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AI + Product + Engineering

Hi, I'm Bruce

AI Product Developer, Product Manager, and Software Engineering Graduate Student

I'm Bruce Cheng, a mid-level AI product developer and product manager with a strong background in building AI-driven conversational solutions. I'm currently pursuing my M.S. in Software Engineering at Carnegie Mellon University, Silicon Valley.

Conversational AI Product Strategy Full-Stack Delivery ML-Driven Experiences

Experience

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Work

Helport AI

AI Product Developer / Product Manager

Sep 2024 - Jun 2025

Led product strategy for an AI-driven call assistant and shipped major cost, accuracy, and delivery improvements.

FastAPI Gemini 2.0 Vertex AI A/B Testing

Helport AI

  • Led product strategy for an AI-driven call assistant, conducting client interviews and user research across mortgage, healthcare, insurance, and government sectors.
  • Designed and deployed an AI-powered dialogue flow system using FastAPI and a curated database, cutting average handling time by 35%.
  • Migrated intent matching from Google Dialogflow to Transformer + ID with Gemini 2.0 and Vertex AI, reducing costs 6 times from $0.002 to $0.00031 per match.
  • Partnered with engineering and R&D to align product vision with technical feasibility, reducing development time from 14 to 5 days.
  • Conducted A/B testing and performance analysis that improved AI model accuracy by 35% and boosted sales conversion by 15%.
Project

CMU 14-825

Research Assistant Agent

Jan 2026 - Mar 2026

Built a LangGraph-based research agent with RAG, multilingual querying, and scalable cloud deployment.

LangGraph RAG Streamlit GKE

Research Assistant Agent

  • Built a LangGraph-based AI agent with a RAG pipeline to answer questions from 30 indexed academic papers.
  • Developed a Streamlit web app for paper upload, multilingual querying, and context-grounded answers with references.
  • Deployed containerized services including the AI agent, translation API, and vector database on Google Kubernetes Engine with auto-scaling.
  • Implemented semantic retrieval using vector embeddings and compared indexing algorithms including HNSW, IVF_PQ, and DiskANN.
Work

Convoloo

Software Development Engineer Intern

Jul 2024 - Sep 2024

Built a medical chatbot with RAG retrieval, cloud infra, and booking support.

LangChain Terraform MySQL

Convoloo

  • Developed a web-based AI medical chatbot using FastAPI, LangChain, React, Google Gemini, and Google Cloud for 50+ disease identification.
  • Implemented RAG-based knowledge retrieval on secure cloud infrastructure using Terraform and MySQL, reducing response time from 2.5s to 1.5s.
  • Integrated Google Calendar API for appointment booking and improved UI/UX through iterative design reviews, enabling 50+ bookings during pilot testing.
  • Led backend integration with LangServe and LangGraph using FastAPI and NestJS, streamlining deployment and improving chatbot performance.
Project

CMU / BOSCH

Parking Spot Locator

Aug 2025 - Dec 2025

Vision-language parking search with semantic mapping and a faster backend query pipeline.

VLMap CLIP AWS

Parking Spot Locator

  • Built a Bosch-sponsored parking spot locator using vision-language models to identify parking availability from visual sensor data.
  • Implemented a VLMap-based pipeline combining RGB, depth, and pose data with CLIP embeddings for spatial reasoning.
  • Developed and deployed a FastAPI backend on AWS to support real-time parking queries and semantic search.
  • Optimized the semantic search pipeline, reducing parking availability query latency from 45s to 15s.
Project

Franklin Templeton

Capitawise

Mar 2024 - Jun 2024

Award-winning AI banking chatbot with better query resolution and faster service response.

GPT-4o React Flask

Capitawise

  • 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 and voice output, improving banking query resolution accuracy from 68% to 85%.
  • Designed a dynamic real-time UI/UX that boosted user engagement and retention during pilot testing.
Project

Franklin Templeton

PawPrints

Mar 2023 - Jun 2023

Blockchain medical data exchange with secure dashboards and faster API performance.

Web3 Express.js MySQL

PawPrints

  • Built a blockchain-based medical data exchange platform using React.js, Express.js, MySQL, Web3.js, and JWT authentication.
  • Implemented token-based on-chain record storage and role-specific dashboards for secure, permission-based access.
  • Optimized backend APIs to cut data retrieval time from 3s to <1s, improving overall platform responsiveness.

