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I engineer production-grade desktop applications with custom ML models, build AI-powered tools integrating LLMs, and create interactive data dashboards that drive business decisions. OpenHack'25 Hackathon Winner with a focus on Clean Architecture and performance optimization.
I'm a Software Engineering student and OpenHack'25 Hackathon Winner who specializes in building production-grade desktop applications with Python. My work spans custom ML models, AI-powered tools integrating LLMs, and interactive data dashboards.
I've built a battery management system using Clean Architecture (DDD) with custom ML algorithms (Arrhenius degradation, Z-score anomaly detection) and a hackathon-winning AI study assistant with multi-provider fault tolerance. I believe in writing code that is well-architected, thoroughly tested, and production-ready.
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.
Providing professional data services including Python data analysis, Power BI dashboard development, SQL query optimization, and Excel/CSV data transformation for international clients.
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.
Led technical workshops and mentored students on Python development, data analysis, and web technologies. Organized coding sessions, hackathon prep events, and community outreach programs for the university's developer community.
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.
Hackathon-winning (1st place, OpenHack'25) AI study companion that transforms PDFs, DOCX, and YouTube videos into interactive flashcards, quizzes, and concept maps. Multi-provider AI (Gemini + OpenAI) with fault-tolerant offline NLP fallback using TF-IDF.
Enterprise-grade battery management system with custom ML algorithms built from scratch — Arrhenius degradation model, Z-score anomaly detection, and EMA smoothing. Clean Architecture (DDD) with 26 PyQt6 UI modules and 60% memory reduction from v3.0.
Interactive analytics dashboard processing millions of records across 200+ countries. Features choropleth world map, dual-axis trend charts, vaccination progress tracking, bubble scatter correlation analysis, and real-time KPI cards.
Multi-view data application analyzing Pakistan's startup ecosystem with data normalization algorithms, investor drilldowns, sector-wise breakdowns, and interactive year-over-year funding trend visualizations.
Full-stack e-commerce application with MVC architecture — secure authentication (password hashing), product catalog with search/sort/filter, cart management, checkout flow, and a 10-minute order cancellation window with JS countdown.
Multi-section analytics dashboard connected to AWS RDS MySQL — executive overview, sales analysis, customer insights, delivery metrics, and review analysis.
Browser-based arcade with 22 fully playable games — 11 canvas-rendered arcade titles (Snake, Tetris, Space Invaders) and 11 terminal-based text games. Zero dependencies, featuring custom game loops, collision detection, and AI opponents.
Comprehensive case study on GOOG stock data (2004–2025) using ARIMA forecasting, ADF/KPSS stationarity tests, seasonal decomposition, and autocorrelation analysis with statistical validation metrics.
Automated data extraction pipeline scraping smartphone specifications from Smartprix. Handles pagination, anti-bot measures, and exports structured data for analysis.
Suite of 4 interactive business intelligence dashboards — PSL Cricket Analytics, Pakistan E-Commerce Sales, Samsung Supply Chain Monitoring, and Weather Analytics. Features KPI tracking, DAX measures, and Power Query ETL pipelines.
Explore more of my work on GitHub — always building something new!
View GitHub ProfileAvailable for hire on Fiverr — transforming data into actionable insights
Professional data analysis, cleaning, and visualization using Python (Pandas, Matplotlib, Seaborn). I transform raw data into clear, actionable insights.
View on FiverrExpert SQL query writing, optimization, and error fixing. I create complex database reports and ensure your data operations run smoothly.
View on FiverrComprehensive data cleaning, formatting, organizing, and merging for Excel or CSV files. I make your messy data ready for analysis.
View on FiverrProfessional Power BI dashboard development with DAX and interactive data visualizations. Turn your business data into compelling stories.
View on FiverrHave a project in mind or want to discuss opportunities? I'm always open to new ideas and collaborations. Feel free to reach out!
