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Brian Ho

@brianho

I build scalable backends and AI-powered document understanding for real products.

United States
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What I'm looking for

I’m looking for a team where I can build production-grade backend platforms and apply AI (RAG/document understanding) to real workflows—paired with strong observability and engineering rigor, and room to iterate with product and data science.

I’m a Software Engineer with 8+ years of experience building scalable web applications, backend platforms, APIs, and data-driven product features across real estate, fraud prevention, marketplace, fintech, and consumer technology. I started in full-stack product engineering and distributed backend services, then expanded into ML-powered platforms and production AI applications.

At First American, I built AI document-understanding features for title and real estate workflows in AgentNet using Python, FastAPI, GraphQL, AWS, and Azure OpenAI. I implemented OCR and extraction pipelines with Textract, S3, SQS, ECS, and CloudWatch; integrated GPT-4o for structured extraction with JSON schema validation, confidence scoring, and fallback handling; and exposed provenance, confidence, reviewer edits, workflow status, and audit history via GraphQL. I also used OpenSearch for document search and context retrieval, added async processing for long-running jobs, and monitored AI workflows with CloudWatch and structured logs.

Previously at Sift, I engineered real-time fraud decisioning services and event-ingestion APIs using Java, Go, gRPC, REST, Kafka, PostgreSQL, Redis, and Kubernetes—enabling low-latency approval/block/step-up flows and analyst review workflows. Earlier, at Jobox.ai, I built marketplace backend features including an Elasticsearch-based search system and payment/integrations (Stripe, Twilio 2FA). I bring strong production instincts—observability, reliability, and system design—alongside hands-on AI integration (RAG, document understanding, evaluation, and prompt/version tracking).

Experience

Work history, roles, and key accomplishments

First American logoFA
Current

Software Engineer

Aug 2024 - Present (1 year 10 months)

Built AI document-understanding features for title and real estate workflows, integrating OCR/extraction pipelines and Azure OpenAI GPT-4o for structured field extraction with confidence scoring. Developed GraphQL APIs and OpenSearch-backed search/retrieval, and monitored AI workflows with CloudWatch and structured logs.

Sift logoSI

Software Engineer

Aug 2020 - Jan 2024 (3 years 5 months)

Developed real-time fraud decisioning services, event-ingestion APIs, and backend workflows for marketplace and e-commerce risk use cases using streamed customer events and low-latency caching. Built fraud-review APIs for analysts and added production monitoring for ingestion lag, scoring latency, and decision errors.

Jobox.ai logoJO

Software Engineer

Jobox.ai

Apr 2019 - Jul 2020 (1 year 3 months)

Built marketplace backend features including an Elasticsearch-based search system with filtering, ranking, pagination, and permission-aware visibility rules. Implemented payments and wallet workflows with Stripe and security features like Twilio-based 2FA with Redis-backed sessions.

Amazon logoAM

Software Engineer Intern

May 2018 - Jul 2018 (2 months)

Built a microservice for Alexa News to parallelize and diagnose media-processing jobs, improving reliability with retry and job-level error handling. Added logging and operational visibility to enable faster reruns of failed processing workflows.

Education

Degrees, certifications, and relevant coursework

University of California, Berkeley logoUB

University of California, Berkeley

Bachelor of Arts, Computer Science

2014 - 2018

Activities and societies: Volunteered with the Hepatitis B Project (Jan 2015–May 2015), helping create and maintain the project website and support patient education, screening, and vaccinations at a clinic in Oakland.

Earned a BA in Computer Science at UC Berkeley, with a specialization that combined Computer Science and Cognitive Science coursework.

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