Resume

Professional Summary

Mid-level AI product developer and product manager with a strong background in building AI-driven conversational solutions. Delivered an AI call assistant that reduced average handling time by 35% and cut intent matching costs sixfold while guiding two full product cycles across finance and healthcare domains. Built a medical chatbot using FastAPI, LangChain, and Gemini that improved response speed by 40% and supported over 50 disease diagnoses. Seeking to apply product strategy and technical expertise to accelerate AI product innovation and drive measurable business outcomes.

Education

Carnegie Mellon University, Silicon Valley

Aug 2025 - Dec 2026

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

Coursework: Software Engineering, Foundation of Computer System, Functional Programming, AI in Industry, Gen AI in Practice, Machine Learning in Software Engineering

University of California San Diego

Sep 2021 - Apr 2025

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

Skills

Python C/C++ Java JavaScript Go Node.js React HTML CSS TypeScript Swift F# Flask Express.js FastAPI LangChain LangGraph LLM APIs Prompt Engineering RAG MySQL MongoDB AWS GCP Docker Kubernetes Git CI/CD Pandas NumPy Next.js Streamlit Socket.io Web3 FastMCP Milvus Orchestration TensorFlow Relational Database Testing Terraform Agile/Scrum A/B Testing Product Roadmap Planning User Research Market Analysis Figma

Work Experience

Helport AI

Sep 2024 - Jun 2025 ยท AI Product Developer / Product Manager

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 (6ร— 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 in March 2025 after building a data-processing pipeline with Pandas and NumPy that improved preprocessing efficiency.

Convoloo

Jul 2024 - Sep 2024 ยท Software Development Engineer Intern

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 RAG-based knowledge retrieval on secure cloud infrastructure using Terraform and MySQL, reducing average response time from 2.5s to 1.5s and improving answer relevance for follow-up questions.
  • Integrated Google Calendar API for appointment booking and enhanced UI/UX through iterative design reviews, enabling 50+ bookings during pilot testing.
  • Led backend integration of the chatbot with LangServe and LangGraph using FastAPI and NestJS, streamlining deployment and improving overall chatbot performance.

Projects

Research Assistant Agent | Project Code Demo | CMU 14-825

Jan 2026 - Mar 2026
  • Built a LangGraph-based AI agent with a RAG pipeline to answer questions from 30 indexed academic papers.
  • Developed a Streamlit web app for paper upload, multilingual querying, and context-grounded answers with references.
  • Deployed containerized services including the AI agent, translation API, and vector database on Google Kubernetes Engine with auto-scaling.
  • Implemented semantic retrieval using vector embeddings and compared indexing algorithms including HNSW, IVF_PQ, and DiskANN.

Parking Spot Locator | CMU/BOSCH

Aug 2025 - Dec 2025

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.
  • Developed and deployed a FastAPI backend on AWS to support real-time parking queries and semantic search.
  • Optimized the semantic search pipeline, reducing parking availability query latency from 45s to 15s through improved embedding retrieval and backend query processing.

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Capitawise (2nd Place, $7,000 Prize) | Franklin Templeton

Mar 2024 - Jun 2024

Led full-stack development of an AI-powered banking chatbot using GPT-4o, Node.js, Flask, and React.

  • Reduced customer service response time by 40%.
  • Implemented NLP-based query handling with text and voice output, improving banking query resolution accuracy from 68% to 85%.
  • Designed a dynamic real-time UI/UX that improved engagement and retention during pilot testing.

PawPrints (1st Place, $15,000 Prize) | Franklin Templeton

Mar 2023 - Jun 2023

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.

  • Implemented token-based on-chain record storage and role-specific dashboards for secure, permission-based access.
  • Optimized backend APIs to cut data retrieval time from 3s to <1s, improving platform responsiveness.

Hobbies & Interests

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Reading

Tech, philosophy, and personal growth.

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Gaming

Strategy and puzzle games.

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Travel

Exploring new places and cultures.

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Photography

Capturing moments through photos.

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Fitness

Running and staying active.

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Music

Discovering new music.

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Drawing

Sketching and visual art.

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Studying New Technology

Keeping up with new tech.

Artwork

Some of My Digital Art

Gwen-inspired artwork by Bruce Cheng
Sci-fi inspired artwork by Bruce Cheng

Personality

MBTI Snapshot

Campaigner (ENFP-A) with a creative, people-oriented profile.

MBTI personality test results screenshot showing Campaigner ENFP-A

Contact Me

Let's Connect

I'm always interested in hearing about new opportunities, collaborations, or just having a conversation. Feel free to reach out!

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Phone

858-305-0278

Send a Message