Hi, I'm Bruce

Master of Science, Software Engineering (GPA: 3.5) | Mountain View

Coursework: Software Engineering, Foundation of Computer System, Functional Programming, AI in Industry

Bachelor of Science, Mathematics-Computer Science (GPA: 3.6)

Coursework: Software Engineering, Design & Analysis of Algorithms, Advanced Data Structures, Computer Systems, Parallel Computing, Computer Security, Online Database Applications, Recommendation Systems, Computer Vision

Led product strategy for an AI-driven call assistant across mortgage, healthcare, insurance, and government sectors, guiding 2+ end-to-end product cycles from discovery to launch.

• Designed and shipped an AI-powered dialogue flow system using FastAPI and a curated knowledge base, cutting average handling time by 35%.
• Redesigned the intent-matching and recommendation engine, migrating from Google Dialogflow to Transformer + ID with Gemini 2.0 and Vertex AI, reducing per-intent cost from $0.002 to $0.00031 (6× cheaper).
• Partnered with engineering and R&D to define technical requirements and manage agile sprints, reducing feature development time from 14 to 5 days.
• Ran A/B tests and analytics that improved AI model accuracy by 35% and increased sales conversion by 15%.
• Promoted from intern to full-time AI Product Developer after building a data-processing pipeline with Pandas and NumPy that significantly improved preprocessing throughput.

Built production-ready features for a web-based AI medical chatbot, focusing on performance, reliability, and patient experience.

• Developed a FastAPI + LangChain backend with Google Gemini and Google Cloud to accurately identify 50+ common diseases from patient queries.
• Implemented a RAG-based retrieval pipeline and optimized infrastructure, cutting average response time from 2.5s to 1.5s.
• Integrated Google Calendar API to power appointment booking, enabling 50+ successful bookings during pilot testing.
• Led backend integration with LangServe and LangGraph, improving deployment workflows and chatbot reliability.

Built a Bosch-sponsored parking spot locator using vision-language models to semantically identify parking availability from visual sensor data. Implemented a VLMap-based pipeline combining RGB, depth, and pose data with CLIP embeddings for spatial reasoning.

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Led full-stack development of an AI-powered banking chatbot using GPT-4o, Node.js, Flask, and React, reducing customer service response time by 40%. Implemented NLP-based query handling with text/voice output, improving banking query resolution accuracy from 68% to 85%.

Built a blockchain-based medical data exchange platform using React.js, Express.js, MySQL, Web3.js, and JWT authentication to securely connect pet owners, clinics, and insurers. Optimized backend APIs to cut data retrieval time from 3s to <1s.