𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐬𝐡𝐢𝐩𝐬. Founder-engineer vibes, sleeves rolled up, results on the board. I turn messy real-world video into stable, low-latency systems your team can trust, and your CFO can love. 𝐍𝐨𝐭𝐜𝐡𝐚 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐆𝐮𝐲 😎 I don’t stop at a cool demo. Shipping LootMart (hyper-local marketplace) taught me the full stack around models: clean APIs, rock-solid data contracts, observability, security, and predictable costs. That’s why my CV/ML services behave like products, not science projects. 𝐖𝐡𝐚𝐭 𝐈 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐃𝐨 - Computer Vision & Video Analytics (2D/3D): detection (YOLO/DETR), multi-object tracking (ByteTrack/DeepSORT), segmentation (U-Net), OCR/document AI, pose/re-ID, visual search & face/product matching (Siamese + Triplet Loss), point clouds & geometry. - High-Throughput Inference: NVIDIA Triton (dynamic batching, concurrent models, HTTP/gRPC), TensorRT (FP16), ONNX Runtime; autoscaling containers with health checks and graceful rollouts. - Robust Ingestion: multi-RTSP pipelines with back-pressure control using OpenCV, FFmpeg, PyAV/decord so frames don’t mysteriously vanish under load. - MLOps & Services: FastAPI/Flask gateways, worker queues, CI/CD, Docker + Nginx; W&B for experiments; versioned datasets; reproducible training. - Data & Integrations: Postgres (schema design, RLS, SQL/PLpgSQL), Redis, vector DBs (Milvus/Qdrant), webhook-driven architectures, n8n workflows for ETL/alerts, and MCP (Model Context Protocol) to wire AI tools into your internal systems. - Selective Full-Stack Glue (when it helps): Next.js app layers, secure webhooks, auth, real-time updates, and crisp dashboards so stakeholders can see impact. 𝐏𝐫𝐨𝐨𝐟 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐮𝐝𝐝𝐢𝐧𝐠 (𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐢𝐧𝐬) 1. Triton-backed real-time CCTV analytics across multiple cameras on commodity GPUs (dynamic batching = buttery latency). 2. Visual matching pipelines (Siamese/Triplet) for search/dedupe with rigorous evals and W&B tracking. 3. Heavy research models → ONNX/TensorRT → low-latency services that actually survive production traffic. 4. Production plumbing that lasts: Postgres-first data contracts, webhook fan-out, n8n automations... no brittle glue. 𝐇𝐨𝐰 𝐖𝐞’𝐥𝐥 𝐖𝐨𝐫𝐤 (𝐑𝐎𝐈 𝐅𝐢𝐫𝐬𝐭, 𝐀𝐥𝐰𝐚𝐲𝐬) 1. 30-min discovery → lock in the KPI (latency, accuracy, throughput, cost). 2. Roadmap & estimate → phases, risks, acceptance tests. 3. Build & validate → baselines first, then iterate; measurable deltas each milestone. 4. Handoff & scale → docs, runbooks, and knowledge transfer so your team owns it. 𝐂𝐨𝐫𝐞 𝐒𝐭𝐚𝐜𝐤 Python • PyTorch • TensorRT • ONNX Runtime • NVIDIA Triton • OpenCV • Kornia • FFmpeg • PyAV/decord • Postgres • Redis • Milvus/Qdrant • FastAPI/Flask • Next.js • Docker • Nginx • Weights & Biases • Webhooks • n8n • MCP 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Consulting/part-time (fractional) engagements: architecture reviews, performance tuning, prototypes, or owning a CV/ML workstream. Top-rated on Upwork. Minimum $100/hr. If you want production-ready computer vision, real-time video, reliable pipelines, and clear ROI, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤. I’ll map your goal to a pragmatic plan and ship results you can measure.

