𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐢𝐧𝐠 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈: 𝐅𝐫𝐨𝐦 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐭𝐨 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬 With 7+ years of experience, I bridge the gap between "standard AI" and "Autonomous Execution." I don't just build chatbots; I build 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 that handle complex business logic, reduce token costs, and execute real-world tasks. I specialize in integrating the latest open-source breakthroughs like 𝐎𝐩𝐞𝐧𝐂𝐥𝐚𝐰 (𝐟𝐨𝐫𝐦𝐞𝐫𝐥𝐲 𝐂𝐥𝐚𝐰𝐝𝐛𝐨𝐭) into traditional Enterprise AI stacks involving 𝐑𝐀𝐆, 𝐍𝐋𝐏, 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 & 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 1. 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬: Specialists in OpenClaw and Clawdbot for building "AI Employees" that can navigate file systems, manage browsers, and interact with messaging apps (WhatsApp/Telegram). 2. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐑𝐀𝐆 & 𝐃𝐚𝐭𝐚: Implementation of GraphRAG and Agentic RAG to solve the "hallucination" problem in complex technical, legal, and medical documents. 3. 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Designing "Digital Assembly Lines" using CrewAI, LangGraph, and AutoGen, where specialized agents collaborate to finish 10-step workflows. 4. 𝐒𝐦𝐚𝐥𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐒𝐋𝐌𝐬): Optimizing high-volume tasks using Phi-3, Llama 3 (8B), and Mistral to cut API costs by up to 60%. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 - 𝐀𝐠𝐞𝐧𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: OpenClaw (Clawdbot), LangGraph, CrewAI, AutoGen. - 𝐂𝐨𝐫𝐞 𝐀𝐈/𝐌𝐋: RAG Pipelines, NLP, LLM Fine-Tuning, Prompt Engineering. - 𝐋𝐋𝐌𝐬: GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3, DeepSeek. - 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬: Pinecone, Milvus, Weaviate, Qdrant, Chroma. - 𝐎𝐩𝐬 & 𝐄𝐯𝐚𝐥: LangSmith, Arize Phoenix, Weights & Biases, Docker. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐇𝐢𝐠𝐡-𝐈𝐦𝐩𝐚𝐜𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐎𝐩𝐞𝐧𝐂𝐥𝐚𝐰 𝐒𝐚𝐥𝐞𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐨𝐫: An autonomous agent that researches leads via web browsing and sends personalized outreach via Signal. 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐆𝐫𝐚𝐩𝐡𝐑𝐀𝐆: A knowledge-retrieval system for 5,000+ technical manuals with 98% accuracy. 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐁𝐨𝐭: A system where one agent triages, one researches the knowledge base, and one drafts the reply. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐦𝐨𝐯𝐞 𝐛𝐞𝐲𝐨𝐧𝐝 𝐛𝐚𝐬𝐢𝐜 𝐩𝐫𝐨𝐦𝐩𝐭𝐬? Let’s discuss how we can implement an 𝐎𝐩𝐞𝐧𝐂𝐥𝐚𝐰 strategy or a robust 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 to automate your specific business challenges.

