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hossain-arafat/README.md


About Me

I’m a final-year CSE undergraduate focused on building intelligent systems by combining research thinking with practical implementation.

I enjoy working at the intersection of:

  • AI/ML Engineering
  • Research & experimentation
  • Real-world system design

My core interests:

Computer Vision • NLP • HCI • Vision-Language Models

I’m especially curious about how models understand human language and visual data, and how those ideas can be transformed into usable systems.


What I'm Working On

  • Exploring Hugging Face ecosystem
  • Learning ML system deployment (Docker, FastAPIs)
  • Improving research implementation skills
  • Building user-facing AI applications

Featured Projects


LegalEase BD - AI Legal Assistant for Bangladeshi Law

  • Built a bilingual legal AI assistant using Hybrid RAG with ChromaDB embeddings, BM25 retrieval, and Reciprocal Rank Fusion
  • Developed a production-ready FastAPI + Modal backend powered by Groq-hosted LLaMA-3-70B with structured citations and confidence scoring
  • Designed a React frontend with Bengali/English support achieving low-latency serverless inference (1–2s post-warmup)

Repo: LegalEase-BD
Tech: Python, FastAPI, Modal, Groq, ChromaDB, Sentence-Transformers, BM25, React, Vite, Tailwind CSS


DeepAttend - Face Recognition Attendance System

  • Built a real-time face recognition attendance system supporting 50+ individuals
  • Improved recognition robustness through data augmentation and threshold tuning
  • Automated preprocessing pipeline with duplicate-safe attendance logging

Repo: DeepAttend
Tech: Python, TensorFlow, OpenCV


Regional Product Trade Management System

  • Developed a marketplace platform connecting regional buyers and sellers across Bangladesh
  • Implemented product management, authentication, ordering workflow, and role-based interaction system
  • Designed SQL Server-backed backend architecture with Windows Forms frontend integration

Repo: Regional Product Trade Management System
Tech: C#, .NET Framework, SQL Server


Tech Stack

Languages

Python C# PHP SQL C++ C

AI / Machine Learning

PyTorch TensorFlow Keras Scikit-Learn OpenCV Hugging%20Face

LLM / RAG / NLP

LangChain ChromaDB BM25 Sentence%20Transformers Groq FastAPI

Data Science

NumPy Pandas Matplotlib Seaborn Jupyter Google%20Colab

Web / Backend

React Vite JavaScript HTML5 CSS3 REST%20API

Desktop / Database

.NET Windows%20Forms ADO.NET SQL%20Server MySQL

Tools & Platforms

Git GitHub Docker Linux Streamlit Gradio Modal


How I Work

  • Rapidly turn ideas into working prototypes
  • Bridge research & real-world systems
  • Read papers and actually implement them
  • Focus on usability, not just models

📊 GitHub Analytics


Connect With Me


Final Thought

I’m interested in building AI systems that don’t just work in theory but solve real problems in practice.


Pinned Loading

  1. LegalEase-BD LegalEase-BD Public

    Bilingual AI legal assistant for Bangladeshi law. Hybrid RAG pipeline (BM25 + ChromaDB) over 35,472 legal chunks · LLaMA-3.3-70B · 7-stage NLP pipeline · Bangla & English · Deployed on Modal

    Python 1 2

  2. deepattend-face-recognition deepattend-face-recognition Public

    A intelligent attendance system using MobileNetV2 and OpenCV to provide real-time face recognition and automated record log via a user-friendly Tkinter GUI.

    Jupyter Notebook

  3. Regional-Product-Trade-Management-System Regional-Product-Trade-Management-System Public

    Regional product trading system using C# and SQL Server.

    C#

  4. PizzaGo PizzaGo Public

    Online pizza ordering and management system

    PHP