𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar

⚡ I focus on what works, not what sounds good. 𝟴 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻. Top-Rated Plus on Upwork. Inc. 5000 clients on the roster. Live in production right now: an AI contact center across 𝟭𝟱+ 𝗦𝗮𝘂𝗱𝗶 𝗴𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗶𝗲𝘀, a language platform with 𝟱𝟬,𝟬𝟬𝟬+ 𝘂𝘀𝗲𝗿𝘀 across 𝟯𝟭 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀, HIPAA-grade clinical intake for US healthcare, and AI commerce tools for Inc. 5000 brands. Government. Healthcare. EdTech. Enterprise. Built across all of them. 🚀 𝗠𝗮𝗷𝗼𝗿 𝗟𝗶𝘃𝗲 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: • GCC Government Contact Center — Production RAG system serving 15+ Saudi government ministries. 7,500+ documents on Weaviate, hybrid retrieval, <5% hallucination, >85% answer correctness. (Under NDA live walkthrough on call.) • YourTeacher.ai — Scaled from $0 to 𝟱𝟬,𝟬𝟬𝟬+ 𝗮𝗰𝘁𝗶𝘃𝗲 𝘂𝘀𝗲𝗿𝘀 across 𝟯𝟭 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀. AI tutors with voice cloning, real-time pronunciation feedback, Whisper + ElevenLabs. • SettleWing (US Personal Injury Law) — Legal AI that turns 𝟮–𝟯 𝗵𝗼𝘂𝗿 demand-letter prep into minutes. HIPAA-compliant, with Medicare fee calculations and state-specific citations. • SmartHistory.ai (Dr. Brigham) — HIPAA-grade clinical AI intake platform. Voice-enabled patient interviews with structured medical summaries for providers. • Senthora AI — AI mobile app with OAuth, subscriptions, and a personalized dashboard. 𝟳𝟬–𝟵𝟬% cost reduction vs traditional 1:1 alternatives. • PostureGuard (iOS) — AirPods-powered posture detection for kids with app-blocking and Apple Family Controls. Native Swift/iOS build. • IFPG (1,000+ Franchise Network)— Custom RAG + advanced prompt engineering. Lifted financial response accuracy from 𝟰𝟬% → 𝟵𝟱%, increased qualified leads by 𝟯𝟱%, reduced support time by 𝟰𝟬%. • CarGentur (Germany) — AI sales chatbot → full CRM rebuild. 𝟰𝟬% higher engagement, 𝟮𝟬% conversion lift. Now powering inventory, lead scoring, and unified comms (Email/WhatsApp/3CX). • Dynasty Pulse — Real-time AI summarization pipeline (Claude Opus + RSS automation). Reduced content latency by 𝟵𝟴%. • Diesel Repair Chat (Diesel Laptops) — Replaced static dropdowns with chat NLP. Cut diagnostic search time by 𝟴𝟱% for mechanics. • Pokémon TCG Intelligence — Processes 𝟮𝟲𝟬,𝟬𝟬𝟬+ 𝗽𝗿𝗶𝗰𝗲 𝗽𝗼𝗶𝗻𝘁𝘀 𝗱𝗮𝗶𝗹𝘆 with LLM-powered grading ROI. Users found 𝟯𝘅 𝗺𝗼𝗿𝗲 profitable opportunities. • TitoAI (Telecom) — WhatsApp-native LangGraph agent for airtime, data bundles, and crowdfunding across all major Nigerian networks. 📈 𝗛𝗶𝗴𝗵-𝗦𝘁𝗮𝗸𝗲𝘀 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜'𝘃𝗲 𝗦𝗼𝗹𝘃𝗲𝗱: • Government-grade Contact Centers: Hallucinations <5%, accuracy 85%+ • Enterprise WMS: Text-to-SQL across 130+ DB tables for non-technical staff • EdTech Scaling: $0 → 50,000+ users, 31 languages • Healthcare (HIPAA): Clinical AI intake + neural monitoring tools • E-commerce: 45% faster time-to-market, instant image search at million-product scale 💼 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝘁𝗮𝘆. 