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Jerry YangJY
Looking for a job

Jerry Yang

@jerryyang1

AI/ML engineer building cloud-native software and state-of-the-art LLM, GenAI, and agentic systems.

United States
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What I'm looking for

I want to build end-to-end AI platforms with Python frameworks and deep learning—shipping agentic AI systems with strong DevOps, reliable CI/CD, and real end-user experience improvements.

I’m a Full-Stack & AI/ML Engineer with 7+ years of experience building scalable, cloud-native software and implementing state-of-the-art LLM, GenAI, Agentic AI, and NLP systems. I focus on end-to-end delivery—turning ingestion, retrieval, reasoning, and structured generation into reliable products.

At Microsoft, I designed and implemented the Dreaming Worker pipeline to analyze uploaded audio, PDFs, markdown, and DOCX, generating structured “Moments” and “Dreams” through LLM-powered workflows. I built a multi-tenant content ingestion system with SeaweedFS S3-compatible storage, NATS JetStream, and PostgreSQL/TiDB, developed retrieval pipelines (chunking, embedding, search), and engineered agentic workflow patterns with Pydantic validation for schema compliance—enhancing developer experience with async I/O, structured logging, and streaming responses. Previously at Silicon Labs, I supported ML/NLP and data engineering for decision-support workflows, contributed to a legal and financial document Q&A system using retrieval/summarization/structured response flows, and scaled distributed backend systems to 20,000 daily active users while improving request latency and throughput by 20–40% through refactoring, caching, and query optimization.

Experience

Work history, roles, and key accomplishments

Silicon Labs logoSL

Backend & AI Developer

Jul 2020 - Jan 2022 (1 year 6 months)

Built backend systems combining ML, NLP, retrieval, and summarization to support financial analysis and document-based Q&A. Developed and scaled microservices, dashboards, and cloud-based ML workflows to support internal decision-support and analytics.

Samsung Electronics logoSE

Software Developer

Jun 2019 - Aug 2019 (2 months)

Supported ML engineering and data pipeline development for research analytics and document indexing workflows. Built NLP-based modeling and search components using AWS and Elasticsearch/OpenSearch, and supported backend services and automation.

Education

Degrees, certifications, and relevant coursework

The University of Texas at Austin logoTA

The University of Texas at Austin

Bachelor of Science, Computer Engineering

Earned a B.S. in Computer Engineering from The University of Texas at Austin, graduating in 2020.

Availability

Looking for a job

Location

United States

Authorized to work in

Salary expectations

120k-140k USD

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