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Vetted Software Engineers in the Bay Area
Pre-screened and vetted in the Bay Area.
David McGrouther
Senior Solutions Engineer specializing in SaaS demos, technical validation, and customer-facing engineering
“Solutions Associate / technical support professional with experience assessing and fixing multi-script JavaScript issues, providing timelines, and managing scope changes with customers. Has supported customers by diagnosing recurring campaign issues, running technical demos with stakeholder feedback loops, and enabling self-service so customers can resolve problems independently.”
Xinyu Li
Junior Software Engineer specializing in backend systems and AI/LLM RAG platforms
“Full-stack engineer who built and operated a data-driven analytics platform using Next.js App Router/Server Components and TypeScript, owning post-launch monitoring and performance/stability work. Demonstrated measurable wins in analytics performance (e.g., cutting query latency from ~1s to ~200ms) through indexing, query-plan analysis, and precomputation/caching, and has experience designing durable multi-step backend workflows with retries, idempotency, DLQ, and time-correct ordering.”
Junior Software Engineer specializing in backend microservices and cloud-native systems
Director-level engineering leader specializing in AI healthcare platforms
Mid-level Software Engineer specializing in backend systems and AI voice platforms
Mid-Level Software Development Engineer specializing in backend microservices and cloud-native IoT
Junior Software Engineer specializing in backend, microservices, and cloud
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.”
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.”
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.”
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.”
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.”