𝗪𝗵𝘆 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗦𝘂𝗰𝗰𝗲𝗲𝗱. • 𝗙𝗮𝘀𝘁 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Roadmap to launch in 8–10 weeks. Not months. • 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀 𝗨𝗻𝗱𝗲𝗿 𝟱%: AI your users can actually trust. • 𝗭𝗲𝗿𝗼 𝗚𝘂𝗲𝘀𝘀𝘄𝗼𝗿𝗸: Weekly Loom updates + live demos. Every 7 days. • 𝟰𝟬% 𝗟𝗼𝘄𝗲𝗿 𝗔𝗜 𝗖𝗼𝘀𝘁𝘀: Smart token optimization. Lean spend. No quality tradeoff. • 𝟵𝟬 𝗗𝗮𝘆𝘀 𝗣𝗼𝘀𝘁-𝗟𝗮𝘂𝗻𝗰𝗵: I stay until the system scales with your growth. ⚙️ 𝗙𝗿𝗼𝗻𝘁𝗶𝗲𝗿 𝗧𝗲𝗰𝗵. 𝗡𝗼𝘁 𝗬𝗲𝘀𝘁𝗲𝗿𝗱𝗮𝘆'𝘀 𝗦𝘁𝗮𝗰𝗸. 𝗟𝗟𝗠𝘀 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜: GPT-5.2, Claude Opus 4.7, Gemini 3.1 Pro, Llama 4, LangGraph, RAG Pipelines 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangChain, CrewAI, OpenAI Agents SDK, Qdrant, Pinecone, Weaviate 𝗩𝗼𝗶𝗰𝗲 & 𝗩𝗶𝘀𝗶𝗼𝗻: VAPI, ElevenLabs, LiveKit, Whisper v3, GPT-Vision, Stable Diffusion XL, ControlNet, YOLO 𝗜𝗻𝗳𝗿𝗮: AWS, GCP, Supabase, PostgreSQL, MongoDB, Redis, Docker, FastAPI, Python ✅BEST FOR YOU IF • You have a real project and want it done properly, not rushed. • You have a realistic budget for quality work and clean delivery. • You want someone who plans first and builds with logic, not guesswork. • You need something that works in production, not just a demo. • You value weekly updates and clear communication. ❌ NOT FOR YOU IF • You are mainly choosing based on the cheapest rate. • You expect a full build in a week or any tight, unrealistic deadline. • You want to start without a clear scope, access, or requirements. • You prefer minimal discussion and no recommendations. • You care more about speed than stability and long-term results. --- 🚀 READY TO BUILD? Drop me a message with a quick project overview. If it's a fit, I'll tell you exactly how I'd execute it. If not, I'll honestly point you to someone who can.

I build high-performance Python backends and integrate powerful AI to make your applications smarter. If you need a reliable, hands-on developer to build and deploy your cloud infrastructure, you're in the right place. I have a proven track record of taking complex ideas from concept to production. My experience spans the full backend lifecycle: designing scalable AWS architectures (Lambda, DynamoDB), developing clean and efficient Python APIs, and integrating third-party services like the OpenAI API for intelligent features. What I deliver: - Fast, Scalable Backends: Architected on AWS for optimal performance and cost. - Intelligent Features: Seamless integration of AI/ML models to automate tasks and provide insights. - Clean, Maintainable Code: Well-documented Python that your team can build upon. - End-to-End Solutions: From database design (SQL/NoSQL) to final deployment. Check out my portfolio to see my work. If you need a developer who can hit the ground running, click "Invite" and let's get started.

