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Vetted Software Engineers in California
Pre-screened and vetted in California.
Senior Software Engineer & Engineering Lead specializing in Unreal/Unity VR training and multiplayer
Andrew Park
Mid-Level Software Engineer specializing in QA automation and full-stack web development
“Automation and customer-facing technical specialist with experience at QA Wolf and Kalmar, taking Playwright E2E testing from prototype scripts into CI-gated production pipelines (80%+ automated coverage). Also trained both software teams and industrial operations audiences (Fleet View for automated straddle carriers) and partnered with sales/customer teams to translate technical results (e.g., Siemens PLC updates, QA ROI) into adoption and faster closes.”
Bilal Sadaqat
Senior Machine Learning Engineer specializing in NLP, LLMs, and AI systems
“AI/ML engineer with hands-on experience building a healthcare-focused generative AI application end-to-end, from architecture and data design through deployment, monitoring, and iterative improvement. Particularly strong in multi-agent LLM systems, fine-tuning, and safety guardrails, with measurable impact including a 20% accuracy lift to 91% and 10% latency improvement in a nutrition recommendation pipeline.”
Ranjitha Narasimhamurthy
Junior Software Engineer specializing in backend systems, AI, and cloud platforms
“New grad candidate with graduate research experience building a multi-agent RAG pipeline from scratch, including worker-coach orchestration and an evaluation framework. Most notably, they improved structural similarity from 67% to 98% by designing validation and retry logic to reduce hallucinations, showing strong practical depth in agentic AI systems.”
Sasi Kanduri
Senior Full-Stack Software Engineer specializing in backend systems and workflow platforms
“Full-stack engineer with strong React and Python backend depth who has owned complex analytical products end-to-end, from performant UIs to FastAPI services, SQLAlchemy data models, Redis caching, and production observability. Particularly compelling is their 0→1 automation work in the water systems domain, where they built Airflow- and LLM-powered workflows that reduced manual notification and correction work by 90%.”
Mid-level Software Engineer specializing in full-stack development and backend APIs
“Backend engineer who has designed and evolved high-traffic event/activity management systems using Node/Express and PostgreSQL, prioritizing scalability and reliability with a layered architecture. Has led zero-downtime refactors/migrations using parallel runs, dual writes, and rigorous validation/monitoring, and brings a security-focused API approach (JWT, RBAC/ABAC, rate limiting, DB-enforced tenant/RLS filters).”
SRI DATTA VENGA SAMPATH VENGA
Mid-level Full-Stack Developer specializing in cloud-native web apps and AI monitoring
“QA automation-focused candidate with hands-on ownership of unit and integration test suites, including CI/CD integration in GitLab. Caught a database-query regression that would have shipped incomplete API data by relying on automated integration tests, and has practical Cypress experience stabilizing flaky tests using cy.intercept()/cy.wait() and stable selectors.”
Raghavendra Dubey
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
“Enterprise workflow/product engineer (DXC) who owned a customer-facing workflow application for 500+ users and improved performance ~30% through API/SQL optimization, caching, and CI/CD-backed iteration. Experienced designing React/TypeScript + Java/Spring Boot systems and operating microservices with RabbitMQ/Kafka-style messaging, emphasizing reliability via DLQs, backpressure, and strong observability. Also built an internal automation dashboard adopted by support/ops teams to cut manual work and reduce SLA misses.”
Eric Vuu
Mid-Level Full-Stack Software Engineer specializing in cloud infrastructure and web applications
“Software engineer turned solutions/technical support engineer with 5+ years of experience supporting and migrating a custom CRM used by U.S. House of Representatives offices. Has hands-on ownership of database export/import scripting, API key-based integrations, and production troubleshooting, and also consults government customers on procurement/CLM workflows while partnering with sales/marketing on demos and adoption use cases.”
Cody Feda
Principal Full-Stack Engineering Leader specializing in forward-deployed SaaS platforms
“Hands-on builder and workshop facilitator focused on getting LLM/agentic and dev-tools products from prototype to production. Has delivered iterative production deployments for a construction client (estimating/invoicing on EC2), debugs LLM regressions with monitoring plus prompt optimization, and has facilitated multiple developer workshops while helping founders improve onboarding and time-to-first-success using tools like PostHog.”
Vedant Singh
Junior Cloud Platform Software Engineer specializing in AWS, Kubernetes, and CI/CD
“Cloud/platform engineer with hands-on delivery across Azure and AWS, including standing up a CIS-compliant Azure environment and integrating Azure OpenAI Foundry to automate finance invoicing. Has scaled platform capabilities across large org footprints (dynamic CI/CD pipelines for ~94 teams across 200+ repos) and replaced a $1M/year vulnerability patching vendor by building an internal AWS-based patching and monitoring solution for ~1000 servers.”
Nancy Luu
Mid-level Software Engineer specializing in consumer-facing web products
“Full-stack product engineer in a high-growth startup environment who led a revenue- and retention-driving Loyalty Pass feature end-to-end using Next.js App Router, TypeScript, and Postgres. They pair strong frontend performance instincts with backend reliability work, including Stripe-based onboarding/billing refactors, idempotent workflows, and production observability.”