Looking for an AI Automation Architect or Full Stack AI Engineer to build your Agentic AI workflow, RAG pipeline, AI Chatbot, or multi-agent automation system? You're in the right place. I help technical founders and enterprise teams transition AI from experimental ideas into highly reliable, event-driven operational systems. I build production-ready AI products using Python, FastAPI, Next.js, OpenAI API, Anthropic Claude, LangChain, LangGraph, n8n, and Make. com. Unlike generalist developers who just wrap basic API calls, I architect complete AI solutions, from robust backend integrations and custom vector databases to fully autonomous AI agents that actually scale and save operational costs. → WHAT I HAVE BUILT Instead of just experimenting with AI, I ship production systems that enterprises rely on. ✔ LegalTech AI Automation (Symplii.ai) Engineered the AI backend automating intake workflows with real-time transcription, entity extraction, and Retrieval-Augmented Generation (RAG) using FastAPI, LangChain, GPT-4o, and Pinecone to drastically reduce processing times. ✔ AI Generative Engine (iCod.ai) Architected an autonomous generative AI engine that builds and edits complete, deployment-ready websites entirely via conversational natural language prompts. ✔ AI Influencer Discovery (iShout.ae) Built an AI-powered discovery engine utilizing dense embeddings and MongoDB vector search, integrated with a high-performance Next.js and FastAPI stack. ✔ Enterprise AI Computer Vision (Chex.ai) Deployed an enterprise-grade AI platform automating vehicle inspections, significantly accelerating driver onboarding for major clients like Uber and Zoom. → SERVICES 🔹 AI Agent Development & Agentic Workflows - Autonomous systems capable of reasoning, planning, and executing multi-step tasks. AI Agents Multi-Agent Systems LangChain & LangGraph CrewAI & AutoGen LLM Prompt Engineering 🔹 RAG Systems & Knowledge Bases - Grounding LLMs securely in your proprietary business data to eliminate hallucinations. Retrieval-Augmented Generation Vector Databases Pinecone & FAISS Semantic Search Document Processing 🔹 AI Automation & Orchestration - Replacing manual work with intelligent, API-driven pipelines. n8n Make. com Zapier API Integration Custom Webhooks 🔹 Full-Stack AI Architecture - Secure, scalable backend infrastructure for your AI products. Python & FastAPI Node.js & Next.js Cloud Deployment (AWS) System Architecture ⚙️ TECHNOLOGIES AI & LLMs - OpenAI API (GPT-4o) • Anthropic Claude 3.5 Sonnet • LLM Prompt Engineering Frameworks - LangChain • LangGraph • CrewAI • AutoGen Backend - Python • FastAPI • Django • Node.js Frontend - React • Next.js • TypeScript Data & Automation - Pinecone • FAISS • MongoDB • PostgreSQL • n8n • Make. com • Zapier → WHY CLIENTS CHOOSE ME I focus on real-world business results, not just cool AI demos. That means prioritizing system architecture, ensuring zero hallucinations in your RAG pipelines, choosing the right LLMs for cost-efficiency, and delivering secure, automated workflows that actually reduce your team's workload. 🔗 If you are building an AI Agent, RAG System, or AI Automation Platform, I would be happy to discuss your architecture. 👉 My Specializations AI Automation Architect Full Stack AI Engineer Agentic AI Developer AI Agent Developer RAG Developer LLM Application Developer AI Automation Developer Generative AI Engineer Python AI Developer OpenAI API Developer Claude Expert n8n Automation Expert FastAPI Developer LangChain Developer

AI Engineer (7 YoE) System, Workflows, AI scenario, AI agent for CEOs & Teams Hire me if you need to reduce your 12h / day work to 8h without sacrificing work quality. Expert-Vetted Talent - Top 1 % talent in Upwork. — I’m an AI/ML Engineer with 6+ years of experience building intelligent systems, data workflows, and real-world automation for clients across fintech, edtech, and field operations. My specialty is Human-Empowered AI, creating AI agents and tools that assist & support people, Here’s what I can build for you: 🧾 AI agents (invoice QA, product FAQ bots, booking co-pilots) 🧠 NLP tools & Finetuning LLM (summarizers, sentiment analysis, smart filtering) 📊 Forecasting models (sales, churn, user behavior) 🔁 Automation pipelines (PDF/CSV → clean DB → dashboard) 🕸️ Scrapers (e-commerce, social media, marketplaces) 💬 Custom GPT tools (internal tools, data co-pilots, assistants) 🧹 Auto data cleaning, parsing, and ingestion tools 📦 Deployable apps using Streamlit, FastAPI, Docker, and GCP 🕷️WHAT I CAN DO FOR YOU: 🔸 Data Analysis, Cleaning, Sourcing, and Structuring 🔸 Machine Learning & Deep Learning Solutions 🔸 Build Custom AI Agents (booking, sales, summarization, internal ops) 🔸 Generative AI – Text & Image (ChatGPT, OpenAI, custom GPTs) 🔸 Web-Based Automation Tools (internal portals, co-pilots, task runners) 🔸 Advanced Web Scraping with Selenium / Scrapy / Bs4 (e.g. marketplaces, social media, internal dashboards) 🔸 Deploy ML & NLP apps using FastAPI, Streamlit, Docker, Heroku, or GCP 🔸 Natural Language Processing (sentiment analysis, topic modeling, chat summarization) 🔸 Custom dashboards, notifications, or email-based data triggers 🔸 Technical coaching / tutoring (I'm also a teacher!) 🟢YOU NEED ME IF: 🔸 Your data is complex, messy, or spread across multiple sources 🔸 You want an AI agent to speed up a task, but keep a human in control 🔸 You’ve tried scraping before and others failed 🔸 You need a backend system that combines scraping + AI + database + automation 🔸 You want an expert who explains things clearly and delivers results fast 🟢WORKING WITH ME ✔️ Honest feedback and suggestions ✔️ Clear deliverables and open communication ✔️ Time transparency via Upwork Time Tracker ✔️ Optional PDF manual or demo video for non-technical users ✔️ Fluency in English (written & verbal) ✔️ I respect your time — we’ll define goals, timeline, and scope before starting 🕷️DATA TECH STACK Python, SQL, Scikit-Learn, TensorFlow, Keras, GPT, OpenAI, MLFlow, PowerBI, Tableau, Streamlit, Statmodels, Plotly, CI/CD, Docker, Heroku, Git 🕷️WEB SCRAPING STACK Python, Scrapy, Selenium, BeautifulSoup, Proxy Rotation, API integration I'm also a Data Science Instructor at Le Wagon for Business (a global bootcamp), so I’ve seen hundreds of real-world projects and know how to explain code to non-technical clients too. 📞 Free Zoom consult before you hire, risk-free. Let’s chat about your idea, I’ll assess it, share a project roadmap, and if you’re happy, we can move forward.

