Built a full-stack audit platform with typed REST APIs spanning multi—role workflows-access control, draft saves, submission, and reporting—with i18n and accessibility configurations tailored for diverse field workers.
Engineered an offline-first mobile app (Legend State/MMKV, background sync) enabling auditors to start, resume, and submit field audits reliably in low-connectivity environments across localized, accessible interfaces.
Designed normalized scoring pipelines with client-side CSV/XLSX/PDF export; hardened draft-save flows against duplicate-key failures and extended data integrity guarantees across multi-round field testing.
Technologies used:
React Native
Expo
Next.js
FastAPI
SQLAlchemy
PostgreSQL
TypeScript
Software Developer (Contract) @ Halo — Wearable AI (June 2025 - July 2025)
Orchestrated real-time iOS face recognition integrating ESP32 streams with Apple Vision Framework for instant social-profile aggregation and local face data management via REST APIs.
Redesigned Celery + Redis backend architecture with multi-layered OpenAI prompts, reducing face-search processing
time from 3 minutes to under 50 seconds.
Technologies used:
Swift
ESP32
Celery
Redis
FastAPI
OpenAI
Computer Systems Developer @ Rizvi Lab, Cornell University (July 2024 - September 2024)
Developed a PyQt-based touchscreen GUI for BeagleBone, enabling monitoring and control of food processing equipment via secure shell connection with MobaXterm.
Employed Linux shell scripts and cron jobs to streamline system operations and automate task management.
Technologies used:
Linux
Shell Scripts
PyQt4
Beaglebone
Software Engineering Intern @ rapStudy (June 2023 - August 2023)
Los Angeles, California
Spearheaded codebase refactoring to Redux and memoization, boosting frontend rendering speed by 93%.
Architected a song-sharing feature using React, Firebase, and 10+ custom Firestore rules, enhancing platform security and enabling controlled access for over 100 potential external users.
Engineered a synchronized SongView component with lyrics using Redux, fostering seamless integration of song playback and lyrics display, securing a synchronization accuracy of 95%.
Technologies used:
React.js
Redux
Firebase
Firestore
Data Engineer @ Cornell College of Engineering (June 2023 - September 2023)
Ithaca, New York
Constructed an advanced ETL pipeline using Selenium and NLP, processing financial data of 3000+ companies, resulting in an 83% decrease in processing time through parallel processing.
Architected and deployed a full-stack application leveraging Next.js and Flask, integrating Server-Sent Events (SSE) for fast real-time data retrieval, resulting in a 66% reduction in data latency and a superior front-end user experience.
Technologies used:
Next.js
Flask
Selenium
NLP
Server-Sent Events
Software Developer @ Cornell Yang-Tan Institute (July 2022 - December 2022)
Ithaca, New York
Crafted a flexible slug management system on the AskEarn website using PHP, Laravel, and Strapi CMS, allowing for effortless page URL modification, thereby improving the user experience for over 100,000 monthly active users.
Technologies used:
PHP
Laravel
Strapi CMS
Software Engineering Intern @ Sellpoint (June 2022 - August 2022)
Remote
Implemented an inventory management CRUD application leveraging AWS services. Orchestrated requests via API Gateway, established ECR for containerized function deployments, and utilized DynamoDB for robust database management.
Developed a real-time market analysis tool, processing data with Pandas and NumPy within Lambda functions.
Leveraged React.js, Redux, RTK Query, and react-apex-charts for seamless data storage, retrieval, and visualization.