Built AI trading infrastructure and automation for quant desks and trading platforms, from production data pipelines to multi-agent LLM systems. Built and now maintain a live pipeline processing 5TB+ (800B+ rows) of options trading data on BigQuery for a quant research client, delivered AI solutions for clients collectively saving 90+ hours weekly by automating knowledge work. CORE EXPERTISE: • Quantitative Data Infrastructure: petabyte-scale pipelines on BigQuery/Postgres for options • and market data, built for daily research use, not one-off scripts • Agentic AI Systems: multi-agent architectures (LangGraph), LLM-powered automation with guardrails • Production ML: supervised, unsupervised, and reinforcement learning models for real-world applications • Knowledge Grounding: RAG pipelines with vector databases and graph architectures for enhanced accuracy PAST PROJECTS: ✅ End-to-End Analytics Platform - Engineered a petabyte-scale data pipeline managing 5TB+ (800B+ rows) of options trading data on BigQuery for daily quantitative research ✅ AI Project Manager Agent - Built a multi-agent system for automated planning and coordination, reducing onboarding time for hospital facilitation from 8 to 1 hour ✅ Built a RAG retrieval pipeline (OpenAI embeddings + Pinecone + LangChain) that took a legal team's document search from hours to seconds TECHNICAL STACK: • Python (5+ years production experience) • LangChain ecosystem (LangGraph, LangSmith, LangFuse) • BigQuery, PostgreSQL, Pinecone • FastAPI, Docker, AWS/GCP • MCP servers, Guardrails, RAG, and LLM memory systems • AI-assisted development (Cursor, Claude Code) Certified: HackerRank SQL (Advanced), Mode SQL (Advanced), Google Data Analytics Professional Let's connect and explore how AI infrastructure can transform your trading operations.

I build machine learning, computer vision, and data science systems that are meant to be tested, improved, and used. Most of my work is in computer vision, deep learning, medical imaging, image classification, object detection, segmentation, model evaluation, and applied ML workflows. On Upwork, I have completed projects in machine vision, X-ray model development, padel analytics, sign language translation, facial image classification, and health data analysis, with 100% Job Success and 5-star client feedback. I can help with: - Computer vision models for detection, segmentation, classification, OCR, and visual inspection - Deep learning with PyTorch, TensorFlow, YOLO, CNNs, Transformers, and OpenCV - Medical imaging and healthcare ML prototypes - Sports and video analytics pipelines - Data cleaning, EDA, feature engineering, model training, and evaluation - Model debugging, threshold tuning, error analysis, and performance reporting - FastAPI, Streamlit, and dashboard apps for ML workflows - AI automation and LLM workflows when they support a real technical system I care about the parts that usually decide whether an ML project succeeds: clean datasets, reproducible experiments, useful evaluation, readable reports, and applications that are easy to test. If you need help with a computer vision, deep learning, or applied ML project, send me the details. I will tell you what approach makes sense, what can be built, and what risks to watch before development starts.

🏆 🔝𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 on UPWORK😊 👋 Hi, I'm Aman. I help businesses automate repetitive work, reduce manual effort, and build scalable AI-powered systems using Python, AI Agents, OpenAI, Claude, n8n, OCR, and workflow automation. With 5,700+ hours of professional experience, I have built AI assistants, automation workflows, document processing systems, data extraction pipelines, API integrations, and custom business automation solutions for startups, agencies, and enterprise clients. 🏆 Top Rated Freelancer ✅ 100% Job Success ✅ Production-Ready Solutions ✅ Fast Communication ✅ Long-Term Support 💡 What I Can Help You With 🤖 AI Agents & Autonomous Workflows ⚡ n8n Automation 🧠 OpenAI, Claude & Gemini Integrations 📄 OCR & Document Processing Systems 🔍 Web Scraping & Data Extraction 📊 Lead Generation Automation 📚 RAG (Retrieval Augmented Generation) 💬 AI Chatbots & Virtual Assistants 🔗 API Development & Integrations 🐍 Python Automation Scripts 📈 Data Processing Pipelines ☁️ Cloud-Based AI Solutions 🛠 Technologies I Work With Python n8n OpenAI Claude Gemini LangChain CrewAI AutoGen Pinecone ChromaDB FAISS PostgreSQL Supabase Docker FastAPI Flask Selenium Playwright BeautifulSoup OCR Tesseract AWS 💼 Recent Project Experience ✔ AI Agents with memory and tool calling ✔ OCR systems for invoices, receipts, and documents ✔ Large-scale data extraction and scraping pipelines ✔ OpenAI and Claude-powered business assistants ✔ Workflow automation using n8n and custom APIs ✔ RAG applications connected to private business knowledge bases ✔ AI-powered document analysis systems My focus is simple: Build reliable AI systems that save time, automate operations, and deliver measurable business results. 📩 Let's build something valuable together.