As a Top Rated Plus freelancer on Upwork, I've successfully delivered large-scale data science, engineering and embedded systems projects with 100% client satisfaction I’m a Microsoft Certified Data Scientist and Electrical Engineer with 8+ years of R&D experience in Machine Learning, Data Analytics, and PCB/IoT Design, helping startups and engineering firms build smarter, data-driven products. What I Deliver AI & Data Science Solutions - Machine Learning & Deep Learning model development (NLP, Time Series, Computer Vision, GANs) - End-to-end ML pipelines: data preprocessing → model deployment → API integration - Predictive analytics & dashboards for finance, manufacturing, and IoT systems - Bots for trading (stocks, crypto) with real-time data analysis PCB & IoT System Design - High-efficiency PCB layouts (DC/DC converters, motor drivers, wearable devices, IoT boards) - Firmware development and embedded systems integration - Wireless communication (BLE, LoRa, Wi-Fi) and sensor-based design Technical Writing & Research - Research papers, whitepapers, and technical documentation - AI, data science, and engineering articles written with clarity and authority Why Clients Hire Me - Microsoft Certified and backed by an Electrical Engineering degree - Cross-domain expertise, combining AI, data analytics, and embedded systems - Proven track record in delivering optimized, production-ready ML and engineering solutions - 100% commitment to quality, communication, and on-time delivery, or your money back If you’re building a data-driven product, predictive system, or smart IoT solution, I can help you take it from idea to implementation, efficiently, accurately, and intelligently. Let’s discuss how I can help you bring your next project to life.

🏅 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.

I am a Top-Rated AI Engineer specializing in Deep Learning, Computer Vision, and Generative AI with over 7 years of experience and 100+ successfully delivered projects globally. I don't just train models; I engineer end-to-end AI systems that perform flawlessly, scale seamlessly, and maintain ultra-low latency in high-traffic production environments moving your code out of Jupyter Notebooks and into enterprise-grade realities. 🛠️ Core Expertise: •Computer Vision: High-speed object detection/tracking (YOLO v8/v10/v11), multi-camera tracking, face recognition, human pose estimation, and industrial anomaly detection. • Generative AI & NLP: Production deployment of GPT-4/LLMs, custom LangChain workflows, conversational agents, and semantic search. • AI Engineering & MLOps: Model optimization (Quantization/Pruning) for edge devices (NVIDIA Jetson, TFLite, TensorRT) and scalable cloud deployment (Docker, Kubernetes, AWS, GCP). • Document Intelligence: Advanced OCR, License Plate Recognition (LPR), and structured data extraction pipelines. 💻 Technical Ecosystem: Frameworks: PyTorch, TensorFlow, OpenCV, LangChain Deployment/Edge: ONNX, TensorRT, Docker, NVIDIA Jetson, TFLite Cloud & DevOps: AWS (SageMaker/Lambda), GCP, Azure, CI/CD for ML Languages: Python (Expert), C++, SQL 🧪 Proven Production Impact: 🏥 MedTech AI: Built a medical imaging pipeline utilizing deep CNNs/Transformers for real-time diagnostics across 50+ clinical endpoints. 📦 Smart Logistics: Engineered an end-to-end multi-camera tracking system processing 100K+ assets daily with 99.4% accuracy. 🔥 Fire Detection AI: Built a sub-second latency safety monitoring system optimized for low-compute edge hardware. 🚗 Smart City OCR: Developed an automated vehicle tracking system capable of processing high-speed traffic streams. 📊 Predictive Analytics: Fused deep learning perception with business logic, reducing reporting overhead by 90%. 🌟 Why Partner With Me? Production-First: I prioritize stability, cost-efficiency, and low latency over "lab-only" metrics. MVP to Scale: I partner with startups to build rapid, robust Proof of Concepts (POCs) and scale them smoothly. Elite Reliability: 100+ projects delivered on time with clean, maintainable, and well-documented code. ✔️ Open to signing NDAs for confidential enterprise or startup projects. ✔️ Additional codebase demos and architecture details available upon request. Let’s turn your vision into a scalable reality. ✨ Click the "Message" button, and let’s discuss how we can put world-class AI to work for your business. 📩

