Software Engineer | MS Software Engineering @ SJSU | 3x Hackathon Winner

Passionate about building quality software solutions end-to-end. Hope you find something I've made interesting to you!

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Featured Projects

Experience

Software Engineering Intern

June 2022 - Aug 2022

Kaiser Permanente

  • Abstracted multi-step Splunk log analysis workflows into reusable macros and conditional panels; integrated regional error breakdowns via dynamic pie charts to cut incident triage time for 1000+ Pharmacy IT staff.
  • Implemented parameterized SPL queries and reusable macros to trace cascading error origins across log hierarchies, reducing search latency by 70% across 100k+ daily log entries.
  • Designed cross-system Splunk dashboards monitoring error rates, latency spikes, and system dependencies; surfaced performance bottlenecks in pharmacy's Rx ordering system.
SplunkSPLDashboard DesignLog Analysis

Hackathon Wins

Iris

2nd Place - Crater Play Do Track

Cal Hacks 12.0

October 2025

  • Built an AI-powered voice assistant for visually impaired users, integrating OpenAI Vision API for real-time scene analysis and Hume AI for empathetic voice responses with emotional intelligence.
  • Developed Flask backend processing camera feeds and coordinating between computer vision, LLM inference, and text-to-speech services to deliver contextual audio descriptions within 2 seconds.
  • Implemented ElevenLabs voice synthesis for natural-sounding audio feedback, creating an accessible interface that responds to voice commands and environmental queries.
  • Won 2nd place in Crater Play Do track out of 111 teams at Cal Hacks 12.0.
Next.jsFlaskPythonOpenAI APIHume AIElevenLabs

MEDIdata

3rd Place - Fetch.ai Track

HackMIT 2025

September 2025

  • Led a team of 4 to develop a secure multi-agent diagnostic system (uAgents + ASI:One LLM), creating 5 specialized agents that analyze patient data while maintaining HIPAA compliance through data minimization.
  • Engineered multi-agent workflow where specialized agents analyze different patient data segments in parallel, then collaborate to produce comprehensive diagnostic assessments with confidence scoring.
  • Won 3rd place in Fetch.ai track at HackMIT 2025, demonstrating practical application of multi-agent systems in regulated healthcare environments.
uAgentsASI:OneFastAPIMongoDBNext.js

HireSense

Best Use Case of Interoperable Agents

UC Berkeley AI Hackathon (CalHacks)

June 2025

  • Led a team of 4 to develop a multi-agent hiring system (uAgents + ASI:One LLM) with task-specific agents for parsing resumes, analyzing job descriptions, and determining hire/no-hire outcomes through structured LLM agent debate rounds.
  • Deployed a WebSocket layer for streaming debate messages across agents and frontend with <200ms latency, enabling real-time hiring decision visibility.
  • Won Fetch.ai Best Use Case of Interoperable Agents out of 350+ teams at UC Berkeley AI Hackathon (CalHacks).
uAgentsASI:OneSupabaseWebSocketsPython