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Md-Emon-Hasan/README.md

Hello, I am Emon Hasan

Hi there 👋 I am Emon Hasan

Machine Learning Engineer • LLM Fine-Tuning Specialist • Data-driven AI Engineer • Agentic AI Systems Architect

Designing data-centric AI systems, fine-tuning large language models, and deploying production-grade intelligent systems.


💫 About Me:

Hi, I'm Md Emon Hasan — an AI/ML Engineer from Dhaka, Bangladesh, building production-grade, multimodal agentic AI systems across text, speech, and vision.

My core strength is fine-tuning Large Language Models. I work hands-on with LoRA, QLoRA, PEFT, and SFT, along with instruction tuning, quantization, and inference optimization to adapt models like for real-world, domain-specific tasks — building custom datasets, evaluation pipelines, and feedback loops end-to-end.

Beyond text, I build multimodal AI: Speech-to-Text (STT) transcription and voice pipelines, Text-to-Speech (TTS) for natural conversational AI, and Computer Vision including OCR and Vision-Language Models (VLMs) for multimodal reasoning.

I also design agentic AI systems — multi-agent architectures and RAG pipelines with LangChain, LangGraph, and CrewAI, featuring hybrid search, reranking, tool-augmented agents, and long-term memory. With a foundation in both front-end and back-end development, I ship these solutions as reliable, scalable products using FastAPI, Docker, Nginx, and CI/CD — turning intelligent AI into measurable real-world impact.


🌐 Socials:

Portfolio LinkedIn Medium WhatsApp Email Twitter Instagram Facebook


🛠️ Tech Stack

💻 Core Languages

Python Java JavaScript SQL Bash

🧠 Machine Learning (Classical ML)

Scikit-learn Optuna Boosting Stacking Cross-Validation XAI Feature-Selection Regularization

🧠 Deep Learning

PyTorch TensorFlow Keras CNN LSTM Transfer-Learning RNN GRU TensorBoard

🧠 NLP & Representation Learning

Transformers spaCy NLTK Embeddings Tokenization Attention NER Semantic-Search

🤖 Artificial Intelligence & Agentic AI

LangChain LangGraph LangSmith CrewAI RAG Multi-Agent Systems Tool Calling Prompt Engineering Context Engineering

🔥 LLM Fine-Tuning & Training

Fine-Tuning PEFT LoRA QLoRA SFT RLHF DPO Quantization vLLM Instruction-Tuning

🧠 Vector Databases & Retrieval

FAISS Chroma Milvus Qdrant Redis

📊 Data Science & Analysis

Pandas NumPy Matplotlib Seaborn Plotly EDA Feature-Engineering Statistical-Analysis Data-Cleaning

🗄️ SQL & Databases

MySQL PostgreSQL SQLite

⚙️ Backend & APIs

FastAPI Flask AsyncIO JWT OAuth2

🌐 Frontend

React TailwindCSS Bootstrap HTML5 CSS3 JavaScript

🚀 Deployment, MLOps & AgentOps

Docker Compose CI/CD Nginx Monitoring Logging


📊 GitHub Stats:

Gɪᴛʜᴜʙ Sᴛᴀᴛs

GitHub Stats

Sᴛʀᴇᴀᴋ Sᴛᴀᴛs

Streak Stats

Tᴏᴘ Cᴏɴᴛʀɪʙᴜᴛɪᴏɴs

Top Contributions

Lᴀᴛᴇsᴛ Pʀᴏᴊᴇᴄᴛ

Latest Project



🏆 GitHub Trophies

GitHub Trophies


✍️ Random Dev Quote


📈 Cᴏɴᴛʀɪʙᴜᴛɪᴏɴ Gʀᴀᴘʜ


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    Advanced multi-agent Medical AI Assistant powered by LangGraph that delivers empathetic, doctor-like responses using a hybrid pipeline of LLM reasoning, RAG from medical PDFs, and intelligent fallb…

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    Spanish literary translation system, fine-tuned using PEFT with LoRA for high accuracy and minimal compute cost. Built with an intuitive, premium-grade web interface with FastAPI, Bootstrap andcust…

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