Jeff Gong
@jeffgong
Senior full-stack engineer building scalable, real-time applications across cloud-native systems.
United StatesWhat I'm looking for
I’m a senior full-stack engineer with 10+ years building scalable full-stack applications across FAANG-scale platforms, fintech data systems, and startup 0→1 products. I bring deep experience spanning React frontends, Node.js/Python backends, and cloud-native architectures that handle high-stakes data integrations.
In healthcare-adjacent EHR pipelines and real-time systems, I’ve re-architected legacy internal APIs and built new integration layers feeding hospital EHR/EKG data into clinical analytics platforms. I designed and implemented real-time data pipelines syncing patient records with EHR systems, achieving sub-second latency and 99.9% uptime for clinical workflows.
I also focus on reliability and iteration speed. At Bluefin LLC, I hardened observability with distributed tracing and monitoring, reducing incident resolution time by 60% while supporting rapid iteration cycles, and I shipped serverless AWS functions to validate new AI feature MVPs. I integrate third-party AI services through secure API gateways and data validation layers aligned to healthcare standards.
Before that, I developed internal tooling and policy-enforcement data pipelines at Meta at billions-of-users scale, and I’ve served as a founding engineer building a complete event-management SaaS from 0→1—delivering event lifecycle, billing, and ops dashboards with React and Node.js. Earlier, at Twitch, I contributed to live video infrastructure, optimizing transcoding pipelines and building low-latency delivery systems using scalable backend services.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Bluefin LLC
Jul 2024 - Present (2 years)
Re-architected internal APIs and built Node.js/Python microservices powering real-time hospital EHR/EKG data pipelines into a clinical analytics platform. Built React-based analytics dashboard components, hardened observability with distributed tracing/monitoring, and deployed AWS serverless functions to accelerate AI feature validation.
Developed internal reviewer tooling and policy-enforcement data pipelines at large scale using Python and distributed systems. Built real-time processing components for content moderation workflows, and refactored backend services to improve observability and reliability across data ingestion layers.
Founding Software Engineer
Privado Dining
Nov 2022 - Nov 2023 (1 year)
Solely built an event-management SaaS from 0→1, delivering event lifecycle, billing, and ops dashboards using React and Node.js. Designed scalable backend APIs and database schemas on AWS, implemented CI/CD practices, and added third-party integrations with real-time notifications.
Built financial data pipelines and repayment APIs for loan servicing using Python and Node.js, including real-time authorization and ledger reconciliation for partner-bank integrations. Developed backend services and frontend components for AutoPay scheduling and optimized AWS-based architectures for secure, resilient operation.
Contributed to live video infrastructure by benchmarking and optimizing transcoding pipelines for millions of concurrent viewers. Implemented adaptive streaming and low-latency delivery systems, and built Python-based data processing layers for VOD packaging and archival at massive scale.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Arts, Computer Science
Activities and societies: Theta Tau Professional Engineering Fraternity; IEEE; Blueprint (UC Berkeley, 2016–17) rebuilt Data 8 JupyterHub on Kubernetes with autoscaling and Google Drive integration; open-source work with Zynga; Software Engineering Intern (Summer 2015) benchmarked Apache Kafka for event streaming and built game-rankings visualization.
Earned a B.A. in Computer Science from the University of California, Berkeley (2017). Participated in engineering organizations and campus projects, including work on Data 8 JupyterHub.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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