Hayward, California, United States
Classification and Policy Platform Some important AI/ML stuff 🤯
Catalyst Center LLM-Based Development Team (Master's level intern, 3 Agentic projects) Agentic Documentation Generator: Accelerated onboarding and adoption of 360+ microservices by automating LLM-focused documentation generation using Agents, state of the art MCP tools and Enterprise GitHub integration Streamlined and scaled operations to support 100+ daily invocations by designing code release-triggered documentation generation and updates workflows with GitHub webhooks, Kubernetes, and Jenkins Pipelines. Agentic Service Discovery Curator: Enabled high precision, agent led root cause analysis by engineering an agentic workflow that recursively parses YAML and Helm manifests to extract code repositories and subsequently transform complex inter-service dependencies into a structured Neo4j topology for specialized retrieval and analysis. Agentic Code Scanner: Automated a Claude-based agentic workflow to detect code deficiencies and recommend state of the art solutions to repository owners/contributors. Integrated the system with Jenkins, enabling automated scans across numerous repositories and resolving 3 defects during the last few days of my internship period.
Traffic Engineering Team Designed and shipped a production system to securely SSH into various AWS hosts using internal credentials and minimal host information, remotely execute diagnostic commands, and upload results to Amazon S3 for troubleshooting and analysis. Automated support across 600+ annual trouble tickets by building a self-improving RAG Lambda function invoked by ticket event triggers to retrieve uploaded data and generate GenAI-powered self-service suggestions/diagnostics Reduced cognitive burden for hundreds of engineers and customers by designing an internal API protocol that integrates with ticketing systems, enabling real-time AI diagnostics of collected data with no user input in under 5 minutes
Facilitated job opportunities for over 1,250 students and new graduates by developing an online platform tailored for entry-level positions Enhanced user experience with expert resume analysis and job matching, leveraging API calls to an AI engine that utilized data and trends from over five advanced talent acquisition sources Maintained data accuracy and timeliness by scraping 20,000+ job listings weekly and engineering backend functionalities using Azure, Python, and MongoDB Designed a user-centric, intuitive interface by implementing frontend features such as job display cards, search functionality, and a navigation bar with JavaScript, HTML, and CSS
Engaged 200,000+ unique users with an enjoyable gaming experience while sustaining an average of 25-minute gameplay sessions and consistently maintaining 5-10 active players online across the games I developed Enhanced client satisfaction by initiating and engineering innovative video game concepts, using complex game systems and industry-standard programming languages to ensure optimal performance Simultaneously managed and delivered improved functionality across 20+ games, rapidly deploying updates to clients and enhancing their overall gaming experience Accelerated time to market for feature releases by weeks, ensuring alignment with the Game Design Document blueprint