Machine Learning Engineer | Data Scientist | Software Developer | Bachelor in Computer Science
As a recent graduate with a solid foundation in logic building and programming languages, I bring expertise in data science projects, front-end, and back-end development. Known for my collaborative approach, effective communication, and strong work ethic, I am motivated to contribute meaningfully in the tech industry.
Machine Learning Engineer, SeedInov
October 2023 – Present (Part-time & Remote)
- Researching and implementing machine learning and AI solutions to improve the company's products and services.
- Leading ongoing projects:
- Multiple Medical Chatbot Specialist (Ongoing)
- Utilizing OpenAI's GPT-3.5 fine-tuning API & Lang Chain.
- Implementing the RAG (Retrieval-Augmented Generation) system with scraped data from medical resources.
- Computer Vision for detecting scope open kill time in Call of Duty (Ongoing).
- Applying traditional computer vision techniques for detecting kill cam sections & measuring time from scope open to kill occurrence.
- Multiple Medical Chatbot Specialist (Ongoing)
Data Science Trainer, Applied DataLab
August 2023 – December 2023 (Freelance & On-site)
- Providing programming assistance to the class and facilitating the preparation of assignments.
Data Science Intern, the Sparks Foundation
April 2023 – May 2023
- Created ML models to analyze provided datasets, forecast hidden data, and evaluate model precision.
- Performed exploratory data analysis (EDA) procedures to learn new facts about the datasets.
AI Research Intern, National Center for Cyber Security (NCCS)
March 2022 – April 2022
- Researched state-of-the-art algorithms for insider threat detection and gained exposure to various machine learning techniques such as recommendation systems and BERT.
- My brief internship experience sparked my interest in the field of machine learning and provided valuable learning opportunities
| Skills | |||
|---|---|---|---|
| Machine Learning | --------------- | ------------ | ------------ |
| Numpy | SnapMl | Matplotlib | |
| Scikit-learn | Pandas | Seaborn | |
| Scipy | OpenCV | OpenAI | |
| Web Development | --------------- | ------------ | ------------ |
| JavaScript | NodeJs | Html | |
| ThreeJs | ExpressJs | Css | |
| Database | --------------- | ------------ | ------------ |
| MongoDb | PostgreSQL | SQL Server |
🏆 Datacamp 2023 Competition Winner Notebook
1st Position Winners of the DataCamp "Create the Perfect Party Playlist" Competition 2023 (Umar & Faizan).
Final Year Project: Haazir - On-Demand Service Providing App
A service-providing mobile app basically takes the idea of ride-hailing services like Careem and Uber and transforms it into a service-providing system so that people can hire these services from the comfort of their homes instead of searching various places to find these workers.
Computer Vision and Object Detection API
A PYQT-based GUI hand gesture recognition application that interprets human hand gestures to form. Although I did not have the opportunity to work on it professionally, I gained experience in using computer vision and object detection APIs.
3D Procedural City Generation of Karachi using THREE.js
Procedural City Generation in THREE.js: Random Buildings, Custom Camera, Quaid-e-Azam and Rickshaw Models, and Three Perspectives.
Finite State Machines Turn Based Game (Finite Ball)
A two-player 2D soccer game (Pygame) similar to air hockey, with transition-based movement and actual In-elastic collision physics.
Mio Programming Language - Front-End-Compiler-Project
MIO programming language features a front-end compiler that performs lexical, syntactic, and semantic analysis.
- IBM (Coursera)
- Machine Learning with Python
- Python for Data Science
- DataCamp
- Introduction to Statistics
- University of Michigan (Coursera)
- HTML | CSS | JS | Responsive Design
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DataCamp – Spotify Competition
- Achieved 1st position
-
Kaggle Challenge – Titanic: ML
- Achieved 78.7% accuracy
-
Procom’23 – Data Scientist
- Achieved second-best accuracy and Third position overall.
- Phone: +92 317 2456854
- Email: [email protected]
