I build real-time computer vision systems for robotics, manufacturing, and industrial automation fully deployed on NVIDIA Jetson (Orin NX, AGX, Nano) using YOLO, DeepStream, and GStreamer. These aren’t just prototypes. They’re edge-native, low-latency AI pipelines that run reliably in the real world detecting, classifying, and responding in milliseconds with zero cloud dependency. Whether you need high-throughput object detection, real-time hardware control, or multi-camera CV streaming, I deliver full-stack embedded solutions designed for performance, durability, and deployment at scale. 🏗️ What I Build 🔹 YOLO detection pipelines on Jetson (Orin NX, AGX) 🔹 DeepStream + TensorRT inference pipelines 🔹 Modbus/PLC integration for sorting & inspection 🔹 GStreamer-based multi-camera streaming systems 🔹 Jetson performance tuning (batching, memory, latency) 🔹 Qt/FFmpeg interfaces for human-in-the-loop interaction 🛠️ Tech Stack Breakdown Detection & Inference: YOLO · OpenCV · DeepStream · TensorRT Devices: Jetson Orin NX · AGX Orin · Jetson Nano Control Systems: Modbus RTU · GPIO · UART · PLCs Streaming & UI: GStreamer · FFmpeg · Qt · VLC Model Training: PyTorch · Custom/self-supervised classifiers Backend & Interface: Python · C++ · SQLite · MQTT · Flask/FastAPI ✅ What You Get Sub-100ms real-time inference performance Industrial-grade integration (Modbus, GPIO, PLC) Modular, scalable pipelines with documentation Edge-native AI systems engineered for long-term uptime 📬 Let’s Build Your Edge Intelligence If you’re building an AI-powered inspection tool, robotics system, or embedded computer vision product I’ll help you ship it with confidence and optimize it for the field. 📩 Reach out and let’s turn your camera feed into real-world action.

I build production-grade AI agents, RAG systems, and computer vision pipelines that ship on real infrastructure — not just demos. IEEE-published AI engineer (DAELocNet, AIIT 2025), Top Rated with 100% Job Success Score. If you need an LLM app that actually works in production — grounded answers, no hallucinations, controlled cost and latency — or a computer vision model running reliably at scale, I take it from idea to deployed system. What I build for clients: AI Agents & Multi-Agent Systems — autonomous, tool-using agents with LangChain, LangGraph, OpenAI & Groq RAG & LLM Apps — retrieval-augmented chatbots with FAISS vector databases, reranking, and hallucination-resistant answers Fine-Tuning & NLP Pipelines — domain-adapted LLMs, text classification, and AI-generated text detection Computer Vision — real-time object detection & tracking with YOLOv8, CLIP, and OpenCV Fintech & Predictive ML — XGBoost fraud detection, repayment prediction (AUC 0.9852), time-series forecasting Rapid AI MVPs — Streamlit dashboards and end-to-end prototypes that get to value fast Recent wins: Built a Binoculars-style LLM text detection system (Qwen2.5) for an AI content verification client Deployed a fintech repayment prediction model achieving AUC 0.9852 with XGBoost + SageMaker Autopilot Built a multi-agent finance automation system using LangChain + Streamlit Real-time object tracking system processing 30 FPS Reduced prediction errors by 40% for an e-commerce client Why clients trust me: BS in Artificial Intelligence (Air University, Islamabad) IEEE-published researcher — DAELocNet presented at AIIT 2025, Riyadh Top Rated on Upwork with 100% Job Success Score End-to-end ownership: data → model → deployment → clean handoff with documentation Core stack: Python · LangChain · LangGraph · OpenAI · Groq · RAG · FAISS · Vector Databases · Hugging Face · Fine-Tuning (LoRA/QLoRA) · YOLOv8 · CLIP · OpenCV · XGBoost · Time-Series Forecasting · Streamlit · FastAPI · PyTorch · Multi-Agent Systems · AI Integration Building an AI agent, RAG system, LLM app, or computer vision pipeline? Send me your brief — I'll outline the best technical approach and a clear path to production.

