Chris Wang
@chriswang
Senior Software Engineer building scalable, AI-powered web platforms with a focus on performance, cost, and great UX.
United StatesWhat I'm looking for
I’m a Senior Software Engineer with 8+ years building scalable, high-impact web and AI-powered applications across Perplexity, Meta, and Robinhood. I take strong end-to-end ownership, collaborating cross-functionally to turn complex requirements into production-ready solutions.
At Perplexity, I led development of an AI Answer Engine platform using RAG pipelines with LangChain and OpenAI APIs, improving answer accuracy by ~30% and reducing latency by ~25%. I also designed and productionized an LLM orchestration layer (prompting, response post-processing, and structured output validation), reducing hallucination rates by ~40% while improving response consistency across edge cases.
Earlier at Meta and Robinhood, I built high-throughput backend services and APIs for large-scale event processing, reducing p99 latency by 40% and improving deployment velocity by 3x after migrating to microservices. I pair solid distributed-systems and API architecture skills with practical full-stack delivery—React/TypeScript, cloud-native AWS infrastructure, and performance/cost optimization—so teams can ship reliable user-facing products at scale.
Experience
Work history, roles, and key accomplishments
Led end-to-end development of Perplexity’s AI Answer Engine platform, improving answer accuracy ~30% and reducing latency ~25% using RAG with LangChain/OpenAI APIs. Built scalable retrieval/ranking and orchestration services, delivered React/Next.js UI, and deployed AWS (EKS/Lambda) infrastructure, reducing infrastructure costs ~20–25%.
Built backend services for Meta’s Ads Delivery Optimization platform processing billions of events/day, reducing p99 latency by 40%. Designed high-throughput APIs and real-time analytics pipelines on AWS, migrated legacy systems to microservices (3x faster deployments), and improved release reliability via CI/CD and automated testing (50% fewer rollbacks).
Shipped core trading interface features for Robinhood’s retail investing platform, improving UI responsiveness and boosting engagement across high-traffic workflows. Developed reusable React/TypeScript component libraries and design system patterns, and supported backend APIs with Python/Django using unit and integration testing to reduce regressions.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Science, Computer Science
2013 - 2017
Bachelor of Science in Computer Science at the University of California, Berkeley from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Website
wchris.devSalary expectations
Social media
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