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Vetted Software Engineers in the Bay Area
Pre-screened and vetted in the Bay Area.
Aditya Gupta
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Screening
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Gupta
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Twine
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Test
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Anothertest
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Second
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Gupta
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Anothermanual
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya TwineManual
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Sisu
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
“CTO who scaled their own startup (Reval), a conversational-AI platform for conducting reference checks. Built and operated a full-stack system (React, Spring Boot, Python/FastAPI) on AWS with heavy use of the OpenAI ChatGPT API, and has experience designing real-time streaming architectures (WebSockets) for LLM-backed voice interactions; comfortable in early-stage, low-structure environments and interested in leadership.”
Aditya Gupta
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Test
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Events
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Qa
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Fan Wang
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Aditya Gupta
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Aditya Conduit
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Chen Zhao
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems
Aditya Recruiter
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
“Founder of Reval, an AI-agent-driven product focused on automating top-of-funnel recruiting. Leverages AI coding tools (Claude Code) heavily in development and reports major productivity gains, including catching a significant memory leak; most technical details withheld due to NDA.”
Aditya Lang
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Russell Wong
Senior Software Engineer specializing in large-scale backend reliability and media platforms
“Backend/data engineer with experience on large-scale consumer platforms (Google and Meta), building high-traffic Python microservices (REST/gRPC) on Kubernetes with strong reliability/observability practices. Delivered AWS container-based deployments with CI/CD and IaC, and built AWS Glue ETL pipelines on S3 with schema evolution and data quality controls; also has demonstrated SQL tuning impact (15% latency reduction) and incident ownership for batch pipelines.”
Hassaan Khan
Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML
“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”