, Twilio, Shopify, Formstack, Shipbob, Shippo, DocuSign, e-Verify, Meta ADS API, Google Drive API, LiveChat API, HubSpot API, Google Maps API, Google Places API, Google Earth API, Gmail API, Monday CRM API, and many many more. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵- Fintech, Forex, Real Estate & Property Management, Financial Institutions, eCommerce, Healthcare, Medical, Automotive, Construction, Education/ Ed-Tech, IT & Tech, Tourism and Hospitality and some others. I am available round the clock and please feel to reach out to me for your project requirements or initial consultation call. I'd be happy to work with you. Thanks & regards, Shekhar

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Web Scraping and Data Mining Expert at GroupBWT - a 100-person engineering team delivering scalable, high-accuracy data extraction and web scraping systems since 2009. I specialize in building end-to-end data mining and lead generation pipelines using tools like Python, Selenium, Playwright, and Puppeteer to extract structured information from complex, dynamic, and protected sources. Over the years, I’ve worked on systems where data mining and web scraping are core infrastructure components, not just scripts. We help clients replace spreadsheets, manual monitoring, and unreliable sources with fully automated pipelines delivered into APIs, dashboards, or databases: ✅ Our Python Web Scraping and data mining systems process over 1.5 million URLs per day, with proxy rotation, retry logic, and real-time monitoring. ✅ We reduce reporting delays by 70% using real-time data mining and web scraping pipelines for inventory, pricing, and market tracking. ✅ Our systems collect and structure more than 15,000 news articles weekly using web scraping and data mining pipelines, converting unstructured content into usable insights. 🔁 What I do 📦 Python Web Scraping Data Mining: We build large-scale Python Web Scraping data mining systems that extract structured data from marketplaces, real estate platforms, B2B directories, social networks, and news sources. ✔ Product & Price Monitoring ✔ Competitor Analysis ✔ Business Directory extraction ✔ Lead Generation & Contact Discovery 🧹 Cleaning, Enrichment & Integration We don’t stop at extraction - every data mining and Python Web Scraping pipeline includes cleaning, normalization, deduplication, and enrichment. We turn raw outputs into Data Analyst-ready datasets that integrate with CRMs, BI tools, and internal systems. ✔ Document & Market analysis ✔ Data matching and enrichment ✔ Classification and tagging 📤 Automation & Scalable Delivery We design recurring web scraping data mining pipelines that run daily or hourly with full observability. Every web scraping data mining system includes monitoring, alerts, retries, and structured delivery into APIs, databases, or BI dashboards. ✔ Scheduled web scraping data mining pipelines ✔ Real-time dashboards ✔ Automated reporting feeds ✔ Lead Generation database creation and enrichment ✔ Custom bot developer solutions ✔ Data Analyst-ready dataset 🧾 Data Entry & Data Scraping Support We provide structured Data Entry services: ✔ Lead Generation database creation and enrichment ✔ Data Entry for large-scale scraped datasets into spreadsheets, CRMs, and databases ✔ Data Entry automation for transforming unstructured data scraping outputs into structured records ✔ High-volume Data Entry handling for product, business, and directory information ✔ Data Entry validation to ensure accuracy and consistency across datasets ✔ Semi-automated Data Entry workflows ⚙️ Tech Stack: Languages: Python, JavaScript, PHP Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, MSSQL, Snowflake Frameworks: Scrapy, Twisted, Hadoop, DRF, Laravel, ApacheSpark Containerization: Docker, k8s Message Brokers: RabbitMQ, Redis AWS: EC2, SQS, RDS, S3, Lambda, Gateway, Neptune Libraries: Celery, Puppeteer, NLTK, numpy, pandas, spaCy, TensorFlow, scikit-learn, React-PHP, Keras, sqlalchemy, Gensim, pyTorch RPA & Workflow: Selenium, Playwright, UI automation, Slack/Google Sheets integrations, API workflows, Excel automation Bot Developer: Custom bot developer | data scraper solutions Platform: Databricks, Snowflake, BigQuery, Airflow, DBT, Redshift, Power BI 🧩 SAMPLE WEB SCRAPING & DATA MINING PROJECTS ✅ Built a platform covering 300+ marketplaces using Python Web Scraping and data mining, processing 60M+ records daily ✅ Built pricing intelligence system using data mining and Python Web Scraping across 120+ eCommerce domains ✅ Delivered news intelligence platform powered by web scraping data mining from 80+ global media sources ✅ Built a lead generation platform using Python scraping and web scraping data collection across multiple business directories, generating thousands of verified leads weekly 🤝 Why Clients Work With Us: ✅ Enterprise-Grade Web Scraping & Data Mining Systems 🔹 We build full-scale ecosystems, not scripts - every Python Web Scraping and data mining system includes monitoring, scaling, error recovery, and Data Analyst-ready outputs. 🔹 Clients reduce manual work by up to 60% using automated web scraping data mining pipelines 🔹 Result: 25-35% lower operational costs through stable web scraping data mining infrastructure ✅ Built to Scale 🔹 Systems handle 100M+ pages/month using web scraping data mining architecture 🔹 Designed for horizontal scaling of web scraping data mining workloads 🔹 Real-time updates through scheduled web scraping and data mining execution 🚀 Ready to turn data into structured intelligence using web scraping and data mining? ➡️ Invite me to your job and let’s build your pipeline

🚀 AI Consultant & Python Engineer | LLM Integration | Automation | Django & FastAPI I help startups and businesses unlock real ROI from AI — not just hype. With 5+ years of hands-on experience in Python, Django, FastAPI, and machine learning, I've shipped production-grade AI systems across EdTech, AgriTech, HR, and e-commerce. 💡 What I bring to the table: • AI & LLM Integration (OpenAI, LangChain, RAG pipelines, Agents) • Full-Stack Python Development (Django, FastAPI, Flask, REST APIs) • Data Engineering & Automation (Celery, Pandas, PostgreSQL, Redis) • Cloud Deployment (AWS, GCP, Docker, CI/CD) • Voice AI, Transcription Agents, and NLP solutions ✅ 100% Job Success | 47+ Completed Projects | Top-Rated on Upwork Recent AI wins: → Built a Voice Transcription & Analysis MVP delivered in 48 hours → Developed a Reddit Data Analysis tool with FastAPI integration → Architected an AI-powered Shopify App for automated Instagram posting → Delivered an AI-branded virtual classroom (Teacher Launchpad) I've worked full-time at Zattoo (Berlin) as a Python Backend Engineer, and at Crimson Education as a Django developer — building scalable, maintainable systems used by thousands. I'm based in Berlin, speak fluent English and Urdu, and take pride in clear communication and on-time delivery. Whether you need a production-ready AI agent, a data pipeline, or a robust web backend — I've done it, I can prove it, and I'm ready to do it for you. Let's build something that actually works. 👇