Vetted Engineering Professionals in California

“Data engineer with Charter Communications experience modernizing large-scale AWS data lake pipelines: ingesting S3 data, validating against legacy systems, transforming with PySpark/Spark SQL, and serving via Iceberg/Delta tables. Worked at 50M–300M record scale, delivered >99.5% data match, and built monitoring/alerting (CloudWatch/SNS) plus retry orchestration (Step Functions) and data quality gates (Great Expectations).”

Tejas Kolpek

Screened

Mid-level Solutions Architect/Engineer specializing in AI and data integrations

Mountain View, CA5y exp

“Solutions Engineer specializing in taking LLM copilots from demo to production, with a strong emphasis on enterprise security (RBAC/OAuth), grounded RAG behavior (cite-or-refuse), and operational readiness (eval loops, logging, runbooks). Experienced in real-time diagnosis of agentic/LLM workflow failures and in partnering with Sales/CS to run integration-first POCs that clear security and reliability concerns and accelerate rollout.”

Kyle Vo

Screened

Junior Software Engineer specializing in web, mobile, and embedded systems

Davis, CA1y exp

“Software/IoT-focused candidate with startup internship experience building a planner AI service integrating Google Calendar (OAuth/token handling) and connecting AI, backend, frontend, and database. Also has embedded systems + AWS networking troubleshooting experience and has implemented TCP networking projects optimized for throughput and low jitter/latency; collaborates with clients via weekly meetings using Trello/Slack.”

Gary Chang

Screened

Senior Full-Stack Software Engineer specializing in AI-first cloud-native systems

Los Angeles, CA9y exp

“End-to-end engineer who has productionized AI automation and RAG capabilities, building full-stack systems (React/Node/Redis/Postgres + vector DB) with evaluation-driven quality gates and monitoring. Reported ~60% reduction in manual ops time and major turnaround improvements, and has experience modernizing legacy systems safely via feature flags and parallel runs while working across product, data, and ops teams (System1).”

Pranita Agrawal

Screened

Mid-level Software Engineer specializing in Java microservices and AWS

California, USA5y exp

“TypeScript backend/full-stack engineer who owned an internal business workflow platform end-to-end in production, including API/data design, relational DB integration, and enterprise integrations. Has hands-on experience operating workflow processing services with Kafka-style event-driven patterns, idempotency, exponential backoff retries, dead-letter queues, and strong observability, plus API design with OpenAPI/Swagger and token-based auth.”

Rajesh Sivakumar

Screened

Senior Software Engineering Manager specializing in cloud-native distributed systems (FinTech & Healthcare)

San Francisco, CA26y exp

“Engineering leader/player-coach who has led 40+ developers across multiple teams on large financial services web applications (Wells Fargo) and previously delivered a banking mobile app MVP in 6 months with a junior team by setting patterns and CI/CD foundations. Strong in production reliability practices (Splunk monitoring, feature flags, throttled rollouts) and has driven measurable quality/velocity wins, including a 60% faster E2E test framework and a rapid 2-day hotfix during a React 16→18 migration.”

Sadiya Bhawania

Screened

Senior Software Engineer specializing in AI and full-stack web platforms

Bay Area, CA6y exp

“Full-stack TypeScript engineer with early-stage startup experience (HomePulse; sole US engineer) who ships and owns production features end-to-end—routing/state design, API contracts, caching/pagination, and post-launch monitoring/optimization. Has delivered performance-sensitive React UIs (virtualized large datasets, React Query caching, Suspense loading patterns) and built durable job-queue workflows with idempotency/retries, plus SQL Server relational modeling for internal ticketing and knowledge-retrieval workflows.”

Joon Im

Screened

Mid-level QA Automation Engineer (SDET) specializing in API and test automation

Los Alamitos, CA4y exp

“QA automation engineer who owns and modernizes end-to-end test automation across Selenium (Java) and Cypress (JavaScript), integrating suites into GitLab CI/CD with PR gating, nightly runs, and Sauce Labs reporting/recordings. Demonstrated impact by catching a session-timeout workflow issue in CI that manual testing missed and by reducing flakiness through stack upgrades, coding standards, and API-synchronized assertions.”

“Frontend-focused engineer who built an expense management solution inside Microsoft Teams using React and Formily, modernizing reimbursement workflows that handle ~20,000 approvals per year. Demonstrated practical debugging and reliability improvements (stabilized multi-attachment uploads via event-binding investigation and hash-map-based targeting) and delivered ~30% performance gains by changing data structures, while coordinating stakeholders and team resources during quarter-end pressure.”

“Game-studio QA tester with full lifecycle experience (feature kickoff through release/live updates), strong in structured test planning, edge-case discovery, and disciplined defect tracking. Partners closely with engineers via Jira/standups, providing detailed repro steps, logs, and evidence, and builds regression coverage to prevent recurring UI/data-loss issues.”

Nehemiah Dias

Screened

Senior Frontend Engineer specializing in design systems and real-time SaaS platforms

San Francisco, CA11y exp

“Full-stack product builder who has repeatedly taken end-to-end ownership in startup environments, including building PromoFlow solo and architecting the entire software backbone for Hard Drive. Particularly strong at turning ambiguous product needs into scalable systems, from real-time Firebase apps to shared component libraries and redesigned Postgres architectures, while also bridging non-technical founders, design, and engineering.”