Gobind Singh Email & Phone Number

Diamond Bar, Ca, Us

Seattle, Washington, United States

- Implemented CRUD functionality for Scaling Law Experiments involving large language models (LLMs) using AWS Lambda, DynamoDB, and AWS OpenSearch, enabling scientists to easily test, manage, and gain insights from over 20 weekly AI experiments. This facilitated seamless management of LLM workflows.- Contributed to developing software used by ML scientists at Amazon to automate LLM tests, reducing manual setup times by 94% from 8 hours down to just 30 minutes. This software allows LLM experiments to be conducted faster and at a 8% higher accuracy rate by automating the process and leveraging real-time updates to adjust test parameters, avoiding human related mistakes. This improvement enabled rapid iteration and testing, accelerating experimentation cycles and the discovery of insights from LLM performance data.- Spearheaded the development of a scalable web-based production environment for real-time monitoring and visualization of Scaling Laws experiments for LLMs and allowed for semantic natural language searches using AWS OpenSearch and a pre-trained AI Model.

Berkeley, California, United States

- Contributed to the development and enhancement of a critical full-stack course scheduling platform,berkeleytime.com, used by over 20,000 Berkeley students, utilizing TypeScript and ReactJS.- Developed a parser for complex API data allowing readable grade distributions for 10,000+ courses, and used this to display course difficulty, leading to an 8% increase in user base and positive feedback from 85% of active users.- Leveraged GitHub for version control, promoting an organized development workflow that facilitated code integration between 12 technical team members to meet the evolving needs of both students and administrators.

Berkeley, California, United States

- Engineered an algorithm that queried over 60,000 crime incident reports from SFPD through an SQL based API, calculating a parking safety score for any location in San Francisco.- Developed a full-stack application, ShouldIParkHere, leveraging technologies like React, SQL, Google Maps API to provide real-time safety scores. The application processed data within a 2-second response for user queries.- Led a team of 4 students, dedicating 100+ hours to identify key factors contributing to the high rate of car break-ins in San Francisco, and presented our data-driven solution to a panel of 10 industry judges from leading companies such as BlackRock, GM, Google, and Microsoft, earning commendations for our approach

United States

- Spearheaded the conception and design of a blockchain protocol tailored for a decentralized media website, encompassing innovative governance protocols, utility frameworks, and tokenomics.- Developed a smart contract in Solidity to simulate a decentralized application (dApp) swap on a liquidity pool.- Conducted in-depth research on whitepapers of leading Decentralized Exchanges (DEXs), DeFi Yield Farms, and Web3 games to gain invaluable insights into the intricacies of building sophisticated financial products on Web3.

Los Angeles, California, United States

- Mobilized and fostered a team to address LA Metro’s critical problem of low ridership amongst teens with a given budget, especially in Line A,B, and C.- Conducted a survey of 150 people in target demographic to learn about causes of low ridership.- Completed over 300 hours of accumulative research, including contacting several LA Metro departments and examining the BART and other public transportation with higher teen ridership and presented our findings.- Selected personally by CEO of LA Metro, Stephanie Wiggins, to pitch our ideas at a board meeting discussing low ridership amongst teens.

- Trained by my mentor, Greta Villagran, to understand compliance rules, trade regulations, and technical requirements of global trade, specifically export and import between businesses.- Observed as Greta’s team implemented an SAP GTS framework which automates processes for international trades and assures compliancy with regulations for their biggest client, Intel.- Demonstrated my knowledge by attending meetings with Pinary’s clients, specifically Intel, BMW, Lockheed Martin, and IBM.

Bachelor'S Degree, Electrical Engineering And Computer Sciences

Transfer, Computer Science

Activities and Societies: Robotics Team, Computer Science Club

Education record

Activities and Societies: FIRST Robotics Programming Team, Brahma Tech Board, Teen Advisory Board