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quamrl-hoda/README.md

Quamrul Hoda

AI/ML Engineer · MLOps · LLM Systems

Hi there! 👋 Thank you for stopping by — it truly means a lot. I'm Quamrul, an AI/ML Engineer with hands-on experience in Machine Learning, Deep Learning, and Generative AI. I build LLM-powered applications using RAG, Agentic AI, LangChain, and LangGraph — focused on developing scalable, production-ready AI systems.

Based in Jalandhar, Punjab, India · Founder of Cognefy

📬 qhoda489@gmail.com  ·  LinkedIn  ·  DagsHub

Cognefy

Cognefy is a technology studio I founded, based in India. We design and build AI-powered web applications, ML solutions, and UI/UX-first digital products — bridging the gap between cutting-edge AI research and real-world usability. Our focus is on delivering practical, scalable technology for businesses and end users alike.

Projects

AI English Tutor  ·  GitHub Active

An adaptive conversational English tutor designed specifically for Indian language speakers — Hindi, Bengali, and more. Built on FastAPI with LLM-driven dialogue that adjusts to each learner's native language context, making English learning more accessible for Tier-2 and Tier-3 city users.

FastAPI LLM APIs Python

Multi-Agent Article Generator  ·  GitHub Active

An orchestrated multi-agent system that automates the full content pipeline — from research to drafting to editing — and publishes to Medium. Built with the Agno framework, with OpenRouter routing tasks to Gemini models. Each agent has a defined role, keeping the workflow clean and modular.

Agno OpenRouter Gemini Python

Zomato Delivery Time Prediction  ·  GitHub

End-to-end ML pipeline predicting food delivery ETAs using LightGBM. Built with a strict config → entity → component → pipeline architecture for maintainability and reproducibility. MLflow handles experiment tracking and model registry, DVC manages data versioning, and the model is served via a Flask REST API.

LightGBM MLflow DVC DagsHub Flask Python uv

Technical Skills

Machine Learning — Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, Regression, Classification, Clustering, PCA

Deep Learning — PyTorch, TensorFlow/Keras, BERT, Transformers, LSTM, CNN, YOLO, NLP, Computer Vision

LLM & Generative AI — Prompt Engineering, Fine-Tuning, HuggingFace, OpenAI API, FAISS, Pinecone, Chroma, RAG

Agentic AI — LangChain, LangGraph, Agno, Ollama, OpenRouter, Gemini API, Claude API

MLOps — MLflow, DVC, DagsHub, Docker, Reproducible Pipelines

Backend — FastAPI, Flask, REST APIs, Python, SQL

Tools — Git, GitHub, Linux, HTML, CSS

Pinned Loading

  1. reddit-sentiment-analysis reddit-sentiment-analysis Public

    Built an end-to-end Reddit sentiment analysis pipeline using NLP techniques, integrating DVC for data versioning and MLflow for experiment tracking to ensure reproducibility and efficient model com…

    Python 1 1

  2. swiggy-delivery-time-prediction-system swiggy-delivery-time-prediction-system Public

    This project predicts food delivery time using Machine Learning and demonstrates a complete end-to-end MLOps pipeline.

    Jupyter Notebook

  3. wine-quality-ml-project wine-quality-ml-project Public

    This project predicts the quality of wine based on its physicochemical properties such as acidity, sugar, pH, and alcohol content. Using machine learning models, the system learns patterns from his…

    Jupyter Notebook

  4. car-plate-detection car-plate-detection Public

    Automatic License Plate Recognition (ALPR) system using computer vision and deep learning to detect and extract vehicle license plates from images and video streams in real-time.

    Python