CV

Education

• M.S. in Computer Science, Texas State University, San Marcos, TX — Class of 2026
• B.S. in Computer Science, National University of Computer and Emerging Sciences, Karachi, Pakistan — Class of 2020

Relevant Coursework

• Data Structures
• Programming Practicum
• Design and Analysis of Algorithms
• Software Engineering
• Artificial Intelligence
• Data Science
• Probabilistic Programming
• Deep Learning for Perception
• Machine Learning and Applications

Professional Development

• Oxford Machine Learning Summer School – Representation Learning & Generative AI track (Jul 2024)
• Encode Club Zero Knowledge Bootcamp (Aug–Sep 2023)
• Climate Change AI Summer School (Jun–Jul 2023)
• Encode Club Solidity Bootcamp (Jul–Aug 2022)
• Oxford MLx Finance Track (Aug 2022)
• Eastern European Machine Learning Summer School (Jul 2022)
• ML Summer School, Poland (Jun–Jul 2022)
• Online Asian ML School (Nov 2021)
• NTU Machine Learning Summer School (Aug 2021)

Work Experience

Senior Software Engineer
Reboot Technologies Pvt. Limited (Apr 2023 – Jul 2024) — Karachi, Pakistan

• Optimized async data flow with RabbitMQ, improving efficiency by 10%
• Refactored codebase and promoted agile practices via pair/mob programming
• Improved scalability and performance of .NET Core applications
• Achieved 90%+ security compliance via Veracode vulnerability fixes

Software Engineer
Reboot Technologies Pvt. Limited (Apr 2021 – Apr 2023) — Karachi, Pakistan

• Developed Multi-Asset Trade Life Cycle system with JavaScript and Ng-Client
• Used C/C++ and socket programming for real-time trading apps
• Containerized applications using Docker

Risk Advisory Intern
Deloitte (Dec 2019 – Feb 2020) — Karachi, Pakistan

• Performed journal entry testing using R and SPSS
• Conducted technical reviews of databases and OS for risk assessments

Data Analyst Intern
Jubilee Life Insurance (May 2019 – Aug 2019) — Karachi, Pakistan

• Built dashboards using IBM Cognos and Power BI
• Predicted medical insurance premiums using SVM with 55% accuracy improvement

Projects

• Distracted Driver Detection – Used MobileNetV2 & EfficientNet-B0 with PyTorch Lightning to improve safety (Dec 2024)
• Crypto Learning Platform – Built platform with React, Next.js, Solidity (Jul 2022)
• Devsol Web App – Platform for Pakistani developers; tech: Angular, Flask, AWS (Oct 2020)
• Satellite Imagery Detection – U-Net model for object classification in satellite images (Sep 2020)
• Medical Insurance Prediction – Bayesian learning with 88.7% accuracy (Jul 2020)
• Customer Analysis – ML analysis of financial app data with SVM (Oct 2019)
• Q-Learning Game – HCI project using Bellman equation and MDP (Dec 2019)

Skills

• Proficient: C/C++, JavaScript, Python, Java, C#, HTML/CSS, SQL, Git, Docker, Linux
• Familiar: NodeJs, TypeScript, React, Angular, ASP.NET, PyTorch, TensorFlow, Pyro, Solidity, AWS, GCP, LaTeX

Service and Leadership

• Runner-up in ACM’s Speed Debugging (2019)
• Runner-up in Web Masters Database Competition (2018)
• Team lead for front-end at Web-Master Society – maintained official university site
• Participated in 10+ ML summer schools and bootcamps globally