I help startups and businesses build 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏𝐬 and 𝐀𝐈 𝐌𝐕𝐏𝐬 that turn ideas into scalable, production-ready products. With 6+ years of backend development experience and 13+ successful projects delivered on Upwork, I specialize in developing AI-powered SaaS applications using Python, FastAPI, OpenAI, LangChain, vector databases, and modern cloud infrastructure. Whether you're validating a new startup, launching the first version of your SaaS product, or integrating AI into an existing platform, I build reliable applications that are designed for rapid iteration, long-term scalability, and real business impact. 𝐈 𝐝𝐨𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 : I help founders ship faster, validate product ideas, and create technical foundations that support future growth. ### What I can help you build: ✔ 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 End-to-end SaaS MVP development for startups, including authentication, multi-tenancy, dashboards, admin panels, user management, subscription billing, payment integrations, REST APIs, cloud deployment, and scalable backend architecture. ✔ 𝐀𝐈 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Rapid development of AI MVPs using OpenAI, Claude, Gemini, and modern LLM frameworks. Whether you're building an AI startup or adding intelligent features to your product, I can help you launch quickly without compromising scalability. ✔ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 Autonomous AI agents, multi-agent systems, tool-calling workflows, AI automation pipelines, reasoning agents, API-connected agents, human-in-the-loop systems, and business process automation. ✔ 𝐑𝐀𝐆 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐈 Retrieval-Augmented Generation (RAG) systems, document intelligence platforms, PDF chat applications, semantic search, embeddings, vector databases, internal knowledge assistants, enterprise search, and AI-powered knowledge management systems. ✔ 𝐎𝐩𝐞𝐧𝐀𝐈 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Custom GPT applications, AI copilots, conversational AI systems, OpenAI API integrations, Claude and Gemini integrations, prompt engineering, structured outputs, Responses API, Agents SDK, and production-grade LLM workflows. ✔ 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Scalable backend systems using Python, FastAPI, Django, PostgreSQL, Redis, Celery, REST APIs, WebSockets, Docker, AWS, Azure, and Supabase for AI SaaS products and startup MVPs. ✔ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 AI-powered workflow automation for customer support, lead qualification, CRM automation, document processing, reporting, internal productivity tools, and operational workflows. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 & 𝐀𝐈 𝐌𝐕𝐏 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 • AI-powered Commerce Intelligence SaaS Platform for ecommerce brands • AI-Powered Property Management Platform • AI Tax Assistant with document-aware responses • AI-powered Learning Management System (LMS) • Multi-Agent Decision Support Platform using LLM orchestration 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 OpenAI GPT • Claude • Gemini • LangChain • LlamaIndex • FastAPI • Django • Python • Pinecone • Weaviate • Qdrant • PostgreSQL • Redis • Docker • AWS • Azure • Supabase 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞 ✔ Startup-focused MVP development approach ✔ Production-ready backend architecture ✔ Strong AI and LLM engineering expertise ✔ Clean, scalable, and maintainable code ✔ Fast communication and reliable delivery ✔ Long-term technical partnership beyond MVP launch ⭐ 𝐂𝐥𝐢𝐞𝐧𝐭 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 *"Great work and pleasant collaboration! I highly recommend Jahanzeb."* If you're looking for a developer to build your SaaS MVP, AI MVP, AI agent platform, RAG application, or production-ready AI SaaS product, let's discuss how we can turn your idea into a scalable solution that delivers value from day one.

𝐏𝐲𝐭𝐡𝐨𝐧 • 𝐃𝐣𝐚𝐧𝐠𝐨 • 𝐅𝐥𝐚𝐬𝐤 • 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 • 𝐑𝐞𝐚𝐜𝐭.𝐉𝐒 • 𝐀𝐧𝐠𝐮𝐥𝐚𝐫.𝐉𝐒 • 𝐍𝐞𝐱𝐭.𝐉𝐒 • 𝐍𝐨𝐝𝐞.𝐣𝐬 • 𝐕𝐮𝐞.𝐉𝐒 • 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 • 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧𝐬 • 𝐒𝐞𝐜𝐮𝐫𝐞 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞:- I am a problem-solver at heart and a builder by trade, blending the worlds of AI, machine learning, and full-stack web development to craft next-gen digital experiences. With a foundation rooted in Python and a passion for scalable intelligence, I architect solutions that aren't just smart, they’re transformative. From building AI models that see, understand, and predict, to launching full-stack platforms that integrate those models in real-time, I thrive at the intersection of code, creativity, and cutting-edge tech. Whether you need a smart Chrome extension, an AI-powered SaaS platform, or a custom deep learning pipeline, I bring the tools, mindset, and execution to get it done. 