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faseehahmed26/README.md

Mohammad Faseeh Ahmed

LinkedIn Twitter Portfolio Kaggle Tableau

πŸ‘¨β€πŸ’» Data Scientist & Machine Learning Engineer

Currently pursuing my M.S. in Data Science at Rochester Institute of Technology (Expected May 2025), I specialize in NLP, distributed training, and building end-to-end ML pipelines. With experience spanning healthcare, content generation, and e-commerce, I'm passionate about developing scalable AI solutions that deliver measurable business impact.

πŸ”­ Current Focus

  • R&D Data Governance Intern at Daiichi Sankyo Inc, working on NLP for clinical data analysis
  • Research Assistant at RIT, enhancing federated learning models and distributed systems
  • Exploring RAG architectures for intelligent information retrieval systems
  • Developing practical MLOps solutions for production-ready AI systems

⚑ Technologies & Skills

Languages

Python Java JavaScript R C++ Go Julia

ML & Deep Learning

PyTorch TensorFlow scikit-learn Keras YOLO BERT Hugging Face

Data Engineering & MLOps

Docker AWS MLflow PySpark GCP Azure

Web Development

Flask React Node.js

Databases

MongoDB PostgreSQL MySQL DynamoDB

πŸ“š Recent Projects

BoxRAG: Movie Recommendation System

Built an intelligent movie recommender using Mistral 7B and RAG techniques, combining traditional algorithms with LLM-powered content analysis for personalized recommendations.

  • Tech: Mistral 7B, FAISS, HNSWStore, ChromaStore, Flask, React

NLP-Driven ICF Analysis Pipeline

Engineered a system to analyze 300+ monthly Informed Consent Forms, achieving 87% classification accuracy for data-sharing permissions using BERT embeddings.

  • Tech: BERT, T5, Flask, Custom Tokenization Rules

Real-Time Inventory Management with Computer Vision

Developed a YOLOv5-based system for cold beverage inventory management with real-time detection capability, integrated with a SQLite database.

  • Tech: YOLOv5, Streamlit, SQLite, OpenCV

Prompt-Manager Library

Created a Python library for efficient prompt management and versioning in LLM applications, implementing version control and modular configuration.

  • Tech: Python, JSON

πŸ“ Technical Blog Posts

πŸ“Š GitHub Stats

Faseeh's github stats

πŸ” Research Publications

  • Tubules Detection on Breast Carcinoma Whole Slide Images Using Artificial Intelligence (C-MIMI Conference, Johns Hopkins University)
  • Web-Based Mitosis Detection on Breast Cancer Whole Slide Images Using FasterRCNN and YOLOv5 (International Journal of Advanced Computer Science Applications)

🎯 2025 Goals

  • Complete my Master's in Data Science with excellence
  • Contribute to open-source projects in NLP and distributed ML
  • Become a Kaggle 3x Expert
  • Publish research on federated learning innovations

πŸ“« Let's Connect!

I'm always interested in collaborating on interesting projects, discussing AI/ML advancements, or exploring new opportunities in the data science space. Feel free to reach out!

Email Phone

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  2. Kidney-Detection Kidney-Detection Public

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  4. Second-Hand-Car-Price Second-Hand-Car-Price Public

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  6. Commodities-Investing.com Commodities-Investing.com Public

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