⭐️ Top Rated Plus - Top 1% of talent on Upwork 🕒 Experienced Software and AI Engineer with MSc from Oxford University ✅ 7+ years of experience ✅ 50+ projects delivered ✅ Excelling in delivering Enterprise scale projects I help companies turn complex ideas into production-ready AI platforms, intelligent agents, and scalable web/mobile systems that grow revenue, reduce costs, and unlock new opportunities. With an MSc from Oxford University and recognition as Top Rated Plus (Top 1%) on Upwork, I combine fractional CTO leadership with hands-on engineering across AI/ML, Generative AI, and full-stack development. My Guarantee: If I set the wrong expectation or fail to deliver as promised, you get a full refund. Your investment is risk-free. 🔹 How I Create Value AI & ML Systems – predictive analytics that improve decision-making, recommendation engines that drive conversions, anomaly detection that cuts fraud and downtime. Generative AI Solutions – RAG pipelines, AI agents, and copilots that save teams hundreds of hours, boost customer satisfaction, and surface insights instantly from data. Full-Stack Development – scalable SaaS platforms, APIs, and mobile apps that become growth engines, enabling clients to reach markets faster and raise funding. Enterprise Delivery – secure, compliant (SOC2, GDPR, HIPAA) systems built to perform at scale with clear metrics: lower latency, higher accuracy, reduced manual effort. 🔹 Tech Stack & Platforms AI/ML: Python • PyTorch • TensorFlow • Keras • Scikit-learn • Hugging Face • MLflow • MLOps Generative AI: GPT-4/Claude/LLaMA • LangChain • LangGraph • LlamaIndex • Pinecone • Weaviate • Qdrant • ChromaDB Full-Stack: React • Next.js • Vue.js • Angular • Node.js • FastAPI • Django • Flask • React Native • Flutter Cloud & DevOps: AWS • GCP • Azure • Docker • Kubernetes • Terraform • CI/CD Recent Client Wins Fundment (FinTech, UK): Scaled backend systems for regulatory compliance and growth → Fundment has since raised £45M+ to expand operations. Clippd (Sports Analytics, UK): Built data pipelines and ML modules powering elite golf analytics → supported a $10M+ VC round and global adoption across professional golf programs. Novai (Biotech, UK): Developed the Darc Stratos AI clinical trial platform → enabled Novai to raise $3.7M+ in pre-seed and seed funding to take their biomarker to market. MarketingCopy AI (Generative SaaS): Built end-to-end GPT-powered SaaS product → helped the founders secure seed investment and onboard early enterprise customers. Pixelogy Network (Digital Securities): Delivered AI-based identity verification & KYC system → transformed investor onboarding for regulated capital raising. Nestlé (Retail Innovation, Global): Built a digital shopping assistant in collaboration with FusePump → scaled e-commerce personalization across markets. 🔹 Why Clients Trust Me ✓ Fractional CTO & hands-on builder — I architect and code ✓ 90+ projects delivered with measurable business outcomes ✓ Top Rated Plus • Expert-Vetted • 100% Job Success ✓ Risk-free engagement: refund guarantee if I don’t deliver what’s promised Beyond technical prowess, I pride myself on honesty and empathy, understanding the challenges businesses face firsthand. Your success is my utmost priority, and I'm eager to learn more about your ventures. Don't hesitate to reach out—I'm here to support and propel your journey to success!

I primarily work on four types of projects: 1) Crafting your AI Strategy Expand your business vision with the latest tools and frameworks. Teach me about your industry, and I'll steer your AI journey from discovery through deployment—identifying opportunities, crafting your roadmap, and shaping a data-driven strategy that delivers measurable impact. 2) Automation and Intelligent Workflows Transform time-sensitive, repetitive tasks into streamlined, AI-powered workflows—from lead validation and customer onboarding to compiling accurate, visually compelling reports and advanced analytics. I help boost efficiency, reduce manual effort, and scale your operations. 