I’m a junior Computer Engineering student at Georgia Tech, pursuing threads in Information Internetworks and Computing Hardware & Emerging Architectures (CHEA). I’m currently a TA for CS 2050 (Discrete Math), a Software Developer in the Experimental Flights VIP program, and an undergraduate researcher at the IVA Lab, where I’m building image processing algorithms for robotic mapping and an AR-based navigation system. Outside research, I’ve developed projects like Echoes, a React-Native app that uses speech-to-text, vector embeddings, and a RAG LLM to deliver context-aware mental health support, and PomoFlow, a Chrome extension with focus detection and dynamic site blocking. I’m passionate about engineering systems that merge hardware, software, and intelligence to tackle real-world challenges.
Skills
I already know
I'm currently learning
I speak
Work experience
Undergraduate Teaching Assistant | Discrete Math for Computer Science
College of Computing, Georgia Instutute of Technology
August 2025 - now
- Provided one-on-one academic support to over 500+ pupils via office hours and Ed Discussion, improving student performance and confidence in problem-solving.
- Graded homework assignments and exams, ensuring fairness and alignment with course objectives.
- Conducted weekly review sessions, enhancing students' understanding of complex topics.
- Collaborated with faculty and other TAs to develop course material and conduct exam review sessions.
Software Engineer | IVA Lab
Undergrduate Research Opportunities Program (UROP), Georgia Institute of Technology
August 2025 - now
- Developing features for a web app that provides indoor navigation for individuals with disabilities, including AR-based guidance and precise route visualization.
- Contributing to the translation of MATLAB image-processing pipelines into Python to generate accurate indoor floor plans from robot-collected mapping data.
Software Engineer | Experimental Flights
Vertically Integrated Projects, Georgia Institute of Technology
August 2025 - now
- Designed and launched a Flask + SQLAlchemy web platform with multi-role authentication (admin, employee, customer) for a pharmacy, streamlining 100+ inventory and order operations.
- Built dynamic inventory tracking, automated PDF reporting (cut manual report prep time by ~70%), and integrated email notifications, boosting order processing efficiency.
- Delivered a responsive HTML/CSS/JavaScript frontend that reduced order entry errors by 30% and improved usability across devices.
- Architected a scalable backend backed by SQLite, ensuring reliability and smooth handling of concurrent operations.
Projects
- Developed Echoes, a mobile journaling app where users record daily memories that are transcribed, embedded, and retrieved through a RAG-powered LLM therapist to provide context-aware mental health support.
- Integrated AssemblyAI Speech-to-Text for audio transcription and stored transcripts in Supabase with vector embeddings generated using Gemini 001.
- Implemented cosine-similarity search over stored embeddings with pgvector to ground conversations in a user’s past experiences.
- Designed a RAG pipeline leveraging Gemini Flash 1.5 for context-aware guidance, built on a scalable architecture.
- Currently undergoing final testing and preparing for launch on the App Store.
- Built a Chrome Extension (Manifest V3) with a persistent Pomodoro timer, leveraging background service-workers, chrome.storage for state management, and browser notifications for phase changes.
- Developed a dynamic allowlist/blocklist system using chrome.declarativeNetRequest and chrome.tabs APIs to redirect blocked pages to a custom focus page.
- Engineered an on-device focus-detection module by streaming webcam data to a bundled BlazeFace.js model via offscreen documents, ensuring privacy while dynamically adapting the timer based on user presence.
- Designed the extension with a lightweight, modular architecture, enabling low-latency performance while integrating computer vision with productivity workflows.
- Currently undergoing beta testing on the Chrome Web Store.
- Developed a full-stack portfolio analysis tool that recommends diversification strategies using real-time stock data and covariance-based risk modeling.
- Frontend: Built a responsive Streamlit interface with modular navigation, improved performance with caching (reducing load times by ~75%), and implemented interactive Plotly candlestick charts with draggable timeframes from Polygon.io’s API.
- Backend: Cleaned and normalized S&P 500 stock data, and designed an algorithm using the covariance matrix to detect underrepresented industries, surfacing the 3 least-diversified sectors for recommendation.
- Awards: 2nd Place at HackGT 2024, 4th Place - Best Lens SnapAR Category.
- Built an augmented reality simulation for SnapAR Spectacles that guides individuals to safety during natural disasters and trains them for emergency response.
- Integrated 3D LiDAR scans into Lens Studio to overlay safe and dangerous zones in real environments, providing intuitive visual and audio guidance during earthquake scenarios.
- Leveraged WebGL for real-time object detection and hazard simulation, enabling immersive, hands-on disaster preparedness training.
Education
BSc. Computer Engineering
Georgia Institute of Technology
August 2024 - December 2027
Threads: Information Internetworks and Computing Hardware & Emerging Architectures
Relevant Coursework: Data Structures and Algorithms, Object Oriented Programming, Design & Analysis of Algorithms, Digital System Design & Lab, Programming Hardare/Software Systems, Intro to CS, Discrete Math for CS, Linear Algebra with Abstract Vector Spaces
International Baccalaureate (IB) Diploma, Advanced Placement, IGCSE
Singapore International School, Mumbai
August 2019 - May 2024
Salutatorian of the Class of 2024, Chairman's Scholarship Awardee
IB Grade: 44/45; APs: 5 in AP Micro, Calculus BC, Physics 1; IGCSE: 10A*