In my internship at Random Labs in the San Francisco Bay Area, I engineered a Rust library to parse ASTs in 11 languages, enabling advanced code navigation features. I also pioneered a Neo4j-Python technique to transform Code Graphs into Knowledge Graphs, achieving top performance in code comprehension and bug fixing benchmarks.Their YCombinator page- https://www.ycombinator.com/companies/random-labs

• Secured $100,000 in seed funding to develop the first AI-powered EdTech Platform, leading to successful pitch and partnership with Georgia Tech Courses.• Managed cross-functional team using Agile methodology to engineer a web-based IDE with secure Docker-based code execution and AI-powered tutoring.• Architected and deployed a scalable EdTech platform featuring 35 diverse courses using React, TypeScript, AWS, and Terraform.

During my Software Engineering Internship at Rentful, I contributed to transforming the rental process for students and landlords. Rentful’s innovative platform simplifies rental applications by allowing students to submit one application to apply to multiple properties, streamlining the process for landlords as well.In my role, I supported the development of both enterprise and customer-facing websites using React, Next.js, and TypeScript, working with SQL databases and AWS infrastructure. I also integrated authentication through next-auth and implemented AWS S3 for secure image storage and efficient retrieval APIs.Collaborating closely with a freelance UI designer, I helped bring Figma mockups to life, iterating based on user feedback. I contributed to developing our MVP, conducting customer research to ensure the platform’s functionality met user needs, and participated in creating a seamless, user-friendly experience that enhances the rental process for all involved.

Crafted cross-platform features using React Native, Node.js & MongoDB. Developed a scrollable class timetable creator, collaborative study group scheduler, and Spotify-integrated Pomodoro timer. Used and optimized REST-API.Implemented sync-fetch loop with WebSockets, eliminating server wait times and slashing user-side latency by 90%

• Engineered a fault-tolerant, high-throughput pipeline processing millions of events hourly on AWS using Spark, Kafka, Redis, and Lambda, achieving 99.99% uptime.• Developed a test generation tool increasing test coverage by 40% through random XML doc creation from XML Schema.• Contributed to migrating 5 critical microservices to Kubernetes, simplifying service isolation and scaling for a 3x increase in traffic handling.