𝗔𝗜 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 & 𝗙𝗨𝗟𝗟-𝗦𝗧𝗔𝗖𝗞 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗘𝗥 ✅ 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 ✅ 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 ✅ 𝟏𝟏+ 𝘆𝗲𝗮𝗿𝘀 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞 I build AI systems that replace real manual work inside real businesses, not prototypes that need babysitting. I've shipped voice agents, decision automation, outreach systems, and full products across healthcare, fintech, legal tech, and enterprise, working directly with founders from the first idea to paying users. 𝐀𝐈 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 ---------------------------------------------------------------------------------------------------------- -Agentic AI Applications: tool-calling agents, memory-augmented agents, autonomous task execution -Multi-Agent Workflows: CrewAI, AutoGen, LangGraph -RAG: LangChain, LlamaIndex, Pinecone, Qdrant, ChromaDB, FAISS -LLMs: GPT-4o, Claude 3.5/4, Gemini, Amazon Bedrock, Ollama -MCP (Model Context Protocol) -Generative AI / GenAI Applications -Semantic Search & Knowledge Bases -AI Chatbots, Copilots & Custom Assistants -Prompt Engineering (multi-turn, few-shot, zero-shot, RAG-based) -LLM Fine-tuning: LoRA, QLoRA, Hugging Face 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 -------------------------------------------------------------------------------------------------------------- -n8n, Make, Zapier, Trigger -AI Workflow & Business Process Automation -CRM Automation, AI SDR Systems, Lead Qualification -Customer Support Automation -API Integrations & Webhooks 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 ------------------------------------------------------------------------------------------------------------- -Vapi -Retell AI -ElevenLabs -Twilio 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ------------------------------------------------------------------------------------------------------------- -Frontend: React, NextJS, TypeScript, Tailwind CSS, React Native -Backend: Python, FastAPI, NodeJS, NestJS, DotNet, REST APIs, GraphQL -Databases: PostgreSQL, MongoDB, Redis, Supabase -Cloud & DevOps: Azure OpenAI, Azure AI Foundry, AWS, Docker, CI/CD Pipelines, Vercel -AI Dev Tools: Cursor, Copilot, AI SDK 𝐖𝐡𝐚𝐭 𝐈 𝐓𝐲𝐩𝐢𝐜𝐚𝐥𝐥𝐲 𝐁𝐮𝐢𝐥𝐝 -AI SaaS Platforms -AI Agents & Multi-Agent Systems -RAG Applications & Knowledge Bases -Voice AI Solutions (Vapi, Retell AI) -Workflow & Business Process Automation -Enterprise Dashboards & Internal Tools -CRM Integrations & AI SDR Systems -Full-Stack Web & Mobile Applications -Backend APIs & Microservices 𝐇𝐎𝐖 𝐖𝐄 𝐖𝐎𝐑𝐊 𝐓𝐎𝐆𝐄𝐓𝐇𝐄𝐑 ~Fixed-Scope Projects: Best when the deliverable is clear. I send a proposal with timeline, milestones, and ROI before we start. ~Hourly Contracts: Best for ongoing builds and iteration. Weekly check-ins, transparent time tracking. ~Long-Term Retainers: Best when you need a dedicated AI engineer embedded with your team. 40+ hrs/week available. 𝐇𝐎𝐖 𝐖𝐄 𝐆𝐄𝐓 𝐒𝐓𝐀𝐑𝐓𝐄𝐃 _Send a message with what you're trying to fix or build. _Free 20-minute scoping call to align on goals and constraints. _I propose the right engagement model: fixed, hourly, or retainer. _We build, ship, and document; you own everything. Keywords LangChain · LlamaIndex · LangGraph · RAG · Vector DB · Pinecone · Qdrant · ChromaDB · GPT-4o · Claude API · Gemini · Bedrock · Ollama · GenAI · LLM Applications · CrewAI · AutoGen · Multi-Agent · Agentic Workflows · MCP · n8n · Make · Zapier · Vapi · Retell AI · ElevenLabs · FastAPI · NextJS · NestJS · Supabase · Docker · CI/CD · Vercel · AI SaaS · AI Automation · Full-Stack Development

