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Fashad-Ahmed/README.md

Ciao! Sono Fashad

Full Stack AI Engineer  ·  MEng Artificial Intelligence, University of Bologna


I build production-grade AI systems at the intersection of large language models, agentic architectures, and full-stack engineering. Currently pursuing an MEng in AI at UniBO while actively seeking roles where rigorous engineering meets applied research.

  • 🌍  Based in Bologna, Italy
  • 🎓  MSc in Artificial Intelligence — Alma Mater Studiorum, Università di Bologna
  • 💼  Experience across MENA's largest tech platforms, product-driven companies, and AI startups — most recently as a Software Engineer at Dubizzle, shipping full-stack features at scale and engineering a production multi-agent AI system using LangGraph
  • 🔬  Co-author, TermNinjas at ATE-IT — EVALITA 2026, NLP & Speech Tools for Italian
  • 🔍  Open to roles in AI Engineering, ML Engineering, and Full Stack AI
  • 🤝  Interested in collaborating on NLP, Recommender Systems, RL, and Deep Learning
  • ✉️  Email: fashad.ahmed20@gmail.com

Tech Stack

AI / ML

Frontend

Backend

Databases & Messaging

DevOps & Cloud

GitHub Stats

 

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Fashad Ahmed's Dev Card

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  1. The-Speako The-Speako Public

    Transcribing audio files using Hugging Face's implementation of Wav2Vec2 + "chain-linking" NLP tasks to combine speech-to-text with downstream tasks like translation and keyword extraction

    Jupyter Notebook 1

  2. Library-Management-System Library-Management-System Public

    A Database Management System Course Project containing all the features, SQL scripts and options to serve as a DBMS for State Town Library 🚀

    10 2

  3. Spotify-ETL-Music-Recommendation Spotify-ETL-Music-Recommendation Public

    Data warehouse and mining semester project

    Jupyter Notebook 2

  4. Network-Packet-Analyzer Network-Packet-Analyzer Public

    Computer Communication Networks Semester Project

    Java 3

  5. Tablut-challenge Tablut-challenge Public

    Hybrid Reinforcement Learning and minimax agent for Tablut game. Combines PPO trained value networks with alpha beta search for competitive play.

    HTML 1

  6. Hybrid-Probabilistic-Model-for-Football-Match-Prediction Hybrid-Probabilistic-Model-for-Football-Match-Prediction Public

    Probabilistic model combining Hidden Markov Models for momentum inference with Bayesian Networks for match outcome prediction. It is a Academic research project.

    Jupyter Notebook