3) Conversational bots and Multi-Agent Systems Engage users and help employees with text and audio based conversations. Whether for customer service, data scientists on top of internal DBs and training material, or compliance-based communication, our solutions act autonomously and collaborate seamlessly to get things done. 4) AI-Assisted Full Stack Development Our team is trained to use AI judiciously during every stage of development. Vibe coding can go horribly wrong when in the hands of the uninitiated, but when you combine tools like Cursor with our engineering expertise, you get reliable new products and services faster than has ever been possible. My portfolio has more examples, but in short, if you're looking to build specialized agents to perform enterprise-ready tasks, you'd be hard-pressed to find a more qualified developer anywhere on Upwork. I'll be applying as an organization - krazimo (krazimo.com), so you'll get two world-class engineers (Mridul and I) working on your project, as well as a number of junior engineers to perform the smaller engineering tasks. You'll have full transparency into who's doing what, and our junior engineers work for approximately 2/3 our hourly rate. Here's a little about my 11 years of experience. Google (2019-2025) I spent six years as a senior software engineer at Google. My two major projects currently were Admin AI Assistant: I'm worked as an LLM specialist on building a RAG solution to improve Google's customer service in our workspace Admin Console. Gemini Reporting: Led a team of 10 people in building a large scale pipeline that can handle high QPS events on Gemini usage and report on value and RoI for our Gemini Product in Google Workspace. Apart from these, I have designed, implemented and shipped many technically complex products at Google. They often involved coordinating efforts among large teams and always required me to adhere to the highest engineering standards. I hope I can bring this expertise to your company. NLP Engineer (2016-2019) Cofounded, Headed AI and built the prototype and MVP for Butter.ai, which raised $3M in seed funding and was eventually acquired by Box. Worked on sentiment analysis problems for psychiatric chat centers (analysis user messages to flag dangerous situations) Worked on text extraction and question answering problems for a company that helped health insurance providers answer complex questions related to a customer's coverage. Mobile Engineer (2013-2015) Worked on a number of apps for clients - including building the cleartax.in android application. Worked at IBM as a software engineer on a MDM product that involved core android development (very low level control of services and permissions). At the moment, this process is more about exploring the space and seeing what people are looking for in the world of AI, outside massive AI-centric companies like Google (my hourly rate is actually below my current salary, so you're getting a pretty great deal while I perform this exploration)!

𝟔𝟎+ 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏𝐬, 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐛𝐮𝐢𝐥𝐝𝐬 | 𝐌𝐨𝐧𝐞𝐲 𝐛𝐚𝐜𝐤 𝐠𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞 | 𝐍𝐞𝐱𝐭.𝐣𝐬 + 𝐑𝐞𝐚𝐜𝐭 + 𝐏𝐲𝐭𝐡𝐨𝐧 + 𝐃𝐣𝐚𝐧𝐠𝐨 | 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐨𝐫 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐚𝐧𝐝 𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗜’𝘃𝗲 𝗯𝘂𝗶𝗹𝘁 ➔ B2B SaaS and subscription products ➔ FinTech, trading, and payment systems ➔ AI-powered apps, agents, and automation tools ➔ Healthcare, pharma, and HIPAA-aware platforms ➔ eCommerce, marketplaces, and multi-vendor systems ➔ AdTech, marketing, and lead-gen platforms ➔ EdTech and learning management systems ➔ Real estate and booking platforms ➔ Internal tools, admin panels, and data dashboards 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 ➔ Full-Stack Development: Next.js, React, React Native, Python, Django, FastAPI, Node.js, Express.js, NestJS ➔ AI App Development: AI Agents, RAG systems, Chatbot Development, LLM Integrations, Generative AI, NLP, Computer Vision with Claude, OpenAI API, GPT-5 API, LangChain ➔ AI Automation connecting LLMs to your data, CRMs, and workflows (Salesforce, Microsoft Dynamics CRM, Zoho, Pipedrive) ➔ API Development and API Integration: REST API, GraphQL, WebSockets, Webhook Integration, Stripe API, Twilio, with secure User Authentication (JWT, OAuth, Clerk) ➔ Cloud Architecture, Database Design, and Database Architecture built for real traffic 𝐌𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐜𝐥𝐢𝐞𝐧𝐭 𝐨𝐮𝐭𝐜𝐨𝐦𝐞𝐬 ✔ End-to-end ownership: from API to UI, one developer, no handoff gaps ✔ Production-grade systems: not prototype code that breaks at scale ✔ Shipped SaaS MVPs from idea to launch