I specialize in custom model training and LoRA fine-tuning for computer vision and generative imaging — and in deploying those models so they run cheaply at high volume, not just in a notebook. Flagship work — automotive imaging pipeline: A vehicle segmentation and generative background replacement system producing studio-grade output in production: 95% background fidelity with correct perspective and proximity matching Original foreground object preserved pixel-for-pixel at full source resolution Custom "glassify" handling that retains true glass properties — reflections, transparency, and tint — instead of flattening windows into opaque shapes Under one cent per image, sustained at scale through cost-reduced architecture and intelligent autoscaling Core capabilities: Custom training — LoRA fine-tuning on Flux and diffusion models, correction LoRAs with DiffSynth, masked-diffusion loss tuning Advanced segmentation — training and deploying BiRefNet, SAM, and DINO-based models for high-precision edge and material separation Deployment & scale — AWS and RunPod infrastructure built to absorb high request volumes, with queue-based batching, autoscaling, and GPU utilization tuning that keeps per-image cost flat as throughput grows LLM & agentic systems — multi-agent architectures, agentic RAG, and custom MCP servers Also delivered: a live virtual try-on feature for a clothing e-commerce site, and an AI product-listing system for eBay and Etsy. BS in Computer Science from LUMS, 5 years of production experience, team leadership background. I scope honestly and tell you when an approach won't work before you pay for it. Send me your use case and I'll tell you exactly how I'd approach it. AI/ML Engineer | Custom Model & LoRA Training, Image and Video Segmentation Expert | LoRA Training & Generative Image Pipelines | Photoreal Background Replacement | AWS Deployment

→ 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.

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.

