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I am an expert AI/ML Engineer with hands-on expertise in Machine learning, Deep Learning, Computer Vision, NLP, Generative AI, and LLMs. I leverage advanced techniques to deliver innovative and impactful AI solutions for your needs. Areas of expertise: ✅ Machine Learning (Data Analysis and Visualization, Classification, Regression models, Predicting with Supervised, Unsupervised Techniques) ✅ Deep Learning (Deep Neural Networks, Transfer Learning, fine-tuning models, XAI, optimization, exploring models) ✅ Computer Vision and Image Processing (Object detection/segmentation/tracking, Image/Video classification, Image generation, OCR) ✅ NLP (Text classification, Topic modeling, NER, Semantic similarity, Text generation, Question Answering) ✅ Generative AI (Fine-tuning LLMs, RAG, Prompt Engineering, embeddings, vector database, Chatbots and AI Assistants) ✅ Audio Data Analysis (Audio classification, Sound segmentation, TTS, STT) Tech Stack: ✅ ML/DL tools: TensorFlow, Keras, PyTorch, Scikit-Learn, XGBoost, LightGBM, CatBoost ✅ NLP: LangChain, OpenAI(GPT-4, Embeddings, ChatGPT), Local LLMs, Huggingface, Gemini, NLTK, Textblob ✅ Computer Vision: Ultralytics, OpenCV, Pillow, Scikit Image, YOLO, Detectron2, OpenPose ✅ Data Analysis/Visualization Tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Altair ✅ Cloud services: AWS, Google Cloud, Azure ✅ Project Management and Version Control: Git, GitHub ✅ MLOps: MLFlow, Docker, Github actions, Airflow, DVC ✅ Deployment: StreamLit, Flask, FastAPI ✅ Languages: Python My commitment to excellence and continuous learning ensures that I stay at the forefront of AI/ML advancements. Let’s connect to explore how I can contribute to your AI/ML projects and help you achieve your business goals with cutting-edge solutions.

As a Generative AI Engineer, I specialize in building LLM-powered applications, including agentic chatbots using LangGraph and CrewAI. My expertise spans natural language processing (NLP), deep learning, and scalable AI architectures, enabling me to create intelligent and efficient AI solutions. I have led multiple AI projects where I integrated LLMs for medical report analysis and chatbot automation. I also developed autonomous AI agents and RAG-based chatbots to improve workflow automation and response accuracy. I’m passionate about pushing AI boundaries, ensuring my solutions are highly efficient, scalable, and production-ready. Let’s build the future of AI together! 🚀

I have successfully delivered over 100 Machine Learning projects on Upwork over the past six years, covering end-to-end workflows including model training, fine-tuning, inference, and deployment (MLOps). In addition, I have developed and integrated backend and frontend frameworks using FastAPI and ReactJS to enable efficient and seamless model deployment. Machine learning and other expertise - - Python - HuggingFace/transformers, YOLOv8 - Keras, PyTorch, TensorFlow - OpenCV - FastAPI, Docker, ReactJS Types of projects I have completed in recent years - #1. Computer Vision - - OCR with Textract, Tesseract, DocTR - Real-time person detection and recognition - Image segmentation - Image depth measurements #2. Natural Language Processing/Understanding/Generation - Chat engine with HuggingFace, GPT, LangChain, OpenAI, ChromaDB - Virtual Personal Assistant Whisper, LLaMA, Tacotron - Customer Support with Whisper, GPT4, GoogleTTS, Twilio - Tweet Generator - Recommendation Systems #3. Reinforcement Learning - - Fine-tune GPT-2 for review generation with TRL - Toy game player/agent with DQN #4. Artificial Intelligence Algorithm - - Genetic Algorithm - DPLL #5. Regression Models - - Sales Prediction - Stock Price Prediction