Across 12 years of software development and 9 years specializing in machine learning, I have built systems ranging from conversational chatbots to computer vision based grading tools, working with clients across different industries and problem types. What stays consistent across all of it is the same goal, moving past a model that performs well in isolation to one that performs well once it is actually in production. I have completed 104 jobs on Upwork, earned $200K plus, and maintained a 100% Job Success score with Top Rated status. Clients have used my work to ship products up to 3x faster while cutting $10K a month in engineering costs, using AI assisted development on top of solid computer science and machine learning fundamentals. I also hold a Master's degree in Machine Learning, and I currently lead a 45 engineer team building production AI and ML systems. What I actually build: Conversational AI and LLM systems. Chatbots and multi turn assistants built on RAG pipelines and vector search, with real guardrails so the model does not make things up when it does not know the answer. Computer vision pipelines. Detection, classification, and grading systems trained on real world data, not clean benchmark datasets. Natural language processing. Text classification, sentiment analysis, entity extraction, and low resource language OCR, including work on Urdu, where off the shelf tools mostly do not exist. Production ML infrastructure. Models packaged, monitored, and deployed with Docker, Kubernetes, and cloud infrastructure on AWS, Google Cloud, or Azure, including edge deployment where latency or hardware is constrained. Some of what my team has shipped: ✦ Avatare, a conversational AI platform handling multi turn dialogue in production ✦ Compugrade, an AI assisted autograding system for K12 education built on computer vision ✦ AffectCX, a live conversational chatbot supporting pharma sales teams ✦ A multimodal conversational AI platform combining RAG based retrieval with generation ✦ A computer vision grading pipeline for physical collectibles, handling classification and defect detection ✦ Urdu OCR, a low resource language OCR system built where almost no existing tooling was available Technical stack: Python, PyTorch, TensorFlow, Keras, JAX/Flax, OpenCV, Docker, Kubernetes, AWS, Google Cloud, Azure, ONNX, TFLite, CoreML AI and ML methods I work with: Large language models including GPT4, Claude, and Llama 2. Retrieval Augmented Generation and vector databases. Traditional ML including random forests, SVM, and KNN. Deep learning including CNNs, RNNs, GANs, transformers, and BERT. MLOps including CI/CD, model monitoring, and versioning. If you are dealing with a model that only works some of the time, a system that needs to move from prototype to something production ready, or a computer vision or NLP problem that off the shelf tools have not solved, message me. I typically reply within 2 hours and can prioritize urgent projects. I will tell you honestly whether AI is the right tool for the job before I agree to build anything.

Delivered $𝟏.𝟏𝐌+ ROI and 𝟐𝐱 higher efficiency for 10+ startups by building and integrating 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭, 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐯𝐢𝐬𝐢𝐨𝐧 & 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 systems that actually work Partnered with teams across 4 continents 1️⃣ Why Business Founders Need Me as Their AI Partner • Most AI projects fail because they’re overengineered or disconnected from real business goals • With 4+ years building production grade AI systems, I focus on one thing: making AI actually work for your operations and ROI • I bridge the gap between strategy and implementation, helping founders deploy AI that’s reliable, scalable and delivers clear, trackable value 2️⃣ How I Drive Results I follow a proven system that blends business understanding with deep technical execution: • Problem → Solution Mapping: Turn business needs into measurable AI outcomes • Lean AI Build: Train & integrate Agents, Vision, OCR or NLP models that fit your stack • Automation Integration: Connect tools via LangChain, CrewAI, n8n, APIs • Continuous Optimization: Retrain & scale what works for long term ROI 3️⃣ Proven Track Record 