7+ years building production computer-vision, OCR, edge-AI, and AI backend systems where accuracy, latency, and reliability matter. Typical work includes defect detection, live video/object tracking, on-device model optimization, document/OCR pipelines, OpenAI/RAG integrations, and launch rescue for AI products that need evaluation, observability, and clean API architecture. My strongest fit is a project with real data, a broken or uncertain pipeline, and measurable acceptance targets: accuracy, false positives, latency, edge-device constraints, cost, security, or launch readiness. Core work: - Computer vision / OCR: detection, segmentation, tracking, image analysis, OCR extraction, validation, reviewer workflows - Edge AI: ONNX/TensorRT conversion, model optimization, quantization-aware deployment, mobile/on-device inference - AI backend: OpenAI API, RAG, VLMs, source traces, confidence checks, FastAPI, PostgreSQL - Production delivery: tests, logging, monitoring, cloud deployment, handoff docs I am a good fit when AI output must be accurate, fast enough for production, reviewable, logged, and reliable enough for real business use.

Data Scientist, AI & Machine Learning Engineer | Algorithmic Trading Expert I am Ahmed Montasser, a seasoned AI engineer and quantitative researcher with over a decade of experience in algorithmic trading across traditional and crypto markets. With a master's degree in AI applied to trading, I specialise in designing and deploying high-frequency and systematic trading strategies. My expertise lies in leveraging machine learning, reinforcement learning, and quantitative finance to create innovative, data-driven trading solutions. Key Highlights: - Developed technical and fundamental trading strategies - Developed technical/fundamental trading strategies and AI-driven alpha-factor models and optimized risk-adjusted portfolios for diverse asset classes, including equities, cryptocurrencies, and Forex. - Expert in Python, Pinescript, and C++, with a strong focus on building ultra-low-latency execution pipelines and scalable data systems. - Architected comprehensive trading infrastructures with CI/CD, performance benchmarks, and robust risk controls. - Led a top-performing ML and quantitative trading team at a leading quant fund, known for clear communication and cross-functional collaboration. - Top-rated Plus freelancer on Upwork with over 40 successful projects, consistently delivering high-performance trading solutions. My passion is transforming complex trading concepts into live, high-performance systems that drive consistent, data-backed results. Let's connect to explore how I can contribute to your project's success.

Is your AI system slow, unreliable, or breaking in production? You've likely built something that works in demos but fails at scale. I've spent 10+ years solving exactly this, first at Microsoft, then at Cambridge, and now for clients who need AI systems that actually work. I am an AI Engineer specializing in LLM integration, RAG pipelines, and multi-agent systems. Demonstrated expertise through key projects like developing a dynamic AI agent using LangChain for LLMs, building an AI platform querying multiple engines, and formal verification systems for AI reasoning. Proficient in Python, NLP, Machine Learning, and ML Security, ML Models, applying these skills to create robust, scalable AI solutions and clean backends for production-grade deployments. I am a PhD in Computer Science from the University of Cambridge and a former Microsoft engineer with 10+ years of experience building high-performance, secure, and reliable systems. 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗯𝗲𝘀𝘁: • High-performance C++ systems (compilers, runtime) • AI systems (LLMs, RAG, agentic workflows) designed for real-world deployment • ML performance optimization (Triton, CUDA, PyTorch, TVM) 3x–5x speedups • Formal verification & program analysis (model checking, SMT) • Secure and trustworthy AI systems (LLM reasoning, validation, safety) • Blockchain & smart contract analysis (Ethereum, storage-level reasoning) 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝗲: ① Cambridge PhD (Computer Science) + 10 years at Microsoft (security & systems) ② 5 US patents in security and cryptography ③ 100% Job Success Score on Upwork, every project delivered ④ Production-grade AI systems, not just prototypes that demo well ⑤ Deep expertise across correctness, performance, and system design 𝗥𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: • Built an LLM agent over SQL with millions of records, delivered • Designed a formal verification pipeline for LLM reasoning using SMT solving, shipped in under a week • Optimized ML inference pipelines achieving 3x–5x throughput improvements • Built a RAG-based blockchain analysis system for smart contract vulnerability detection 𝗜𝗱𝗲𝗮𝗹 𝗰𝗹𝗶𝗲𝗻𝘁𝘀: • AI startups hitting scaling or reliability limits in production • Teams struggling with LLM output correctness or consistency • Web3 companies needing secure, formally verifiable systems • Engineers building serious backend or AI infrastructure If your system isn't performing the way you need it to, message me and let's fix it.