💡Machine Learning Engineer with Expertise in Computer Vision, Deep Learning, Natural Language Processing, Generative AI, AWS cloud services and more!💡 Greetings, I bring over four years of expertise in machine learning and AI, specializing in cutting-edge ML, Deep Learning, and Computer Vision domains. My proficiency spans diverse AI areas, including Computer Vision, Deep Learning, Natural Language Processing, Reinforcement Learning, Generative AI, and LLM. I've strategically applied AI in medicine, academics, sports, and industry, streamlining processes such as data annotation, model training, and deployment. Let's collaborate to elevate your projects with innovative AI solutions. 🌟 Key Services: - Data Cleaning & Preprocessing - Data Scraping & Annotation - Deep Learning Model Training & Optimization - Custom Data and Model Building, Training & Integration - Actionable Recommendations & Insights - Language Vision Models(LLaVa,etc) - GPT-3/4-based agent workflows - Prompt Engineering - API Endpoint Development & Integration 💡 Projects: - Tennis serve Detection - Object Counting and direction detection - Face Mask Detection - Plant Disease Detection - Smart attendance using Face Recognition - Artificial Face emotion generation - Image Tag Detection - Bengali Handwritten Grapheme Classification - Leaf Disease Classification - kidney functional tissue units (FTUs) detection - Hungry Geese agent training 🚀 Expertise: - ML Frameworks: PyTorch, Tensorflow, PyTorchLightning - API Frameworks: FastAPI, Flask - Computer Vision (CNN, Yolo, Yolo-nas, Faster/Fast-RCNNs, ResNet, MobileNet, DeepSort, Semantic & Instance Segmentation, BotSort, Bytetracker, Vision Transformer, etc.) - GANs, Audio Classification, Recommendation & Forecasting Models, Text-to-Speech, Speech-to-Text, Supervised and Unsupervied ML, Reinforcement Learning - BERT, Transformers, GPT-3/4, ChatGPT, Langchain - CLIP, DALL-E, Stable Diffusion, Image-to-Text, Text-to-Image, StyleGAN, CycleGAN - AWS Services (Textract, Rekognition, etc.) - NLP, Time Series Analysis, Machine Learning Algorithm Integration - Amazon SageMaker, Textract, Transcribe, Translate, Rekognition, Comprehend - AWS S3, AWS Lambda, EC2 machine, SNS, SQS, CodeBuild, VPC - GCP compute Engine, GCP VPC - PostgreSQL database, AWS dynamodb, MySQL 🛠 Technical Skills: - Languages: Python, C++, Reactjs - Libraries: OpenCV, Numpy, Scikit-Learn, Matplotlib, SciPy, Pandas, Spacy, NLTK, XGBoost - Version Control: GIT, Github, Bitbucket - Analysis: Statistics, Calculus, Classification/Clustering, Machine Learning, Deep Learning - Methodologies: Scrum, Kanban, TDD - CI/CD: Github Action, Jenkins, Kubernetes - Other: Linux, Strong Problem Solving Background Thank you for considering my profile. I'm passionate about the endless possibilities of machine learning to solve real-world challenges. If you're ready to bring your AI ideas to life, let's connect. I'm eager to discuss your project and how my expertise can contribute to your success. Don't hesitate to reach out—I'm here to help you innovate and make your vision a reality🚀.

🚀 Generative AI & LLM Engineer | LangChain | RAG | LangGraph | AI Agents Hi! I’m Shaon, an experienced AI Engineer with 4+ years of hands-on expertise in building intelligent, scalable systems using Large Language Models (LLMs), Agentic Workflows, and Retrieval-Augmented Generation (RAG). 🔧 I specialize in: • End-to-end LLM development & fine-tuning (RLHF, LoRA, PEFT, GRPO, DPO) • Building AI Agents with LangChain, LangGraph, MCP, CrewAI, DSPy • Advanced RAG using ChromaDB, Pinecone, Postgres, Vector Databases • LLM deployment via FastAPI + Docker + AWS (EC2, Lambda, SageMaker) • OCR, Content Moderation, Data Mining, API Automation 🧠 I’ve built production-ready multi-agent Co-Pilot systems, AI-powered chatbots (increased user engagement by 20%), and deployed enterprise-grade solutions in cloud-native environments. 💼 Previous clients love my ability to "translate business needs into technical AI solutions", and I’m known for my reliable communication, scalability planning, and rapid problem-solving. Let’s build something AI-powered and impactful — send me a message to discuss your project!