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Vetted Full Stack Developers in the Bay Area
Pre-screened and vetted in the Bay Area.
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior Software Engineer specializing in scalable web apps, real-time systems, and AI integration
Senior Product & Application Support Leader specializing in enterprise SaaS and cloud platforms
Senior Software Engineer specializing in backend APIs and regulated FinTech workflows
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Intern Software Engineer specializing in AI/ML and LLM retrieval systems
Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration
Senior Full-Stack Engineer specializing in Go, Rust, and distributed systems
Mid-level Full-Stack Developer specializing in Java microservices, React, and cloud AI platforms
KARTHIKBABU VADLOORI
Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices
“Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).”
Kranthikumar Irala
Mid-level Full-Stack Engineer specializing in AI and FinTech platforms
“Built internal banking operations products spanning full-stack dashboards and AI-assisted workflow tools. Shipped a RAG-based assistant using PostgreSQL/Redis retrieval with OpenAI and Claude APIs, and used audit-log measurement plus evals/traces to drive a reported ~30% reduction in manual review time.”
Mid-Level Full-Stack Software Engineer specializing in web/mobile products and analytics
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Mid-level Full-Stack Developer specializing in Python/Django and React
Senior Full-Stack Software Engineer specializing in scalable SaaS platforms
Senior Software Engineer specializing in AI-powered backend and data platforms
ABHIJOY SARKAR
Senior AI Engineer specializing in LLMs, agentic systems, and MLOps
“Built and shipped PromptGuard, a production middleware proxy that secures GenAI RAG/agent systems against prompt injection and unsafe tool use using risk scoring, graded policy actions, and least-privilege tool gating. Also replaced LangChain abstractions with a custom state-machine runner for a production voice agent to reduce latency and improve traceability, and delivered a clinic call assistant by converting front-desk/doctor requirements into scenario-based guardrails and measurable evals.”
Christopher Lim
Senior Full-Stack Engineer specializing in AWS-native backend modernization
“Backend/data engineer focused on compliance and statistical processing systems on AWS, building containerized FastAPI services plus event-driven async workflows (Step Functions/EventBridge) with strong reliability patterns (JWT auth, idempotency, structured logging). Has modernized SAS-based batch pipelines into modular Python/AWS services with parallel-run parity validation, and has demonstrated measurable SQL performance wins (40+ min to <10 min) and hands-on incident ownership using CloudWatch-driven detection and prevention.”