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Homen Shum

AI Engineer | Multi-Agent Systems, RAG, and Workflow Automation | Ex-JPMorgan | Building CaféCorner – AI Search & Profile Discovery for Events, Creators & Vendors | Python, TypeScript, LLMs, Pinecone, Azure | Founder

United States
500+ connections
Homen Shum on LinkedIn

Updated 1 month ago

4+

Years Experience

7

Roles

31

Skills

2

Education

About

AI Engineer & Technical Founder with deep experience in LLMs, multi-agent systems, and real-world AI product delivery. I specialize in building production-grade generative AI, RAG pipelines, and autonomous agents—driving impact across healthcare, finance, and e-commerce. Career Highlights: Generative AI & LLMs: Building with LLM APIs and generative tools since 2022. Launched CelebrityVoiceAI.com (GPT-3, Flask) to replicate celebrity speech patterns using vector search and real-time chatbot memory. Cybersecurity & Semantic Search: Won 2nd place at the Nuharbor Cybersecurity Hackathon (2023) for developing a GPT-powered semantic alert pairing engine, achieving 86%+ cross-vendor accuracy. Healthcare AI: Led FluencyMed to top-25 at the UC Berkeley AI Hackathon—real-time transcription and medical code mapping (CPT/ICD) using RAG. Became technical co-founder at CosmaNeura, launching a HIPAA-compliant clinical automation platform on Azure. AI in Finance: Architected LLM-powered automation for JPMorgan’s healthcare banking division—reducing data processing for 2,000+ companies from two weeks to 30 seconds using GPT, LlamaIndex, and Pydantic. Multi-Agent & RAG Systems: Currently building ParselyFi and CaféCorner—multi-agent platforms integrating web search, document ingestion, and structured report generation for business, medical, and event discovery use cases. Recent AI Web Apps: Medical Code Search & Report Generation Patient Screening Chat & Report Generation Auto Shop E-Commerce RAG Chat App Prospecting Assistant App Let’s connect if you’re passionate about AI agents, LLM workflows, or scaling real-world automation!

Experience (7 roles)

Meta · Contract

AI Implementation Engineer

Current

Meta · Contract

Nov 2025 - Present · 4 mos·Menlo Park, California, United States · Hybrid

Product Quality & Experiences (PQX) Stack: LangGraph, MCP, Evaluation Infrastructure, Mobile Device Control Designed the agentic architecture and evaluation strategy for Meta's "Manual Test Case Generation" and "Self-Adaptive UI/UX Testing" agents, serving the Family of Apps (IG, FB, WhatsApp). Bu...

Tests Assured · Full-time

AI Implementation Engineer

Current

Tests Assured · Full-time

Nov 2025 - Present · 4 mos·Fremont, California, United States · On-site

Leading the implementation of a multi-agent QA orchestration system for enterprise-scale mobile automation. • Architected a hierarchical agent system (Coordinator + Sub-agents) using advanced LLMs (Claude 4.5 Sonnet & Haiku) to handle complex testing workflows. • Utilized the OAVR (Observe-Act-Veri...

CafeCorner · Full-time

Founder & Lead AI Engineer

Current

CafeCorner · Full-time

Dec 2022 - Present · 3 yrs 3 mos

Building NodeBench AI, a production-grade research platform featuring "Deep Agents 2.0" architecture with code-enforced invariants. • Engineered a hybrid search engine combining Vector Search (OpenAI) and BM25 with a claim-based Knowledge Graph for high-precision information retrieval. • Developed ...

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Education (2)

UC Santa Barbara

UC Santa Barbara

2020 - 2021

Cooperated with professors on personal project, recommended by 2 professors and a graduate student assistant on leadership and communication skill Market research for Beyond Meat Company on meatball product and ready-meal product, designed and advertised Beyond Meatball in a presentation in front of professors and elite students CAPSIM 1st Place - Achieved most profitable company competing against AI and 4 other teams; developed basic 5 year strategic forecast with Excel data import

Financial Edge Training

Financial Edge Training

Jun 2021

Skills (31)

AI Engineering

LlamaIndex

Database

Supabase

Developer Relations

LinkedIn

DevOps

DockerAzureAWS

Frontend

TypeScript

Other

Model Context Protocol (MCP)Retrieval-Augmented Generation (RAG)EvaluationLLM Prompt Engineering & Chain-of-ThoughtFull-Stack TypeScript DevelopmentSystem Architecture & DesignLarge Language Model Operations (LLMOps)Large-scale Data AnalysisUser Experience (UX)Vector DatabasesPostgreSQLAmazon Web Services (AWS)Cloud ComputingDeep LearningAWS SageMakerReinforcement LearningAutomationProspect ResearchRetrieval-Augmented Generation (RAG) SystemsAutonomous AI Agents & WorkflowsEvent GridVaultNode.jsReact
Languages (2)
English(Professional working proficiency)Chinese(Native or bilingual proficiency)

Frequently Asked Questions

What is Homen Shum's current role?
Homen Shum is currently working as AI Implementation Engineer at Meta · Contract.
Where did Homen Shum study?
Homen Shum studied Certificate, Business Administration and Management, General at UC Santa Barbara. They have 2 education entries on their profile.
What skills does Homen Shum have?
Homen Shum's top skills include Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Evaluation, LLM Prompt Engineering & Chain-of-Thought, Full-Stack TypeScript Development. They have 31 skills listed on their profile.
Where is Homen Shum based?
Homen Shum is based in United States.

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