on real timelines ✔ Added AI Agents and RAG into live platforms already serving users ✔ Systems handling 100K+ users and high-traffic load ✔ Scalable Python and Node.js backends built for long-term growth ✔ Maintainable APIs, dashboards, and internal tools your team can actually run ✔ Clear, direct communication: you always know where things stand 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 & 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 • Next.js | React | React Native | Vue.js | TypeScript | JavaScript | Tailwind CSS | Material UI | Ant Design | WebGL • Python | Django | FastAPI | Flask | Node.js | Express.js | NestJS • PostgreSQL | MySQL | MongoDB | Redis | Supabase | ClickHouse • REST API | GraphQL | WebSockets | API Integration | Webhooks • Claude | OpenAI API | GPT-5 | LangChain | RAG | Generative AI | NLP | Computer Vision | TensorFlow | Dialogflow • AI Agents | Machine Learning | Deep Learning | LLM Prompt Engineering | AI Automation • AWS (EC2, S3, RDS, Fargate, CloudFront) | Google Cloud | Docker | Kubernetes | Terraform • GitHub Actions | Nginx | Cloudflare | Prometheus | Grafana | CI/CD | Infrastructure as Code • Stripe | Twilio | Shopify | Salesforce | ElevenLabs | Payment Gateway Integration • Git | GitHub | Vercel | Figma | Agile | Highcharts | Chart.js | Data Visualization 𝗧𝗶𝗿𝗲𝗱 𝗼𝗳 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘄𝗵𝗼 𝗼𝘃𝗲𝗿𝗽𝗿𝗼𝗺𝗶𝘀𝗲 𝗮𝗻𝗱 𝘂𝗻𝗱𝗲𝗿𝗱𝗲𝗹𝗶𝘃𝗲𝗿? 𝗟𝗲𝘁'𝘀 𝗵𝗮𝘃𝗲 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻📩

Tech founders and CTOs hire me, a results-driven AI Engineer and Backend Developer , when they need to transition an unpredictable AI prototype into a secure, scalable, production-grade system. Most AI projects stall because developers build fragile prompt wrappers that break under real-world traffic. As a senior AI Engineer, I specialize in building robust Python backends, autonomous multi-agent architectures, and deterministic software engines designed to run reliably at scale. My AI systems are engineered for production, not demos. Over the past eight years, I have engineered and deployed technical systems that translate directly into business value. As a Backend Developer and AI Engineer, I designed a cross-industry MVP in 2021 for the healthcare, real estate, and fintech sectors that successfully scaled into a commercial B2B SaaS platform currently generating over $7M in recurring ROI per annum, proof that strong Python-driven architecture and disciplined AI engineering deliver real outcomes. 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗚𝗲𝘁 𝗪𝗵𝗲𝗻 𝗪𝗲 𝗪𝗼𝗿𝗸 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 • Production AI & RAG Pipelines: As a dedicated AI Engineer, I implement advanced Retrieval-Augmented Generation (RAG) pipelines using custom chunking strategies, token optimization, prompt caching, and hybrid semantic search via OpenAI and Claude APIs. Every RAG system I build is optimized for accuracy, speed, and cost efficiency. • Autonomous Multi-Agent Systems: Multi-step orchestration workflows built with LangChain, AutoGen, and MCP (Model Context Protocol) to handle continuous background monitoring and complex data execution, core capabilities every modern Backend Developer specializing in AI must master. • High-Performance Backend Architecture: Fast, asynchronous REST APIs engineered with Python and FastAPI, keeping your probabilistic AI outputs strictly separated from exact financial or relational database logic. Clean Python architecture is non-negotiable at scale. • Enterprise Infrastructure & MLOps: Containerized deployments using Docker, automated Infrastructure-as-Code (IaC) via Terraform, and continuous integration pipelines with GitHub Actions across AWS and Azure AI Foundry, built to support enterprise SaaS operations end to end. • Full SaaS Core Frameworks: Secure relational database modeling (PostgreSQL, Supabase, SQL Server), OAuth/JWT authentication (Clerk, NextAuth), and multi-tenant subscription mechanics using Stripe, the complete SaaS stack, fully production-hardened. 