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Vetted Full Stack Engineers in California
Pre-screened and vetted in California.
Shuishi Fang
Senior UX Engineer specializing in AI-native workflows and design-to-dev automation
“UX/product designer in a medical laboratory B2B portal context who prototypes beyond Figma—built a GPT-based settings chatbot to address findability and low settings adoption, iterating through 11 tested versions with regression safeguards and structured prompts to mitigate instruction truncation/hallucinations. Also redesigned clinic order management by separating doctor vs assistant experiences and introducing step-based status views for a long, multi-stage lab order lifecycle; former full-stack engineer who improves design-to-dev handoffs via templates and readiness rituals.”
Shweta Sankaranarayanan
Mid-Level Full-Stack Engineer specializing in product UX and AI-powered interfaces
John Martin
Senior Full-Stack Engineer specializing in Python, ML pipelines, and scalable cloud platforms
Omeed Familie
Senior Software Engineer specializing in backend systems, cloud migrations, and real-time streaming
Patrick Stumps
Mid-level Full-Stack Engineer specializing in analytics and healthcare platforms
Jigna Bulsara
Mid-level Full-Stack Engineer specializing in Java/Spring Boot and React
Hamna Anwar
Senior Full-Stack Engineer specializing in Python backends and modern web apps
Preetham Reddy Konuganti
Junior Full-Stack Engineer specializing in AI applications and scalable web platforms
“Full-stack engineer with customer-facing delivery experience who built and deployed a multi-platform social media automation product (Next.js/Node/MongoDB) and optimized it using BullMQ/Redis background jobs, retries, and rate limiting for reliable posting at scale. Also delivered an AI-powered false-positive analysis service in a cybersecurity context, resolving production pipeline stalls via log-driven debugging, parallelization, caching, and LLM guardrails.”
Kimberly McDonell
Senior Full-Stack Engineer specializing in web/mobile apps across retail, healthcare, and ed-tech
Zaiban Kaladgi
Mid-level Software Engineer specializing in Full-Stack and AI/ML systems
Claire Lee
Junior Full-Stack Engineer specializing in React/Node.js platforms
Shawn Seiki
Senior Full-Stack Engineer specializing in Python and AWS backend services
Vasanth Krishna Gandham
Mid-level Full-Stack & AI Systems Engineer specializing in RAG and cloud microservices
Michael michaelkleinhandler
Senior Full-Stack Developer specializing in AWS cloud-native backend services for FinTech
Nishika Divya Lewis
Mid-Level Full-Stack Engineer specializing in web platforms and FinTech support experiences
JiaCheng Liu
Junior Full-Stack Engineer specializing in distributed web platforms
David Adetuberu
Junior Software Engineer specializing in backend systems and AI-powered mobile apps
Motohiro Yamada
Senior Backend Software Engineer specializing in real-time data streaming and cloud platforms
James Bell
Senior Backend & Site Reliability Engineer specializing in cloud-native distributed systems
Gerard Tambunting
Junior Full-Stack Engineer specializing in Next.js, product engineering, and AI workflows
Pranay Gadepelly
Mid-level Full-Stack Engineer specializing in FinTech and AWS
“Software engineer who shipped an end-to-end internal workforce dashboard at Northwestern Mutual, spanning Spring Boot APIs, PostgreSQL schema/query optimization, and a React + TypeScript UI with role-based access and filtering. Has hands-on production experience deploying via GitHub Actions CI/CD to AWS (Docker, EC2, RDS) and resolving performance incidents by tuning database queries and indexes.”
Bhoomi Parikh
Junior Product Manager specializing in AI-enabled analytics products
“Product/full-stack engineer with analytics-dashboard experience at Kantar, owning features end-to-end from React/Next.js UI through Postgres data modeling and query optimization. Built a multidimensional filters/tags module that cut analyst discovery time by ~60% and also implemented durable backend workflows for bulk report generation with retries and idempotency, validated via EXPLAIN ANALYZE and production monitoring.”