Most Machine Vision projects fail between the prototype and production. I've shipped 54+ that didn't. ⚙️YOLO Detection | Pose Estimation | Object Tracking | AI Agents | LLM Integration Sports & Fitness AI | CCTV & Surveillance AI | Retail AI | Healthcare AI You have a working concept... or a clear problem involving cameras, video, or image data. The challenge is making it fast, accurate, and stable under real-world conditions. Wrong framework choices. Inference too slow for live video. Models that break the moment lighting, angle, or environment changes. And systems that detect things but can't reason about them or act on them autonomously. That's exactly where most builds stall. I design and build real-time computer vision pipelines that go all the way... from model training to live deployment... and increasingly, from visual perception to autonomous AI agents that understand, decide, and narrate. LLM APIs (OpenAI, GPT-4o, Gemini, Claude) | AWS (EC2, S3, Lambda) | Azure Cloud Services | MLOps & API Integration | Model Deployment & Scaling While most CV engineers stop at training the model, I go further: → High-speed inference optimization using TensorRT, ONNX, OpenVINO, FP16/INT8 (up to 5× faster) → LLM agents integrated with vision pipelines for alerts, reasoning, and automation → Mobile AI deployment using Core ML (iOS) and TFLite (Android) with 10+ shipped apps → Edge AI deployment on Jetson, OpenVINO, CUDA, and embedded systems → End-to-end pipelines: data → training → optimization → real-time deployment Key Accomplishments: ⭐ $5M+ revenue from AI solutions ⭐ 100+ computer vision systems delivered ⭐ Built and launched 2 SaaS products ⭐ Real-time sports AI (7+ sports, 15+ teams) ⭐ 10+ mobile AI apps (iOS Core ML, Android TFLite) ⭐ Production AI for surveillance, industrial & safety use cases ⭐ Medical imaging AI deployed in 5+ hospitals ⭐ Up to 5× faster inference (ONNX, TensorRT, FP16/INT8) ⭐ Large-scale tracking & re-ID (1M+ labeled data) ⭐ Agentic AI systems for autonomous decision-making If you have read this far, please note that I appreciate you taking the time to learn about me. Personally, it’s been an amazing journey and knowledge exercise to get to this level of competence in AI and software development. Domain Expertise: ✅ athlete tracking | shot detection | scoring | drill analysis | pose estimation ✅ defect inspection | PPE compliance | staff monitoring | meter reading | quality control ✅ ANPR | crowd monitoring | people counting | intrusion detection | perimeter security ✅ tumor detection | ultrasound | X-ray/CT analysis | lesion segmentation | medical imaging ✅ aerial monitoring | traffic flow | license plate recognition | vehicle & accident detection ✅ customer analytics | receipt extraction | shelf monitoring | inventory tracking Tech Stack: YOLOv5–YOLOv8–YOLOv11, Detectron2, MMDetection, DeepSORT, StrongSORT, MediaPipe, OpenPose, Pose Estimation, Action Recognition, Segmentation (semantic & instance), OCR, anomaly detection, object tracking, PyTorch, TensorFlow, TFLite, Core ML, OpenCV, FastAPI, Flask, ONNX, TensorRT, OpenVINO, CUDA, AWS, Azure, GCP, edge AI, mobile AI, real-time inference, video analytics, AI automation, LLM integration (GPT-4o, Claude, Gemini, Groq), LangChain, LangGraph, CrewAI, RAG systems. 💬 If your project involves cameras, video, or images... and you need it fast, accurate, fully deployed, and intelligent enough to reason and act autonomously... I am the engineer you are looking for.