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Fazeel Z. - Data Science Engineer, Object Detection, Artificial Intelligence

My name is Fazeel Z. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: Python, PyTorch, TensorFlow, Machine Learning, Generative AI, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: AI Powered Song Finder, AI Collaborative Chatbot with RAG Implementation, Deepfake Detection using Deep Learning, Real-Time Chat App using Django, Channels and Web Sockets, Spotify Skip Predicition using AI. I am based in Karachi, Pakistan. I've successfully completed 5 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • Data Science Engineer

    3 years

  • Python

    1 Year

  • PyTorch

    2 Years

  • TensorFlow

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

AI Powered Song Finder

I developed an AI-Powered Song Finder application deployed on AWS EC2 that combines OpenAI GPT-4o with the Spotify API for personalized music recommendations. Features include secure user authentication with bcrypt hashing, SQLite storage, and persistent login via encrypted cookies. Users describe their music preferences in natural language, which GPT-4o interprets to identify themes, then the system searches Spotify's catalog across North American markets to deliver targeted song recommendations with playable previews.

AI Collaborative Chatbot with RAG Implementation

I developed a Streamlit RAG application deployed on AWS EC2 that combines Ollama (Gemma 2B) with ChromaDB for intelligent Q&A. Features include secure user authentication with bcrypt hashing, SQLite storage, topic-based content organization with access controls, and document processing for PDFs/DOCX. Users can upload documents, search semantically, get context-aware answers, and share private topics through encrypted codes, demonstrating my Python and ML development expertise.

Deepfake Detection using Deep Learning

The primary goal of this project was to develop a solution to detect deepfake videos, which has recently become a major issue due to the rapid advancement of Generative AI. My approach for this project involved the use of ResNeXt50 which is used to extract facial key points from the video frames, and LSTM which is used to analyze temporal patterns at each time step (frame-by-frame). This solution could predict videos up to 10 seconds in length at 30 frames per second with varying backgrounds and decent accuracy.

Real-Time Chat App using Django, Channels and Web Sockets

A real-time chat application built using Python's Django framework and the Channels library for handling WebSockets. The front end is developed using vanilla JavaScript and styled with Tailwind CSS.

Spotify Skip Predicition using AI

This was my internship project where I had to train a model on Spotify datasets and then deploy that model on an application that was made using Flask. The application had a form where the usage data of a Spotify user will be entered and based on that user data it will be predicted whether that user will skip a certain song or not

Education

  • Bahria University

    Bachelor of Science (BS) in Computer science

    2019-01-01-2023-01-01

Languages

  • English
  • Hindi
  • Urdu

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