𝐂𝐨𝐫𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐭𝐢𝐞𝐬 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Custom Model Development: Deep learning and ML using TensorFlow, PyTorch, Hugging Face Computer Vision: Real-time image & video processing, object detection, frame-rate optimization Smart Data Pipelines: Automated data collection, annotation, pre-processing, and feature extraction 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Frontend: React, Angular, Vue, Tailwind, Bootstrap, TypeScript, Redux Backend: Python, Django, FastAPI, Flask, Node.js, Laravel, Symfony Databases: PostgreSQL, MongoDB, MySQL API Integration: Secure RESTful APIs, real-time sync, token-based auth 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠:- Custom extensions (Manifest V2/V3) using JS or modern frameworks In-browser AI tools, automation, data scraping, UI enhancements 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Cloud: AWS, Heroku, Vercel, Netlify, Azure CI/CD: Docker, Jenkins, GitHub Actions, Nginx Version Control: Git, Bitbucket, SVN 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐖𝐢𝐧𝐬 Built computer vision AI that analyzed live video feeds across multiple industries Launched full-stack platforms with real-time AI inference on the front-end Developed automation systems that reduced manual work by 60% Engineered Chrome extensions with built-in AI — boosting productivity and scraping efficiency 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭 AI Meets UX: I bridge the gap between back-end intelligence and intuitive front-end design — bringing ML predictions to the browser in real-time. Builder’s Mentality: I don't just ship code. I craft solutions that are scalable, user-focused, and business-ready. Security-Driven: From encrypted user flows to secure APIs — data integrity is always top of mind. 𝐓𝐨𝐨𝐥𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐀𝐈/𝐌𝐋: TensorFlow, PyTorch, Hugging Face, Scikit-learn, OpenCV, Pandas, NumPy, OpenAI 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Nginx, Jenkins, Heroku 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐓𝐨𝐨𝐥𝐬: Asana, Trello, OpenProject, Jira 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬: Linux, macOS, Windows 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 I am always excited to collaborate on projects that push the boundaries of what AI and software can do, whether you're building a smart SaaS tool, automating workflows, or launching a product from scratch. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐟 𝐲𝐨𝐮’𝐫𝐞 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐨𝐧: AI-powered web applications Custom ML model development and deployment AI Chatbot, Agent and Trading Solution building Chrome extension development Data-driven dashboards and analytics Intelligent automation systems Together, we can turn innovative ideas into intelligent, high-impact products.

I'm Fady, an AI Engineer with a strong foundation in computer vision, Gen AI , LLMs andDeep Learning. With a proven track record on Upwork, I've successfully delivered over 30 projects, earning consistent 5.0-star ratings for my technical proficiency, clear communication, and innovative solutions. 🚀 What I Offer Generative AI Chatbots: Building intelligent, conversational agents using large language models (LLMs) to automate customer support, lead generation, and personalized user experiences. AI & Machine Learning: Designing and optimizing models for tasks such as object detection, classification, and predictive analytics. Computer Vision: Developing applications for sports analytics, OCR, and real-time image processing. Robotics & Control Systems: Engineering precise control mechanisms for robotic manipulators and automation systems. Technical Tutoring: Providing guidance in mathematics, physics, and Python programming to students and professionals. 🏆 Highlights from My Work History AI/ML Specialist for Model Training Project: Delivered high-quality models ahead of schedule, praised for expertise and reliability. Web Development: Successfully completed web projects with well-annotated code, ensuring maintainability. Machine Learning Tutoring: Assisted master's level students in understanding complex ML concepts, receiving positive feedback for clarity and support. Computer Vision in Sports Analysis: Developed applications for analyzing sports footage, enhancing performance insights. 🤝 Why Choose Me? I prioritize transparent communication and a collaborative approach to ensure that your project's goals are met with precision and innovation. My commitment is to deliver solutions that not only meet but exceed expectations, fostering long-term professional relationships. 📩 Let's Collaborate If you're seeking a dedicated professional to bring your AI, machine learning, or robotics project to life, feel free to reach out. I'm here to help turn your vision into reality.