𝗪𝗵𝘆 𝗜 𝗔𝗺 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗙𝗶𝘁 𝗳𝗼𝗿 𝗬𝗼𝘂𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 • Trench-Tested Technical Ownership: Having spent over eight years working between business clients and core development teams as both AI Engineer and Backend Developer, I don't need hand-holding. I design the database schemas, analyze response latencies, and minimize api token burn rates out of the box. • Security & Compliance Frameworks: I understand how to handle AI data pipelines under strict operational guardrails, including HIPAA compliance and PHI data protection for healthcare SaaS software, and SOC2 readiness for fintech operations. • Clean, Enterprise-Ready Deliverables: Every Python-engineered system I deploy features comprehensive automated testing (Unit/E2E), explicit error trapping, and structured operational runbooks so your internal engineering team can scale it smoothly. • Full-Stack Fluency: While my core domain is AI backend engineering, optimization, and MLOps, my proficiency as a Backend Developer with React and Next.js ensures absolute alignment across your front-end asset publishing and user journey layouts , critical for polished SaaS products. Whether your platform requires deep document intelligence with RAG and OCR pipelines, local open-source model serving via vLLM and llama.cpp, or deep third-party integrations with travel GDS, WhatsApp Business, or Meta/Google Ads APIs, as your trusted Backend Developer and senior AI Engineer, I build it to last in Python. 𝗟𝗲𝘁'𝘀 𝘀𝗲𝘁 𝘂𝗽 𝗮 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗰𝗮𝗹𝗹 𝘁𝗼 𝗮𝘂𝗱𝗶𝘁 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗶𝘀𝗼𝗹𝗮𝘁𝗲 𝘆𝗼𝘂𝗿 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀, 𝗮𝗻𝗱 𝗺𝗮𝗽 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝘀𝘁𝗲𝗽𝘀.

Most AI systems work in demos. Mine work in production. I specialize in building agentic AI systems, multi-agent orchestration, and intelligent workflow automation for HealthTech, LegalTech, FinTech, and multi-tenant SaaS platforms. Recent production systems include SANAM a multi-tenant agentic AI platform and JADA a full-stack AI-powered legal operations system serving US and Mexican law firms. What I build: . AI agents with scoped tools, guardrails, and auditable execution . Multi-agent orchestration with LangGraph and LangChain . Workflow automation event-driven, scheduled, and webhook-triggered via Temporal . Human-in-the-loop systems via email, Slack, and approval flows . RAG pipelines with chunking strategy, retrieval optimization, and citation flow . LLM integration using OpenAI and Anthropic with structured, validated outputs . Multi-tenant SaaS architecture with tenant isolation and role-based access . API integrations via Composio Odoo, SAP, Slack, and custom connectors How I work: I don't start with prompts I start with system behavior. → How agents coordinate and hand off tasks → How workflows execute reliably under real load → How retrieval stays accurate as data grows → How outputs remain consistent when real users hit the system This is the layer most teams underestimate and where most AI projects break after launch. Stack: LangChain · LangGraph · FastAPI · Temporal · Composio · pgVector · Pinecone · ChromaDB · OpenAI · Anthropic · Claude · Python · AWS · Supabase · PostgreSQL Domains: HealthTech · LegalTech · FinTech · Enterprise SaaS · Workflow Automation Open to discussing your project happy to review your current setup and suggest the right approach.

𝗠𝘆 𝗴𝗼𝗮𝗹 𝗶𝘀 𝘁𝗼 𝗰𝘂𝘁 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗔𝗜 𝗵𝘆𝗽𝗲 𝗮𝗻𝗱 𝗴𝗶𝘃𝗲 𝘆𝗼𝘂 𝗿𝗲𝗮𝗹 𝘁𝗮𝗹𝗸—𝗿𝗲𝗴𝗮𝗿𝗱𝗹𝗲𝘀𝘀 𝗼𝗳 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘁𝗵𝗮𝘁 𝗹𝗲𝗮𝗱𝘀 𝘁𝗼 𝗮 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝘄𝗶𝘁𝗵 𝗺𝗲. Most businesses know they should be using AI agents and automation, but they often get stuck—drowning in AI hype, unsure how it will fit into their operations, and overwhelmed by the complexity of implementing it. I've helped more than 20 businesses cut through the noise by implementing practical AI systems that deliver measurable results (results mentioned below). I’m a Micro1 Certified Principle Software Engineer with 9+ years of experience specializing in Python, Django, and Django REST Framework with advanced skills in React, GeoDjango, PostGIS, and DRF-GIS for spatial applications. ✅ What I Offer: Full-Stack Web Development using Django, React/Vue, PostgreSQL, and Tailwind REST API Design with Django REST Framework and DRF-GIS AI & LLM Integration using LangChain, OpenAI APIs, and custom NLP pipelines Cloud Deployment & DevOps: Docker, CI/CD, Kubernetes, GCP Cloud Functions, AWS Lambda, EC2, S3 Database Optimization with PostgreSQL, PostGIS, and raw SQL performance tuning Scalable Architecture: Microservices, event-driven