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐞𝐫𝐚 𝐈𝐬𝐭𝐡𝐦𝐮𝐬 𝐂𝐚𝐩𝐢𝐭𝐚𝐥 (𝐏𝐚𝐧𝐚𝐦𝐚) : AI Agent based AI automation 𝐅𝐫𝐨𝐳𝐞𝐧 𝐁𝐫𝐨𝐭𝐡𝐞𝐫𝐬 (𝐔𝐊) : Embedded Computer vision AI system  𝐀𝐏𝐈 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐬 𝐋𝐭𝐝 (𝐍𝐙) : Computer vision integrated with AI Agent 𝐌𝐞𝐭𝐢𝐜𝐮𝐥𝐨𝐮𝐬 𝐁𝐨𝐨𝐤𝐬 (𝐂𝐚𝐧𝐚𝐝𝐚) : OCR AI + AI automation  𝐍𝐞𝐰 𝐏𝐨𝐰𝐞𝐫 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 (𝐔𝐒𝐀) : Computer vision AI solution  𝐋𝐚𝐢𝐰𝐚 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 (𝐔𝐊) : Embedded + AI integration  𝐆𝐚𝐬𝐬𝐩𝐞𝐬𝐢𝐚𝐥𝐢𝐬𝐭𝐞𝐧 𝐀𝐒 (𝐍𝐨𝐫𝐰𝐚𝐲) : Computer Vision AI Robot 💬 “Krutik is a creative problem solver and critical thinker who helped me navigate my computer vision project and contributed positively at every turn.” : Alex 💬 “The quality of Krutik’s work speaks for itself. Give him a chance and he’ll prove it!” : Marius 📈 Results include: • $1.1M+ ROI unlocked across clients • 40% average efficiency gain via AI automation • Deployed AI solutions across Finance, Manufacturing, Marketing, Sales and SaaS 4️⃣ What I Offer • AI System Development : Production ready Agents, CV, ML models • AI Automation : Document & workflow automation • Custom AI Agents : CrewAI, LangChain, AutoGen • Integration : OpenAI, n8n, Python • AI Strategy Consulting : Clear, ROI driven AI roadmaps 📩 Ready to turn your AI goals into real systems? Message me to explore how we can boost efficiency & ROI 💡 Bonus: Try my Free AI ROI Calculator (5 min, no signup) → Link in Portfolio 📅 Available for 2 new projects (August 2026) Keywords: · Artificial Intelligence · AI Agent · CrewAI · LangChain · AutoGen · Machine Learning · Computer Vision · YOLO · OpenCV · n8n · RAG · Python · OpenAI · Chatgpt · OCR · AI Automation · AI Chatbot · AI Development · AI Agent Development · AI App Development · AI Automation · AI Engineer · AI Developer · AI Consultant

EXPERT-VETTED (TOP 1%) | 100% JOB SUCCESS Most AI projects look finished in a demo, then break in production. I build production-grade software. That means it holds up with real users : Scales under real traffic, not just a demo Secure and tested, not "looks fine, ship it" Clean architecture your next hire can build on Costs you can predict before you commit 25 years building software. Now my team and I direct AI agents across the full build and review every line before it ships. Fast, but not vibe coding. I AM A FIT IF YOU Have an idea but no technical leadership to run the build Have a vibe-coded app generating MRR but need a stable foundation under it Started building but need architecture and senior oversight to finish Want to use AI without losing control of your codebase REAL RESULTS A traditional build was quoted at $1.2M. My team and I delivered it for $95K, same scope. Replaced a client's manual spreadsheet process with a web app. Revenue up 71%. Architecture that held through 500% traffic growth 79M pricing calculations a month, in production WHAT WORKING WITH ME LOOKS LIKE Full team: I bring engineers, a product owner, a designer, and QA. I lead the architecture. AI executes. Nothing ships without senior review. Advisory: I come in as your technical advisor. Same judgment, scoped to what you need. Either way, there's a senior engineer on it from the first call to the final release. RECENT PROJECTS Automotive SaaS: A real-time pricing platform running 79M price combinations a month 24/7. AI Knowledge Platform: A voice-first knowledge platform that works offline at sea. Captures what senior crews know and makes it searchable for the next crew. Live broadcast with AI: A multi-agent engine that writes and narrates stories live, adapting to the audience in real time. TECH STACK AI/ML: LLMs, RAG, vector search, multi-agent orchestration Backend: Python, Node.js, TypeScript Frontend: React, React Native, Unity Cloud: AWS, Docker, Kubernetes Data: SQL, NoSQL, vector DBs BEFORE YOU COMMIT TO ANYTHING Book 30 minutes with me directly. Honest feedback on feasibility, realistic cost, and fit. No pitch. No commitment. NDA first.

→ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 → 𝐏𝐡𝐃 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 → 𝟏𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 → 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐭𝐨 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐂𝐕𝐏𝐑, 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐖𝐀𝐂𝐕, 𝐓𝐏𝐀𝐌𝐈, 𝐈𝐉𝐂𝐕 & 𝐈𝐂𝐑𝐀 I am a Senior AI/ML and US-trained Computer Vision Engineer with over 15 years of hands-on experience building, training, and deploying production-ready AI solutions. I specialize in Computer Vision, Deep Learning, Machine Learning, Medical Imaging, Healthcare AI, and Image Processing, delivering scalable and real-time AI systems using Python, modern deep learning frameworks, and optimized deployment pipelines for real-world applications. I hold a PhD in Computer Vision and have worked across industry and research on AI projects involving object detection, image segmentation, video analytics, OCR, medical imaging, surveillance systems, healthcare diagnostics, and intelligent automation. My focus is on end-to-end AI development, from data preprocessing and model training to deployment, API integration, and production-ready, scalable AI systems. I have also published numerous peer-reviewed research articles in leading computer vision and AI venues including 𝗖𝗩𝗣𝗥, 𝗠𝗜𝗔, 𝗠𝗜𝗖𝗖𝗔𝗜, 𝗪𝗔𝗖𝗩, 𝗜𝗘𝗘𝗘 𝗧𝗣𝗔𝗠𝗜, 𝗜𝗝𝗖𝗩, and 𝗜𝗖𝗥𝗔, ensuring that the solutions I deliver are research-validated and industry-ready. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Computer Vision, Machine Learning & Deep Learning • YOLO-based Object Detection & Tracking • Real-time Video Analytics & Inference Systems • Medical Imaging AI (CT, MRI, X-ray, Ultrasound) • Healthcare AI & Radiology Diagnostics • OCR, Document AI & Intelligent Data Extraction • AI Automation & Workflow Systems • Drone Analytics, Surveillance & Action Recognition • Image Segmentation, Classification & Feature Extraction • Edge AI & Optimized Model Deployment • Scalable AI Systems & Production ML Pipelines • AI Agents & Intelligent Systems 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: • YOLO (YOLOv5 – YOLOv10) • Mask R-CNN, U-Net, DeepLabV3, EfficientNet • Custom CNN, GAN, Multi-Modal and Transformer-based vision models • Classical and deep image processing for Computer Vision and Medical Imaging pipelines 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python, MATLAB, C++ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: PyTorch, TensorFlow, Keras 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: OpenCV, SimpleITK, ITK, Image Processing Pipelines 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, Pandas, NumPy 𝗢𝗖𝗥: Tesseract, PaddleOCR, EasyOCR 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Flask, FastAPI, Docker, REST APIs, Model Serving 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Inference Optimization, Model Testing, Scalable AI Pipelines 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • Principal Machine Learning Engineer in multi-vehicle tracking & real-time Computer Vision systems • Senior Computer Vision Scientist in surveillance, traffic monitoring, healthcare AI & medical imaging solutions • Contributor to projects funded by IARPA, Facebook, Google, HEC, NIJ, Xerox (USA) & US DTS My work in medical imaging AI has been recognized through Google and Facebook Research Awards, while contributions to sports video analytics, CCTV analytics, and healthcare AI have been acknowledged by HEC and top-tier venues such as CVPR. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 • Strong academia & industry expertise in AI, ML, Computer Vision & Healthcare AI • Experience in medical image processing, blood cancer detection & tumor segmentation • Clean, efficient, and production-ready code • Proven deployment experience in real-world and healthcare systems • Clear communication, dependable delivery, and scalable AI solutions 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 • Design custom ML models aligned with business and clinical goals • Deliver accurate, scalable, and reliable AI solutions • Simplify Computer Vision, Medical Imaging, and healthcare workflows • Support deployment and production integration 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗼𝗿 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 to build, optimize, and deploy custom AI solutions, I’m available to discuss your requirements and deliver reliable results.

Senior Data Scientist & AI/ML Engineer with 8.5+ years of experience specializing in Generative AI, Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision. I transform complex business challenges into scalable, intelligent solutions that drive measurable results. With a Bachelor's in Computer Science and Master's in progress, I combine strong theoretical foundations with hands-on expertise in building production-ready AI systems that deliver real business value. My comprehensive skill set encompasses the entire ML pipeline and full-stack development: Python for advanced ML/AI implementation, deep learning frameworks (TensorFlow, PyTorch), NLP libraries, computer vision tools, and web technologies (React, Flask, Django, JavaScript, HTML5, CSS3) for deploying user-friendly applications. I architect robust data solutions using MongoDB, PostgreSQL, MySQL, and SQL, ensuring scalability and performance. My track record includes developing enterprise AI models that improved efficiency by 40%+, implementing NLP systems for automated text analysis, and building computer vision solutions with 95%+ accuracy. What distinguishes me is my ability to bridge the gap between cutting-edge AI research and practical business applications. I approach each project with a results-driven mindset, ensuring timely delivery within budget constraints while maintaining exceptional quality. Whether you need custom ML models, GenAI applications, intelligent data pipelines, or end-to-end AI solutions, I provide clear communication throughout the development process and work collaboratively to exceed your expectations. Let's discuss how my expertise in Data Science, Machine Learning, and AI can accelerate your business growth and competitive advantage.RetryClaude can make mistakes. Please double-check responses.