I build computer vision, mobile AI, and LLM agent systems that run in production — not proof-of-concepts. $600K+ earned · 100% Job Success · Top Rated Plus · 50+ apps shipped · 10+ years.   🎥 Computer Vision & Video AI Real-time detection, tracking, and video pipelines built for live production. - Built real-time tracking for a US sports company — processing live camera feeds frame-accurate for automated broadcast. - Image registration & feature matching (homography, SIFT/ORB) for frame alignment and multi-frame processing. - Edge & on-device optimization: quantization, ONNX / TFLite / CoreML export, low-latency real-time inference. Stack: YOLO, OpenCV, C++ inference, homography, SIFT/ORB, FFmpeg, ONNX, CoreML, TensorFlow Lite.   📱 Mobile AI — iOS & Android Where mobile meets ML: I ship AI that runs on the device, not just calls to a server. - On-device inference with CoreML & TensorFlow Lite — quantized, optimized models running in real time, offline, no backend round-trip. - Real-time computer vision on phones — live camera detection & tracking running directly on iOS/Android hardware. - AI embedded in the core product flow — vision and ML features, not a bolted-on toggle. - 50+ apps shipped over 10+ years across healthcare, fintech, wellness, and sports. Swift, SwiftUI, Kotlin, Jetpack Compose, Flutter, React Native.  

🔹 Top Rated Machine Learning Engineer | Expert in Detection, Tracking, Classification & OCR I specialize in building high-accuracy computer vision models — from object detection and classification to keypoint detection and OCR. With deep experience in YOLO (v8–v11), TensorFlow, and PyTorch, I’ve delivered results across industries including healthcare, logistics, and agriculture. 🚀 Highlighted Projects: 🔍 License Plate Recognition & Number Swapping — for Korean and Kazakh vehicles 🏥 COVID-19 & Viral Pneumonia Detection — 95%+ accuracy using X-ray images 🍎 Fruit Detection (Apple, Peach, Potato) — precision object detection with YOLO 📄 OCR & Keypoint Detection — paper/card ID localization and tracking 🏎️ Speed Estimation & Vehicle Tracking — model fusion using YOLO + Deep SORT ⚙️ Core Skills & Tools: YOLOv5/v8 | TensorFlow | PyTorch | OpenCV | ONNX Object Detection, Classification, OCR, Keypoint Detection High-speed model training on RTX 4080 Super As a Top Rated freelancer, I deliver clean, efficient, and production-ready models on time and with clear communication. Let’s bring your vision to life. 📩 Message me — I respond quickly and build fast.

🏅 Top Rated AI/ML Expert on Upwork (Top 1%) 🏅 AI Product Engineer | LLM Applications | Generative AI | Agentic Workflows 🏅 10+ Years of Experience | Built Solutions for Startups, Enterprises & Global Clients 🏅 Experience Across Microsoft, Google, American Express & High-Growth Startups 🏅 Expert in Python, OpenAI, Claude, LangChain, LangGraph, AWS, SQL 🔹 LLM Applications & Generative AI Products I build end-to-end LLM-powered applications that solve real business problems—from idea to deployment. My work includes document intelligence systems, AI copilots, enterprise search, summarization engines, Q&A systems, and workflow automation platforms. Built solutions for: ✔ Due diligence copilot for investment workflows ✔ Legal AI research platforms ✔ Resume/CV parsing applications ✔ AI-powered document summarization systems ✔ Knowledge retrieval platforms using RAG 🔹 AI Agents & Workflow Automation I design intelligent AI agents that automate repetitive workflows and improve operational efficiency. Examples include: ✔ Multi-agent workflows ✔ AI automation using OpenAI, Claude, LangChain & LangFlow ✔ Process automation using n8n ✔ Document processing pipelines ✔ Internal business workflow automation 🔹 NLP & Custom Machine Learning Solutions Strong background in NLP and machine learning beyond LLMs, including: ✔ Named Entity Recognition ✔ Classification Models ✔ Clustering Models ✔ Recommendation Systems ✔ Text Processing Pipelines ✔ Custom ML model development 🔹 Predictive Analytics & Risk Modeling My foundation comes from years of building machine learning models for large enterprises including Google and American Express. Experience includes: ✔ Credit risk modeling ✔ Fraud analytics ✔ Customer segmentation ✔ Forecasting ✔ Marketing analytics ✔ Behavioral modeling 💼 Whether you're a startup building your first AI product or an enterprise looking to integrate Generative AI into existing workflows, I can help with: AI Strategy → Architecture → MVP Development → Deployment I combine deep analytical expertise with hands-on experience building real-world AI products that businesses actually use.

