I am an aspiring software engineer with a strong background in MERN stack web development, DevOps, and machine learning. I have deployed production-ready applications on Ubuntu servers and actively participate in international competitions such as CS50 Harvard Puzzle Day, Stanford Code in Place, and different hackathons. I love building fun and impactful projects. In my free time i like to play Chess
Taught Stanford’s Code in Place CS106A course to 13 students during CIP 2025, focusing on programming fundamentals.
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Solved all 9 puzzles of Harvard's CS50 Puzzle Day, showcasing strong problem-solving skills.
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Collaborated internationally to develop InboxIQ, an AI-powered email sorting and reply tool.
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April 2025 - May 2025
Remote
Code in Place is a global initiative by Stanford University that brings together volunteers to teach computer science through the CS106A curriculum, fostering inclusive and accessible education worldwide.
April 2025 - May 2025
September 2024 - Present
Mang, Haripur
Pak-Austria Fachhochschule is a leading applied sciences university offering industry-integrated education and research opportunities, particularly in AI, cybersecurity, and engineering.
September 2024 - Present
July 2024 - August 2024
Islamabad, Pakistan
National Centre for Physics (NCP) is a leading Pakistani research institute focusing on theoretical and applied physics, offering internships and research opportunities in AI and machine learning.
July 2024 - August 2024
November 2023 - February 2024
Haripur, Pakistan
Agriculture Extension Office Haripur supports local farmers through education and field services. The department adopted digital solutions to modernize data collection and improve monitoring.
November 2023 - February 2024
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2022 – 2026 (Expected) B.S. in Computer ScienceCGPA: 3.77 out of 4Extracurricular Activities:
Academic Achievements:
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InboxIQ is an AI-powered email triage assistant developed during the Execute: AI Genesis international hackathon. It helps users manage their inbox efficiently by using AI to organize, prioritize, and suggest replies to emails. I contributed as a backend developer, focusing on scalable service development, AI integration, and deployment.
Built a deep learning pipeline using DenseNet201 for classifying 102 flower species from the Oxford Flowers dataset. Preprocessed and labeled data using MATLAB .mat files, split into train/val sets, and achieved 91% accuracy in just 5 epochs.
A multilingual translation application for healthcare, enabling seamless communication between patients and providers. Integrates Azure’s translation services, GPT-3.5 Turbo, and speech recognition to transcribe and translate audio input into live transcriptions and translated audio output.
Developed and deployed a web application to digitize the paper-based workflows of the Agriculture Extension Office Haripur. Ensured mobile accessibility, secure access for authorized employees, and performance tracking for supervisors. It was also responsive.
