John Wang
@johnwang
Senior software engineer specializing in scalable, AI-driven full-stack systems.
United StatesWhat I'm looking for
I am a senior software engineer with deep experience building full-stack, cloud-native, and AI-driven applications for platform-scale environments. I design and operate distributed systems, real-time services, and high-performance web applications used by millions, with strong ownership and mentorship focus.
At Bilberrry I led development of multiple AI-enabled, multi-tenant web platforms, built backend services in Node.js and Python, and integrated ML/AI pipelines for content generation and semantic search while maintaining low latency and high availability. Previously at Uber and Microsoft I designed Kafka-powered event pipelines, global cloud services, and robust REST/gRPC APIs, improving performance, reliability, and observability across large-scale systems.
I excel at combining backend and frontend expertise (Java, Python, Go, React, TypeScript) with cloud and DevOps practices (AWS, Azure, Terraform, CI/CD) to deliver secure, maintainable, and performant products. I seek roles where I can drive technical strategy, mentor teams, and deliver impactful, customer-focused systems.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Bilberrry
Sep 2023 - Present (2 years 4 months)
Led development of 8+ AI-enabled, multi-tenant web platforms supporting 100K–180K MAU with strict data isolation and RBAC, achieving 99.9% uptime and reducing release time by 40%. Built backend services (Node.js, Python) handling 120K–200K requests/day and AI pipelines with p95 latency <400ms under peak load.
UBSenior Software Engineer
Uber
Feb 2019 - Aug 2023 (4 years 6 months)
Designed and operated real-time, event-driven backend systems supporting 5M+ daily sessions and Kafka pipelines processing 10M+ events/day, improving p95 latency ~20% and reducing duplicate processing/billing errors by 40%. Implemented WebSockets for sub-500ms end-to-end trip updates and participated in on-call rotations for high-availability services.
MIDesigned and operated globally distributed cloud services across Azure regions serving millions of users, improving throughput by 30% and reducing incident detection time by 40% through observability and CI/CD improvements. Led protobuf/gRPC versioning and migrated legacy workloads to modern Azure services, cutting operational costs by 25%.
Education
Degrees, certifications, and relevant coursework
UPUniversity of Pennsylvania
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor of Science program at the University of Pennsylvania from 2010 to 2014.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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