Hi there! I'm Khang - a junior Computer Science student at Florida International University and passionate about Software Engineering and Machine Learning. I strive to create lasting impact in my community and inspire others to pursue their own journeys of curiosity and growth. Previously, I interned at State Farm as a Software Engineer, contributing to the Policy View team by building and improving software solutions for millions of users. Currently, I’m expanding my Software Engineering + Machine Learning knowledge through research and hands-on projects. :D
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Applied Research Center – FIU - Undergraduate Research Assistant (Mar 2026 – Present)
- Architected a vLLM-powered summarization pipeline that reduced technology article creation time from 5 days to 10 minutes.
- Developed a FastAPI service using vLLM to convert Markdown summaries into structured JSON, reducing production failures by 15%.
- Contribute to full-stack research applications including D&D KM and FAICE, supporting knowledge management and workflows for 40+ researchers.
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INIT FIU – AI/ML Technical Lead (Dec 2025 - Present)
- Led AI/ML workshops using Google Colab and Notion, creating hands-on machine learning labs and technical learning resources to improve accessibility of advanced AI concepts to students.
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State Farm - Software Engineer Intern (May 2026 - Aug 2026)
- Engineered an AI-powered CLI using Python, AWS Bedrock, and OpenSearch to unify GitHub Copilot and Claude Code context, building a two-stage RAG pipeline that improved retrieval precision by 25% with <500ms latency.
- Migrated enterprise CA certificates using Terraform and AWS Lambda, leveraging CloudWatch monitoring to maintain zero downtime for infrastructure supporting 96M+ policies ahead of a critical security deadline.
- Developed a Kentucky-specific auto insurance coverage feature using Angular and TypeScript, implementing state-specific business rules to support policy management for 730K+ active auto policies.
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State Farm - Software Engineer Intern (May 2025 - Aug 2025)
- Led initial development of a multi-agent testing application using the OpenAI API, RAG, and vector databases, automating 80% of UI testing and reducing manual QA time by 30 minutes.
- Optimized GitLab CI/CD pipelines by parallelizing automated test suites across policy coverage types (auto, fire, home), reducing deployment delays by 10 minutes.
- Enhanced REST APIs with AWS Lambda fallback strategies and refactored 30+ unit tests, improving reliability for services supporting 1M+ policies.
- VPay: a voice-activated, cardless payment system that lets users make secure purchases using only their voice. Built at ShellHacks 2025 in 36 hours, it helps anyone who forgot their wallet or phone and increases accessibility for users with disabilities.
- Cardvantage: Chrome extension that recommends the best credit card for each purchase using Google Gemini API. Built an AI-powered backend that analyzes merchant categories, caches results for performance, and delivers instant recommendations tailored to a user’s card wallet.
- DuelDot: A real-time 2D multiplayer shooter game built with Node.js, Express.js, and Socket.IO — developed backend features for game state sync, leaderboard logic, and minimap rendering.
- GhostB: Financial management app with FastAPI, SQLAlchemy, and Scikit-learn — includes an ML-based expense classifier and a psychological spending system for smarter budgeting.
- OpenAI Agent SDK: Structured Google Colab notebooks for advanced AI workshops, introducing developers to the OpenAI Agent SDK, covering setup, building agents, and integrating LLM-powered workflows into real-world applications.