I am a highly skilled AI/ML Engineer specializing in building intelligent, production-grade AI systems. My expertise spans Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Deep Learning, Computer Vision, and AI Agent Development. I am proficient in Python and work extensively with frameworks such as LangChain, LangGraph, TensorFlow, PyTorch, and Hugging Face Transformers to design, fine-tune, and deploy complex models. I have hands-on experience building autonomous AI agents and LLM-powered applications, including a stateful conversational assistant (LangGraph, OpenAI API) for a food delivery and wellness app with personalized recommendations, nutrition tracking, and image-based food recognition, and an autonomous media-buying agent powered by the Anthropic Claude API that integrates with the Meta Marketing API for automated budget optimization with human-in-the-loop approval, real-time SSE streaming, and voice command processing (Deepgram). In fraud detection and anomaly analysis, I've built and maintained a large-scale claims intelligence platform (~7.8M+ records) combining deterministic business rules, behavioral clustering, and an ensemble ML pipeline (Isolation Forest, One-Class SVM, LOF) with SHAP explainability, backed by FastAPI, SQL Server, and SQLAlchemy. My Computer Vision experience includes fine-tuning YOLOv8 for object detection on satellite imagery (parking space detection) using tiling-based training for improved accuracy, along with building Streamlit demos for interactive model evaluation. I also have experience with Retrieval-Augmented Generation (RAG) for document analysis (legal document summarization and Q&A using LangChain and vector databases like Pinecone/FAISS), text classification and AI-generated content detection using fine-tuned Transformer models (RoBERTa, DeBERTa) combined with statistical NLP methods, and building customer support automation systems using Dify, BERT, and Elasticsearch-based RAG pipelines. I work closely with data to drive impactful, measurable results, and I'm proficient in API integrations, cloud deployment (AWS, Azure), Docker-based infrastructure, and observability/evaluation tooling (Langfuse, Weights & Biases) to ensure AI systems are reliable, explainable, and production-ready. My goal is to deliver innovative, high-performance AI solutions — from LLM agents to fraud detection systems and computer vision pipelines — that solve real-world problems and drive measurable business value.

Hello! I'm Kazi Sohan, an analytical and skilled software engineer with over five years of professional experience. I hold a Master's degree in Information Technology from Jahangirnagar University. My career is marked by positions that have leveraged my C++, Python, and Java expertise to develop advanced AI, machine learning, and automated trading systems. My ability to innovate and deliver effective solutions has been proven through my contributions to complex projects, enhancing system performance and end-user experience. Skills: ⚫ Programming Languages: Proficient in C++, Python, Java ⚫ Expert in Algorithms and Data Structures ⚫ Specializations: Desktop Applications, Microservices, AI, Machine Learning, Computer Vision, Image Processing ⚫ Tools and Platforms: MT5, MT4, Redis, Kafka, WebSocket, REST APIs, Keras, Tensorflow, Pytorch, Numpy, Pandas ⚫ Problem Solving: Strong analytical skills with a proven track record in competitive programming ⚫ and algorithm optimization ⚫ Project Management: Experienced in leading development phases, ensuring timely delivery Professional Experience: Anyconnect: Spearheaded the development and enhancement of computer vision features, integrating AI capabilities into consumer-grade camera products, improving product performance and customer satisfaction. Next Ventures: Led the backend development for integration solutions between financial trading platforms and TradingView software, significantly enhancing data throughput and system responsiveness. Achievements: We are consistently ranked in the top tiers of national and international programming contests. Recognized for advanced problem-solving skills across various coding platforms, including Codeforces, CodeChef, and HackerRank. Publications: ⚫ Innovative methods in 3D reconstruction from 2D images using machine learning. ⚫ Improved product review classification through advanced algorithms. ⚫ Efficient real-time image classification with neural networks.