Konstantin Ramenskii
Senior Unity/C# Engineer specializing in games, AR, and AI systems
“Unity/C# engineer with hands-on ownership of a server-backed resource loading pipeline that kept build size small, preserved UI responsiveness via parallel services, and handled dynamic asset replacement with ghost objects and memory cleanup. Also brings a pragmatic, architecture-first approach to AI/LLM integration, emphasizing provider abstraction, testing, cost control, and guardrails for hallucinations.”
Kunal Doshi
Senior Full-Stack Software Engineer specializing in cloud-native platforms and AI/NLP
“Full-stack engineer at an early-stage startup (AirKitchenz) who owned the hourly booking/availability and first paid booking flow end-to-end—React/TypeScript frontend, Node backend, Postgres modeling, and Stripe payments/webhooks. Experienced operating production on AWS (EC2/Elastic Beanstalk, Docker, RDS, CloudWatch) and building reliable, idempotent integrations while iterating quickly in a pre-PMF environment through direct host/renter feedback.”
Sangat Shah
Mid-Level Full-Stack Engineer specializing in AWS serverless and React/Node.js
“Backend engineer who built and evolved a serverless AWS platform for large-scale live screening events with real-time chat/feedback and streaming (API Gateway/Lambda/DynamoDB/WebSockets/IVS, IaC via Pulumi). Led production refactors and phased migrations using feature flags and dual-write strategies, and has hands-on experience implementing JWT auth, RBAC, and database-enforced row-level security for multi-tenant systems.”
Yash Prakashbhai Shah
Senior Backend Software Engineer specializing in Java, microservices, and cloud infrastructure
“Backend/platform engineer at Aryaka Networks who built a centralized resiliency and security Spring Boot library to standardize Keycloak RBAC and fault-tolerance across 25+ Kubernetes-migrated microservices. Uses profiling and observability (Prometheus/Grafana) to drive measurable performance and reliability gains (25% faster APIs, 70% faster environment setup) and accelerates adoption via golden-path starter repos and Swagger/OpenAPI live docs.”
Ruslan Labza
Mid-level Full-Stack Engineer specializing in modern web applications
“Built and launched a production AI chat assistant inside a data processing platform, focused on helping users understand large table outputs and job results faster. Brings strong end-to-end product engineering across React/TypeScript frontend, backend APIs, and LLM integration, with a clear emphasis on reliability, safe behavior, and iterative quality improvements after launch.”
Nidhi Sura
Junior Software Engineer specializing in AI platforms, distributed systems, and cloud infrastructure
“Software engineer with limited robotics background but deep experience building end-to-end document ingestion and image understanding systems, including a CAD-specific pipeline using a custom model to extract components and bounding boxes for user-facing visualization and Q&A. Also brings strong infrastructure/DevOps skills (Docker, Kubernetes, GitHub Actions, Terraform) with emphasis on reliability, cost optimization, and uptime.”
Ashay Panchal
Mid-level Software Engineer specializing in AI-driven distributed systems
“Backend engineer who built a high-stakes, privacy-first platform at be Still Analytics for survivors of domestic violence, emphasizing anonymity, security, and reliability. Experienced with GenAI backends (LangChain + AWS Bedrock) including RAG to prevent hallucinations, plus cloud-native scaling (Docker/Kubernetes) and cost-saving migrations from legacy VMs to serverless (30% reduction).”
Eduardo Vazquez
Senior Software Engineer specializing in Unity mobile game development
“Unity mobile game developer (10+ years) who has shipped 15+ iOS/Android titles (including Word Collect, Trivia Start, Word Nut, Hot Las Vegas Slots). Built a large-scale adventure/quest progression feature with 1000+ quests using procedural map generation, UI virtualization for mobile memory constraints, and a server-driven, spreadsheet-importable configuration system that became a reusable standard across games. Based in San Diego (PST) and targeting $155k USD; open to contract or full-time.”
Andrew Lo
Mid-level account executive and software engineer specializing in healthcare SaaS
“Healthcare software sales candidate with hands-on experience building outbound campaigns, refining ICP and messaging in a small, iterative environment, and selling AI-enabled EMR capabilities. Demonstrates strong consultative discovery in nuanced care settings like home health and home care, with measurable outbound results including a 12% reply rate, 5-10 demos, and 25% demo conversion.”
Tanay Mehendale
Junior Data Engineer specializing in LLM agents and RAG pipelines
“Built and deployed “ApartmentFinder AI,” a multi-agent system using Google ADK, Gemini, and Google Maps MCP to automate apartment shortlisting and commute-time analysis, cutting a 45–70 minute user workflow down to ~30 seconds. Also has strong delivery/process chops from serving as an SDLC Release Coordinator, managing 52+ releases and reducing SDLC issues by 84%.”
Jayanth Amol Ergola
Mid-Level Software Engineer specializing in full-stack development and data engineering
“Backend engineer with production experience at KeyBank building high-volume Java/Spring Boot services on Azure with PostgreSQL/Oracle, including async job ingestion and tracking. Demonstrates strong reliability/performance debugging (HikariCP pool exhaustion, DB contention) and has shipped an LLM-powered data analysis/summarization feature with robust production guardrails (validation, shadow testing, deterministic fallbacks, audit logs).”