- Full Stack Machine Learning Software Engineer Intern at Apple
- Nvidia GPU Cloud Deep Learning Enterprise Solutions Intern at NVIDIA
University of California San Diego, Bachelor’s degree, CSE (Computer Science Engineering)
Founded to build native mobile and web party game platform similar to jackbox. Creating an iOS application in SwfitUI and Android application in Java. Alternative front end also written for web clients using Vue.js. Backend written in Node.js on serverless lambdas hosted on Zeit. Mongodb database queries written in Graphql through Apollo. Leveraging live game features through socket.io websockets and real time updating.
June 2019 – September 2019(3 months)Sunnyvale, California
Created backend media storing service using S3 database in node.js coupled with Enterprise level frontend implemented in Vue.js and styling in Sass. Created rest API for its mongo database and backend algorithms through Express routing. Created a proof of concept back end stack with full time employees built on Elixir’s Phoenix, graphQL, and mongo. Got second place in intern hackathon. Used Keras on Tensorflow to create Multi Language Natural Language Processing models through transfer learning on XLnet and BERT. Service allowed users to create on demand NLP models from given utterances that was then returned through the UI. Conducted R&D for zero shot inferencing on foreign language models.
September 2018 – December 2018(3 months)Santa Clara, California
Nvidia Enterprise Support for DGX deep learning frameworks hosted and managed on Nvidia GPU cloud.
February 2018 – September 2018(7 months)Greater San Diego Area
Bachelor’s degree, CSE (Computer Science Engineering)
2017 – 2020
Skills & Expertise
- React Native
- ARM Assembly
- Android Development