Software Engineer & Applied AI Enthusiast | MS Software Engineering @ SJSU
- 🎓 MS in Software Engineering (Data Science specialization) at San Jose State University, graduating May 2026
- 🐻 BS in Computer Science from UC Riverside
- 🤖 Building LLM systems, RAG pipelines, and full-stack apps
- 🔭 Currently exploring agentic tool orchestration and multi-source retrieval systems
- 🌱 Interested in applied AI, distributed systems, and mobile/web development
- 💬 Ask me about LangChain, RAG architectures, or full-stack microservices
Languages
Frameworks
AI / ML
Data Science
Cloud / DevOps
Databases
Python LangChain FAISS OpenAI API
- Architected an LLM-based agent system with tool orchestration, multi-source RAG, and query planning to answer SJSU course planning and degree audit questions
- Built a dynamic tool-routing pipeline for selecting between database queries, retrieval systems, and constrained web search
- Benchmarked Qwen 1.7B vs 14B models, surfacing latency/quality tradeoffs (20–30s vs 60–100s inference)
- Designed secure tool-scoped data access to prevent leakage of sensitive student information under adversarial prompts
Python Node.js React Native PostgreSQL FastAPI
- Architected a full-stack microservice carpooling platform for SJSU students spanning 11 independent services (matching, routing, payments, real-time safety monitoring)
- Implemented a three-stage rider-driver matching pipeline (PostGIS proximity filtering + heterogeneous network embeddings + weighted cost function), achieving 84%+ match accuracy across 100-driver candidate pools
- Engineered real-time safety monitoring that detects route deviations and speed anomalies via live GPS vs. planned route polylines, triggering automated alerts
📫 Reach me at tojohnny1559@gmail.com