systems, and message queues (Celery, Redis, RabbitMQ) Testing & QA: Pytest, FactoryBoy, unit + integration testing, Postman collections 🔍 Industries Served: Healthcare (EHR integrations, HIPAA-compliant apps) Fintech (secure transactions, AML/KYC pipelines) Security & Threat Intelligence (custom ACL systems, real-time alerts) Geospatial/Mapping Applications (location-based services using PostGIS + DRF-GIS) 🧠 Passionate about building AI-powered web apps and integrating LLM workflows into Django systems. Whether you're looking to fine-tune GPT for your business logic or build semantic search with ChromaDB or Weaviate, I can architect and implement the full pipeline. 📈 Let’s Scale Your Product: I don’t just write code—I solve problems, optimize performance, and deliver production-ready solutions that scale. Whether you're a startup or an enterprise, I’ll help you move faster with clean, well-tested code and clear communication. 💼 Open to long-term contracts, SaaS MVP builds, and AI integrations.

Here are feedbacks from my previous clients: "Direct Quote from FAANG measurement manager who worked with Hamza for over 1.5 years: "I had the privilege of working alongside Hamza in his role as a Senior Cloud & Back End Engineer. Hamza's comprehensive understanding of computer science, architectural and design patterns, and cloud technologies played a pivotal role in the success of our initiatives. His acumen in developing and implementing robust, scalable solutions was apparent in our marketing campaign planner. His expertise in Python, Javascript, and his adept use of databases like PostgreSQL and Firebase made him an integral part of our team. Hamza's proficiency in leveraging Google Cloud Platform was instrumental in enhancing our project's performance. He skillfully increased our systems' efficiency by utilising GCP MemoryStore, and his efficient handling of background tasks using Cloud Run and Cloud Scheduler was truly commendable. His pragmatic approach to backend development and extensive knowledge of API design and web security significantly contributed to the stability and performance of our software. Hamza's ability to balance his advanced technical skills with excellent communication abilities set him apart. His commitment to the team, made him a reliable team player. His dedication extended to meticulously reviewing the code developed by others, and his feedback invariably improved our productivity and work quality. I confidently recommend Hamza for any role requiring expertise in cloud and backend engineering. His potent combination of cloud and backend skills, coupled with his professional dedication, will undeniably be an asset to any team fortunate enough to have him"" --- "A really professional Dev Ops expert. Hamza is highly organised and very responsive. Managed to get a really tricky Google Cloud job done for me with a minimum of fuss. Definitely recommended, great work 10/10, thanks." --- "Did a great job - 10/10. One of the most thoroughly organised and responsive freelancers I have worked with. Did an excellent job in every area. This job was for a tough Google Cloud Dev Ops job based on a Strapi installation. He solved all the problems properly and communicated clearly and efficiently throughout the entire job. Overall very happy with the result and definitely wouldn't hesitate to recommend. Excellent work." --- "Hamza is AMAZING. He is so quick at the tasks because he is so experienced in python. We already have multiple jobs lined up for him on our project. He is going to be our python wizard! He is also very easy / kind to work with. Highly recommended." ---------- For several years, I have focused on deploying web applications and big data pipelines on Google Cloud Platform, utilizing its services such as Google App Engine, Cloud Run, Cloud Functions, Google Compute Engine, BigQuery, Dataflow. Load Balancer, Cloud CDN and Cloud Armor. My expertise lies in programming Python web and data applications, primarily using Django, Flask, FastAPI, and Webapp2 frameworks. Additionally, I have knowledge of other web technologies such as React JS, HTML, CSS, and JavaScript. I am always open to new challenges and problems, continually enhancing my skills and knowledge across various areas. I also have experience with web scraping for e-shops and real estate websites using tools like Scrapy, Playwright, Selenium, and BeautifulSoup.