𝗪𝗶𝘁𝗵 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗰𝗹𝗲𝗮𝗻, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘄𝗲𝗯 𝗮𝗻𝗱 𝗺𝗼𝗯𝗶𝗹𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗴𝗿𝗼𝘄 ,𝗳𝗿𝗼𝗺 𝗲𝗮𝗿𝗹𝘆-𝘀𝘁𝗮𝗴𝗲 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝘁𝗼 𝗲𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀. You've spent months building a SaaS ,but without AI, you're already behind the apps launched last week. I integrate LLMs, RAG, and GPT into your web or mobile product in 1-week , turning it into something your competitors can't copy fast enough. If it doesn't perform as scoped, I rebuild it free. No risk. Just results. WHO THIS IS FOR If you're a founder, CTO, or product owner who wants to: → Add AI features (chatbots, smart search, auto-responses, predictions) to an existing SaaS → Build a new AI-powered web or mobile app from scratch → Integrate GPT-4, Claude, LLaMA, or any LLM into your product → Replace manual workflows with autonomous AI agents → Launch an AI SaaS product that users pay for , and never cancel Then you're in the right place. THE PROBLEM WITH MOST AI DEVELOPERS Most developers treat AI as a plugin. They connect an API, wrap it in a button, and call it "AI-powered." Your users aren't fooled. And your retention numbers show it. Real AI integration means: → Understanding your users' workflows deeply → Building LLM pipelines that are fast, accurate, and cost-efficient → Designing RAG systems so your app answers with YOUR data — not hallucinations → Shipping features that make users think: "How did I ever use this without AI?" That's what I build. WHAT I DELIVER ▸ AI-Powered SaaS Products Custom SaaS platforms with LLM features baked in from day one , smart dashboards, AI copilots, automated workflows, and GPT-powered user experiences that drive retention and reduce churn. ▸ LLM Integration into Existing Apps Already have a web or mobile app? I add intelligence to it , GPT-4, Claude, Mistral, or open-source LLMs wired into your existing codebase without breaking what already works. ▸ RAG Pipelines & Knowledge Bases I build Retrieval-Augmented Generation systems so your app answers questions using YOUR documents, databases, and data , not generic AI guesswork. Fast, accurate, hallucination-resistant. ▸ AI Chatbots & Autonomous Agents Custom ChatGPT-style assistants and AI agents that don't just answer , they act. Book appointments, generate reports, search databases, trigger workflows , all automatically. ▸ Voice AI & Multimodal Apps Multilingual voice interfaces, speech-to-text pipelines, and multimodal AI apps (text + image + voice) for global products and enterprise customer support systems. ▸ Full-Stack AI Web & Mobile Development End-to-end: from UI/UX design to backend architecture to cloud deployment. React, Next.js, FastAPI, Node.js ,whatever your stack, I build the full product, not just the AI layer. PROVEN RESULTS (Not Promises) → Fraud detection system: reduced client losses by 62% in 90 days → Demand forecasting model: cut e-commerce inventory costs by 30% → Anomaly detection in IoT sensors: prevented $2M+ in industrial downtime → Real-time surveillance AI: 99.5% accuracy for Fortune 500 security → Medical imaging AI: 95%+ sensitivity for skin cancer detection → 50+ AI products shipped across fintech, healthcare, e-commerce, and enterprise → Zero refunds. Zero failed productions. MY TECH STACK LLMs & AI: GPT-4, Claude, LLaMA-2, Mistral, Falcon, Cohere Frameworks: LangChain, LlamaIndex, HuggingFace, OpenCV, PyTorch, TensorFlow RAG & Vector DBs: Pinecone, FAISS, Weaviate, ElasticSearch, ChromaDB Full-Stack: React, Next.js, FastAPI, Node.js, Django, Flutter Cloud & MLOps: AWS SageMaker, GCP Vertex AI, Docker, Kubernetes, MLflow Data: Apache Kafka, Snowflake, BigQuery, Apache Spark, PostgreSQL THE OFFER (Why Hiring Me Is a No-Brainer) Here's what you get — and what you don't risk: ✔ Working prototype delivered in Week 1 — so you're testing results, not waiting on promises ✔ End-to-end ownership — I handle architecture, development, testing, and deployment ✔ Production-ready code — not "works on my machine" demos ✔ Free rebuild guarantee — if it doesn't meet the agreed scope after handoff, I fix it at no cost ✔ 50+ hours/week availability — full-time, flexible across time zones ✔ Plain-English communication — no jargon, no confusion, just clarity Your competitors are already integrating AI. Every week you wait is a week they pull further ahead. HOW WE START Simple. No long discovery calls. No complicated onboarding. Message me with what your app does (or what you want to build) I'll tell you in 24 hours exactly which AI features will have the biggest impact We scope it, agree on milestones, and I start Week 1 One conversation. That's all it takes to see how close you already are. LET'S TALK Message me now. I respond within minutes !. Najeeb ullah | AI Engineer | LLM & SaaS Developer | Top Rated | 50+ Products Shipped

