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I craft intelligent solutions with Python — from AI-powered desktop apps and interactive data dashboards to full-stack web applications. Experienced in Machine Learning, Data Science, and building production-grade software.
I'm a Software Engineering student and OpenHack'25 Hackathon Winner who builds AI-powered desktop apps, interactive data dashboards, and full-stack web applications with Python.
As a Python Developer and Data Analyst, I combine clean architecture with Machine Learning to build production-grade solutions that solve real problems.
Writing code that is easy to read, test, and maintain.
Using data analysis to make better decisions and solve problems.
Continuously improving my skills with new technologies and best practices.
Testing and optimizing AI prompts to ensure high-quality model responses. Developing structured evaluation frameworks for AI output quality, writing Python scripts for automated QA testing, and collaborating with the AI team to improve prompt-response accuracy.
Building custom desktop applications, data dashboards, and automation tools for clients. Specializing in Python-based solutions including PyQt6 desktop apps, Streamlit/Dash dashboards, and Flask web applications.
Pursuing an undergraduate degree in Software Engineering, focusing on modern software development practices, data structures, algorithms, and emerging technologies.
Won first place at OpenHack25 hackathon with an AI-powered study assistant.
Led technical workshops and mentored students at Google Developer Student Clubs.
Managing social media and community outreach for Google Developer Group on Campus.
AI-powered study companion with smart flashcards, quizzes, concept mapping, and gamified learning. Multi-provider AI engine (Gemini + OpenAI) with offline NLP fallback. Won OpenHack'25 — PKR 10,000 prize.
Production-grade battery management system with custom ML engine — Arrhenius degradation model, Z-score anomaly detection, pattern learning. Clean Architecture (DDD) with 26 UI modules.
Interactive global analytics dashboard with world map, trend analysis, country comparisons, vaccination tracking, and correlation analysis across 200+ countries.
Data-driven analysis of Pakistan's startup ecosystem — investor analytics, sector breakdowns, city-wise funding distributions, and year-over-year investment trends.
Full-stack e-commerce platform with user authentication, product catalog with search & filters, shopping cart, checkout system, and order management with cancellation.
Multi-section analytics dashboard connected to AWS RDS MySQL — executive overview, sales analysis, customer insights, delivery metrics, and review analysis.
Browser-based arcade website with 22 playable games — from text adventures to canvas-rendered classics. Neon retro theme with zero dependencies, built entirely in vanilla JS.
Comprehensive time series case study on GOOG stock data (2004–2025) — trend decomposition, stationarity testing, forecasting models, and statistical analysis.
Explore more of my work on GitHub — always building something new!
View GitHub ProfileHave a project in mind or want to discuss opportunities? I'm always open to new ideas and collaborations. Feel free to reach out!