Video Surveillance, CCTV, Computer Vision, OpenCV, AI – I build CCTV, object detection, and real-time video systems that scale. 14,700+ hours and $600K+ earned on Upwork. 100% JSS, Top Rated Plus. 15 years of senior engineering + Spec-First Agentic Engineering. ⚡ 𝗙𝗿𝗲𝗲 𝗣𝗥𝗗. 𝗠𝗩𝗣 𝗶𝗻 𝟳-𝟭𝟰 𝗱𝗮𝘆𝘀. 𝗙𝗿𝗲𝗲 𝗰𝗼𝗱𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗿 𝗮 𝟮-𝘄𝗲𝗲𝗸 𝘁𝗿𝗶𝗮𝗹 𝗼𝗻 𝗮𝗻 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲. ⚠️ Press the Invite button on my page and let's talk about your project. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 → VALT - enterprise CCTV and video surveillance SaaS. 770 organizations, 50K+ users, 2,500 IP cameras. Grew from a $1M launch year to $9M ARR. Motion detection, HIPAA/GDPR storage, 12-year partnership. → MindBox - smart video surveillance with AI analytics. Anomaly detection, facial recognition, and forensic search across 50+ deployments with live camera-map feeds. → Tennis analytics - a computer-vision pipeline that tracks players and the ball from match video for automated stats. → ALDA - generative AI course builder. Co-designed with 70+ U.S. educators; partner schools serve 500,000+ students. +20% educator efficiency. → BrainCert - world's first WebRTC + HTML5 LMS. $3M revenue, 100K+ customers, 500M+ classroom minutes. 𝗜 𝗔𝗺 𝗠𝗼𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗜𝗻 → Video Surveillance and CCTV - custom CCTV SaaS with secure storage, IP-camera ingestion, motion detection, and forensic search → Computer Vision and Object Detection - OpenCV, YOLO, TensorFlow, PyTorch for anomaly detection, face recognition, background blur, and incident alerts → AI Full-Stack Apps - OCR, real-time translation, autonomous agents, and object recognition on top of video → Video Streaming and Players - RTMP, HLS, WebRTC, sub-second latency, custom players on AWS → E-Learning, EdTech, and Virtual Classrooms - LMS and course authoring, curriculum and instructional design, live WebRTC and Agora classrooms, interactive whiteboards, AI grading and assessments, generative-AI courses, SCORM/LMS integrations 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗦𝗽𝗲𝗰-𝗙𝗶𝗿𝘀𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 I work spec-first, not vibe-first. I write the technical spec and architecture before any code is generated. Then I drive AI agents (developer, tester, analyst) against strict guardrails to produce production-grade code. The hard parts I handle or verify myself: real-time computer vision, OpenCV detection pipelines, and high-load video backends. You get the speed of AI with the stability of a senior engineer. 𝗛𝗼𝘄 𝗪𝗲 𝗦𝘁𝗮𝗿𝘁 30-min discovery → spec-first plan with architecture and a ±10% estimate → AI dev environment with guardrails → MVP with CI/CD and a 2-week demo cadence. 𝗛𝗼𝘄 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 → MVP from scratch - the fastest safe path to production with Spec-First Agentic Engineering → Team extension - I join as the lead on hard modules: computer vision, AI, video surveillance, WebRTC → Rescue mission - I fix, modernize, and stabilize existing codebases, including vibe-code cleanup 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗜 𝗨𝘀𝗲 𝗗𝗮𝗶𝗹𝘆 → Computer Vision and AI: OpenCV, YOLOv8, TensorFlow, PyTorch, Keras, Image Recognition, OpenAI API, Whisper, Deepgram, NLP → Video: WebRTC, Agora, FFmpeg, Wowza, Kurento, HLS/DASH, RTMP/RTSP → Backend: Node.js, NestJS, Express, Python (FastAPI), PHP/Laravel, C++ → Frontend: React, Vue, Angular, TypeScript → Infra: AWS, GCP, Docker, Kubernetes, PostgreSQL, MongoDB, Redis → Security: AES-256, HIPAA, GDPR, SOC II → EdTech: LMS/SCORM, virtual classrooms, interactive whiteboards, course authoring, quizzes and assessments, AI grading 𝗪𝗵𝘆 𝗙𝗼𝗿𝗮 𝗦𝗼𝗳𝘁 100% Upwork JSS · 914 jobs · $10M+ earned · 401K+ hours · 625+ projects since 2005 · 400+ clients across 17+ countries · Top WebRTC Developer 2022 and Top Telecom Developer 2024 · 1 of 400 devs passes our internal selection · estimates within ±10% of actuals. 𝗖𝗹𝗶𝗲𝗻𝘁 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 "We've been working together for 10 years and continue. Fora Soft planned and built our entire Wowza-based video surveillance SaaS from scratch across web, iOS and Android." - Dustin, CTO @ VALT (50,000 users, 770 orgs, 2,500 IP cameras) ⚠️ Press the Invite button or message me – I'll send back an SRS, an estimate, and the fastest safe path to production.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠𝐬! 𝐈 𝐚𝐦 𝐌𝐨𝐡𝐢𝐭, 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, LangGraph, Semantic Kernel, OpenAI Swarm, OpenAI Assistants API, MCP, Vapi, Retell AI, Bland AI, Synthflow, LiveKit, Pipecat, Amazon Polly, Deepgram, ElevenLabs, Whisper, Rasa AI 🔹 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠: PEFT, LoRA, QLoRA, RLHF, DPO, ORPO, SFT, TRL with Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker 🔹 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Qwen, DeepSeek, Phi-3, Falcon, Gemma 🔹 𝐂𝐥𝐨𝐬𝐞𝐝 𝐋𝐋𝐌𝐬: GPT-4o, o1, o3, Claude, Gemini, Amazon Bedrock, Cohere 🔹 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, Groq 🔹 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-turn, Few-shot, Zero-shot, Chain-of-Thought, ReAct, RAG-based prompts 🔹 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, bitsandbytes 🔹 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: LangChain, LlamaIndex, Haystack, GraphRAG, ChromaDB, FAISS, Pinecone, Qdrant, Weaviate, Milvus, pgvector 🔹 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier AI, Flowise, LangFlow, StackAI 🔹 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, DALL·E, Flux, Midjourney, ControlNet, GPT-4 Vision 🔹 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Synthetic dataset generation, LLM evaluation frameworks, Ragas, DeepEval 🔹 𝐋𝐋𝐌𝐎𝐩𝐬 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: LangSmith, Langfuse, TruLens, Weights & Biases 🔹 𝐌𝐋 & 𝐍𝐋𝐏: PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, sentence-transformers 🔹 𝐋𝐋𝐌 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK, BentoML, Modal, Replicate 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in 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. 🔹 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. 🛠️ 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 build production-ready AI systems across computer vision, NLP, and generative AI — from research to deployed, monitored applications. Published in Nature Scientific Reports on data-centric NLP and explainable AI. What I deliver: - Computer Vision: Object detection, segmentation, pose estimation, depth-based metric measurement, real-time monitoring pipelines - Generative AI & NLP: RAG-based agents, LLM fine-tuning (PEFT/LoRA), conversational systems - Forecasting & Analytics: Time series forecasting, data pipelines, interactive dashboards - End-to-end ML: Training, optimization, and deployment via APIs, Docker, and cloud platforms Tech stack: Python, PyTorch, TensorFlow, YOLO, OpenCV, HuggingFace, LangChain, FastAPI, Docker, AWS Let's build something that works in production, not just in notebooks.

