01 / About
Who I Am
University of Michigan
B.S.E. Computer Science Β· Minor: Mathematics
I'm a computer science student at the University of Michigan College of Engineering, expected to graduate in December 2026. I care deeply about building systems that are reliable, fast, and built to scale, from distributed workflow engines to full stack product experiences.
Outside of engineering, you'll find me watching Formula 1, stargazing, or playing GeoGuessr.
Coursework
Interests
3.91
GPA
5+
Internships & Roles
4+
Projects Shipped
Dec '26
Graduation
Awards & Honors
Angell Scholar
Top academic honor at UMich
Branstrom Prize
Top 5% of freshman class
Shipman Scholarship
Merit-based engineering award
Tau Beta Pi
Engineering Honor Society
02 / Experience
Where I've Worked
Databricks
IncomingSoftware Engineering Intern
May 2026 β Aug 2026
San Francisco, CA
Starting May 2026
Software Engineering Intern β Workflows & Automation Platforms
May 2025 β Aug 2025
San Francisco, CA
- Designed an asynchronous execution framework in Go for Temporal workflows using futures and local activities for LLM use cases, cutting workflow blocking time by 70% for 5 developer teams, scaling growth and safety for 1,000 customers.
- Developed external completion mechanism enabling workflows to pause execution and be completed externally by a GraphQL API call to a gRPC service, allowing LLM tasks to be reviewed by humans without blocking workflows.
Founding Software Engineer
Jan 2025 β Present
Los Angeles, CA
- Built the full-stack e-commerce platform using Next.js and React TypeScript, enabling a market of 40M+ solopreneurs to launch shops in under 2 minutes β a 98% reduction in setup time compared to Shopify or Squarespace.
- Integrated responsive UI components, Firebase backend services, and AI content management with RESTful APIs, implementing real-time data synchronization and SendGrid notification systems.
Next Play Games
Full Stack Software Engineer
Jun 2024 β Apr 2025
San Francisco, CA
- Engineered scalable REST API features in TypeScript and Node.js, implementing PostgreSQL-backed data retrieval, Postman for API testing, and optimizing Docker containerization β reducing deployment times by 30%.
- Architected a CI/CD strategy with GitHub Actions, automating testing and continuous deployments to boost release frequency by 40% and cut integration issues by 25% across staging and production.
Web Developer & Business Analyst
Feb 2024 β Present
Ann Arbor, MI
- Led 6-member team in development of club website (meg-consulting.org), built with ReactJS and deployed to Cloudflare; implemented real-time event updates driving 25,000 annual visitors.
- Proposed a market expansion strategy for a Chicago-based Indian fusion startup into 10 new retail channels and a VC financial model to support investor pitching and 5-year growth planning.
03 / Projects
Things I've Built
Mini Copilot
Productionized a GPT-2 code autocompletion model with a versioned, API-based inference service on GCP integrated into a VS Code extension. Built ML lifecycle infrastructure including model versioning, rollback, and inference logging.
- βΈShared training/inference feature logic with observability for latency and errors
- βΈModel versioning, rollback, and inference logging for safe production iteration
Real-time computer vision AI for emotion tracking and speech pattern detection, enhanced by NLP and Groq machine learning models with lazy loading for optimized audio-video processing.
- βΈIntegrated advanced data pipelines and emotion recognition APIs
- βΈScalable Flask & Streamlit web platform with lazy-loaded audio/video processing
Instagram Clone
Full-stack Instagram clone with user authentication, post management, likes, and comments via RESTful APIs with proper HTTP status codes, secure sessions, and SHA-512 password hashing.
- βΈSecure session management with SHA-512 password hashing
- βΈFull CRUD operations for posts, likes, and comments
MapReduce
MapReduce framework in Python using TCP/UDP sockets, JSON-based messaging, and multi-threaded coordination between Manager and Worker processes for distributed data processing with fault tolerance.
- βΈFault-tolerant worker coordination with JSON-based messaging
- βΈManager/Worker architecture with heartbeat monitoring
04 / Skills
Tech Stack
Languages
Frontend & Backend
Data & ML
Infrastructure & DevOps
and always learning more_