I'm a computer science student with a passion for AI, full-stack development, and creating impactful tech solutions. I enjoy solving complex problems, contributing to open-source projects, and continuously learning about the latest technologies. I'm always eager to connect and collaborate on exciting new projects!
- Programming Languages: Python, Java, C, Javascript, Typescript, HTML/CSS, SQL, Haskell
- Frameworks and Libraries: PyTorch, OpenCV, Pandas, NumPy, Flask, Vue.JS, React, Node.js, Tailwind, Stripe
- Tools & Technologies: Git, GitHub, RESTful API, Docker, Firebase, GCP, Redis, LATEX
- Enhancing my expertise in Large Language Models and their real-world applications.
- Exploring cloud infrastructure with AWS and Google Cloud.
- Spearheaded the development of Calmify.ai, an AI-powered chatbot utilizing LLM, aimed to provide affordable and accessible mental health support.
- Leveraged Firestore as the primary database, enhancing data management for smooth user-bot interaction and real-time response optimization.
- Orchestrated robust and scalable back-end operations using Firebase Cloud Functions, delivering a high-performance, resilient architecture.
- Engineered an advanced eye gaze tracking system using Python, OpenCV, MediaPipe, and PySide6, implementing projective transformation for accurate gaze estimation.
- Developed a 9-point calibration process and a quantitative accuracy evaluation matrix using mathematical modeling and computer vision techniques.
- Led client demonstrations, showcasing the system’s capabilities and collaborating with the team to deliver a high-quality solution.
Software Engineer Intern
June 2024 - September 2024
- Developed and integrated a comprehensive feedback plugin for Backstage, using Typescript, React, and Node.js, resulting in a 35% increase in user feedback submissions within the first month.
- Led the integration of PlatformX into Backstage, enabling real-time event capture and analysis, which resulted in a 50% increase in event logging for more precise user engagement monitoring and optimization.
- Implemented and executed comprehensive unit testing using Jest for both plugins, achieving 95% test coverage to ensure robust functionality, reliability, and maintainability.
Summer Exchange Research Intern
June 2023 - August 2023
- Built a model using multimodal large language models (M-LLMs) to identify potential hazards in construction environments through site photos and safety policy texts.
- Prepared and cleaned the necessary data for the model, which included a comprehensive dataset of 16 safety regulations and 2386 corresponding construction images.
- Utilized BLIP-2 for Visual Question Answering (VQA), as the base for the model, and fine-tuned the model to enhance its performance.
BSc Computer Science. Grade: 2:1.
Sep 2022 - Jun 2025
Modules include: Object-Oriented Programming, Software Engineering, Data Structures and Algorithms, Logic, Mathematics, and Statistics.
