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Aspiration Statement
"I aspire to lead AI innovations, enhancing user experiences through advanced machine learning solutions, while fostering a collaborative environment that drives technological excellence and personal growth."
Core Skills
- Machine Learning and Deep Learning, Member Serve Club, Python, Natural Language Processing (NLP):, React HTML CSS
Academic Awards / Achievements
- President's List in 2024 Dean's List in Fall 2024 Dean's List in Spring 2024 Dean's List in Fall 2023 Dean's List in Fall 2022
Experience
Leadership / Meta-curricular
- Acting President, Araish-e-Khayal urdu literature club First Runer's up Invent for the Planet 2023 Member Serve Club Orientation Leader for class of 2027 Teaching Assistant for Operating System and Calculus 1
Internship / Volunteer Work
- ICT Intern, Engro Corporation (July 2024 - August 2024)
Publications / Creative Projects
- Research Paper on Fine-tuned LLM based approach to Scientific Text Simplification published in CLEF 2024 https://ceur-ws.org/Vol-3740/paper-309.pdf
Final Year Project
Project Title
Weather Walay - Agaahi
Description
WeatherWalay is an AI-powered weather prediction system for hyper-local nowcasts and forecasts in Pakistan. It integrates Kriging, CNNs, LSTMs, and Transformer models to enhance accuracy. The system provides real-time, role-based advisories for freight transporters, travelers, and event managers via a mobile app, offering route-specific weather alerts and an advanced mode with detailed maps and model selection. The project addresses Pakistan's unpredictable weather by improving localized forecasting, benefiting transport, logistics, event planning, and climate resilience. Key findings include increased forecast accuracy, customized insights, and real-time alerts. Future applications include climate risk assessment and smart agriculture. By bridging AI and geospatial data, WeatherWalay enhances decision-making and safety, contributing to sustainable, AI-driven weather intelligence in Pakistan.