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Vetted Software Engineers in California
Pre-screened and vetted in California.
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.”
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.”
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.”
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.”
Shivashankar Galla
Senior Technical Lead specializing in front-end architecture and micro frontends
“Frontend-leaning product engineer who describes leading the end-to-end architecture of Albertsons' partner portal, consolidating fragmented vendor and merchant workflows into a single micro-frontend platform. He highlights significant business impact through a reported $20M/year savings, plus hands-on ownership across observability dashboards, BFF/GraphQL API design, and cross-functional architecture decisions.”
Yashaswini Mohan
Mid-level Product Manager and Software Engineer specializing in data-driven product execution
“Product professional with 4 years spanning software engineering, program management, and product execution, who led a 0-to-1 AI education product focused on student engagement. Drove AI Academy from ambiguous vision to MVP across 6 sprints, aligning faculty, students, and engineers and reporting 70% user participation.”
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.”
Kevin Delong
Senior Full-Stack Engineer specializing in FinTech compliance platforms
“Backend/data engineer with hands-on production experience building a real-time notification API on Flask/Celery/Postgres and scaling it on AWS with Docker, Redis queuing, and SQLAlchemy query optimization. Also delivered AWS serverless deployments (Lambda) using Terraform + GitHub Actions and built AWS Glue ETL pipelines from S3 to Redshift with CloudWatch monitoring and DataBrew data quality checks.”
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.”
Henry Li
Junior Software Engineer specializing in mobile, full-stack, and game development
“Engineer with hands-on experience shipping production-critical AI-assisted workflows, including an internationalization system for a React Native/Expo mobile game that expanded from English-only to 15 languages. Stands out for pragmatic, safety-first use of AI: they design deterministic validation layers, constrain model scope, and prioritize architecture, QA, and maintainability over hype-driven agent complexity.”
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).”
Sarthak Choudhary
Mid-level Deployment Engineer specializing in AI integrations and data pipelines
“Built and owned enterprise data/integration deployments and production AI workflows, including a Python-based migration pipeline that moved 2M records with major improvements in onboarding speed, error rate, latency, and uptime. Also shipped a financial RAG assistant over 50K documents with sub-second p95 latency, showing a strong blend of customer-facing deployment ownership, data engineering, and LLM systems expertise.”
Harshvardhan Garude
Mid-level Software Engineer specializing in AI and machine learning
“Graduate-level candidate who uses AI as a disciplined engineering assistant rather than an autonomous replacement, with hands-on experience coordinating manual multi-agent coding workflows across planning, implementation, and testing. They emphasize scoped execution, clear constraints, and human ownership of final merges, suggesting a thoughtful and practical approach to AI-augmented software development.”
Breanna Nasholm
Senior Frontend Engineer specializing in React and TypeScript web applications
“Senior-level software engineer who uses AI pragmatically rather than blindly—leveraging Microsoft Copilot and LLMs for boilerplate, utility functions, and reusable React components while rigorously reviewing output for readability, reuse, and fit with project structure. Brings a strong maintainability mindset and prior experience reviewing code for junior engineers.”