As an AI ML Engineer with expertise in Python, LLMs, NLP, RAG, and AI Chatbots, I specialize in developing cutting-edge AI systems that drive innovation and efficiency. My hands-on experience spans the entire AI lifecycle from model development and fine-tuning to deploying intelligent solutions at scale. I excel in building real-time, AI-powered applications that seamlessly integrate into modern tech stacks, creating robust solutions for businesses. Whether designing AI agents, implementing retrieval-augmented generation (RAG), or enhancing conversational experiences, I deliver high-performance, cloud-deployed systems tailored to your needs. 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: ✔ GPT Fine-Tuning, RAG Systems, and Prompt Engineering ✔ Transformers, CNNs, LSTMs, RNNs ✔ NLP Tasks – Classification, Summarization, Q&A Bots ✔ AI Deployment with FastAPI, Flask, TensorFlow, PyTorch ✔ OpenAI, Hugging Face, LangChain Integrations 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗔𝗴𝗲𝗻𝘁𝘀: ✔ Custom GPT Chatbots (CSV, PDF, SQL, JSON-aware) ✔ AI Voice Assistants & Call Automation (TTS/STT with ElevenLabs) ✔ Multi-Agent Frameworks – CrewAI, LangChain Agents ✔ AI for Sales, Healthcare, CRM & Customer Support 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: ✔ Business Workflow Automation (Scheduling, Emails, CRM) ✔ AI Recommendations, Document Analysis & Data Extraction ✔ Real-time Analytics Dashboards 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: ✔ Frontend: React.js, Next.js, TypeScript, Tailwind CSS ✔ Backend: Django, FastAPI, Node.js, Express.js ✔ RESTful & GraphQL APIs, WebSockets 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: ✔ PostgreSQL, MySQL, MongoDB, Supabase ✔ Stripe, OpenAI API, Firebase, Payment Gateways 𝗖𝗹𝗼𝘂𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗗𝗲𝘃𝗢𝗽𝘀: ✔ Docker, AWS (EC2, S3, Lambda), Vercel, Heroku ✔ CI/CD Pipelines for seamless deployment ❇️ INDUSTRIES SERVED: ✔ FinTech, E-commerce, Healthcare, EdTech, CRM Tools ✔ AI Assistants, Chatbots, Business Intelligence, Real-Time Analytics 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? 🤝 End-to-End Expertise – From AI training to frontend integration 🚀 Scalable, Production-Grade Solutions 🔁 Agile & Transparent Workflow 🧠 Deep Technical Knowledge + Strategic Execution Looking to build the next-gen AI SaaS app, LLM chatbot, or automation agent? Let’s collaborate and bring your vision to life. I’m available Monday to Friday – feel free to reach out to schedule a quick chat or Zoom call!