I build AI systems that run in production and handle real data with real consequences. Currently Head of AI at a financial services firm, where I own the full technical stack for an AI-powered underwriting platform processing insurance policies end-to-end. Not prototypes. Not proof-of-concepts. Production systems that non-technical people depend on every day. 🎯 What I Do: I specialise in two things: 1. Document processing pipelines - extracting structured data from messy documents (scanned PDFs, hand-filled forms, emails, financial statements) with the accuracy needed for production use. 2. Agentic LLM workflows - multi-step prompt chaining systems where AI makes real decisions, validated by schemas, verified by dual-model checks, and observable through every step. The common thread: taking a manual process that takes days and turning it into an automated pipeline that takes minutes. 📊 Results That Matter: • 96%+ accuracy on structured financial data extraction (up from ~72% with a single-prompt approach) • 99.5% accuracy on explicit financial field predictions (discounts, surcharges, percentages) • 72% LLM cost reduction through model selection and knowing when NOT to fine-tune • 12M+ documents processed in a single pipeline run, 65% under budget • 52% faster mortgage approvals via dual-LLM payslip extraction pipeline • Fine-tuned Llama 3 8B: 43% accuracy improvement, 72% cost reduction vs. frontier models 🔧 How I Work: I default to the simplest implementation that works and iterate from there. I've seen too many teams over-engineer - jumping to fine-tuning when better prompting would get them 90% of the way, or building custom infrastructure when an API call would do. My approach to any document extraction or LLM pipeline challenge: • Start with the best available models (Gemini 3 Pro, Claude Sonnet, Llama) and strong prompting before considering fine-tuning • Pydantic schema enforcement on every output - if it doesn't validate, it doesn't pass • Dual-LLM verification for high-stakes financial data - two models cross-check each other • LangSmith observability on every pipeline run so nothing is a black box • Build a gold-standard test set early and regression-test every change against it I do daily written async updates and weekly Loom walkthrough videos for my clients. Multiple clients have said the Looms are the highlight of their week. ⭐ Client Testimonials: "Adam is an absolute powerhouse of an LLM Engineer. He has first class communication skills which make working with him an absolute pleasure." - Sammie Ellard-King, Founder, Gains App "Adam has a great balance of personality, professionalism and a deep knowledge of the AI space. He's a strategic thinker who considers the bigger picture." - Tom Story, PlannrAI "His loom updates were the highlight of my week! He's great at communicating complex AI concepts to non-technical people and keeps you in the loop every step of the way." - Chris Barnes, Co-Founder, Gains App "Adam is a genuine LLM powerhouse and a game changer. His mastery of Large Language Models is a rare blend of deep technical skill, strategic insight, and high-velocity execution." - Vinay Devaraja, AI Engineer 🛠 Technical Stack: • LLM Orchestration: LangChain, LangGraph, LangSmith • Models: Gemini 3 Pro/Flash, Claude (Sonnet, Opus, Haiku), Llama, DeepSeek, GPT-4o • Fine-Tuning: PEFT/LoRA, supervised fine-tuning, model evaluation and selection • Infrastructure: AWS (ML Specialty Certified), Docker • Core ML: Python, PyTorch, Pandas, NumPy, Scikit-Learn, XGBoost • Validation: Pydantic, structured output enforcement, dual-LLM verification 🤝 Currently Taking On: • Enterprise document processing automation (financial docs, insurance, legal, mortgage) • Multi-step agentic LLM workflows and prompt chaining pipelines • LLM cost optimisation and accuracy improvement on existing systems • Production pipeline architecture and technical leadership 5,000+ hours | $400K+ billed | 70+ projects | 5-star reviews

🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.