Vetted Engineering Professionals in California

Pre-screened and vetted in California.

HA

Senior Full-Stack Python Engineer specializing in SaaS, cloud, and microservices

Sacramento, CA10y exp
Agile17University of Karachi
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SR

Mid-Level Full-Stack Software Engineer specializing in edtech and adaptive learning systems

Napa, CA6y exp
Hey Future LawyerPepperdine University
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PD

Mid-level Data & Marketing Analyst with QA and sports tracking experience

Glendale, CA4y exp
AeroVironmentCalifornia State University, Northridge
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TO

Senior QA Engineer specializing in automation, API testing, and data quality validation

San Francisco, CA12y exp
Standard AIKyiv National Economic University
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CD

Mid-level QA Engineer specializing in test automation for SaaS, FinTech, and climate tech

Los Angeles, CA7y exp
CloverlyUC Santa Barbara
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JL

Junior Full-Stack Software Developer specializing in web and cloud applications

Culver City, CA1y exp
Property MatrixSanta Clara University
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DM

Senior Full-Stack Developer specializing in Azure cloud-native microservices

Sunnyvale, CA13y exp
Asclepius ConsultingJawaharlal Nehru Technological University, Kakinada
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HM

Junior Software Engineer specializing in full-stack AI/ML forecasting and embedded systems

San Jose, CA2y exp
Featurebox AICalifornia State University, San Bernardino
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SC

Entry-level Full-Stack Developer specializing in AI/ML and web applications

Calabasas, CA1y exp
Koios MarketplaceCalifornia State University, Long Beach
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Aidan O'Hare - Junior Robotics & Controls Engineer specializing in SLAM and multi-robot systems in Santa Clara, CA

Aidan O'Hare

Screened ReferencesStrong rec.

Junior Robotics & Controls Engineer specializing in SLAM and multi-robot systems

Santa Clara, CA3y exp
Best BuySanta Clara University

Robotics software engineer with deep ROS/ROS 2 experience spanning both simulation and real hardware. Led a Master’s thesis building a decentralized multi-robot control stack in ROS 2 (Isaac Sim + Nova Carter), implementing nonlinear MPC (casADI) and RRT* planning with SLAM/3D LiDAR, and tackled tricky frame-convention integration issues. Previously built an autonomous quadruped for first responders (PACRR), integrating LiDAR/RGB-D/IMU sensors and tuning navigation behavior through iterative field testing.

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NS

Nathaniel Schoeb

Screened ReferencesStrong rec.

Senior Software Engineer specializing in secure full-stack healthcare systems

San Francisco, CA3y exp
Kreative Technologies LLCUniversity of Maryland, College Park

Full-stack developer who uses AI deliberately rather than blindly, keeping generated code to a minority of core feature work so they retain full understanding of data flow. Built a React/TypeScript + Supabase task management app and shows strong judgment around debugging hallucinated schema/query output, refactoring for maintainability, and prioritizing security and logic over boilerplate speed.

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JS

Joseph Seger

Screened ReferencesStrong rec.

Senior Full-Stack Software Engineer specializing in real-time 3D, AR/VR, and game engines

Los Angeles, CA12y exp
ImmersicomUniversity of Colorado Denver

Unity gameplay engineer with hands-on ownership across core game systems, multiplayer, AI/LLM integration, and cross-platform XR/mobile shipping. Particularly compelling is their combination of deep runtime optimization and systems architecture: they cut match-3 cascade frame spikes by 40-50%, eliminated a class of production race-condition bugs, and also built a local-model FastAPI-backed AI prototype with structured evaluation and cost control.

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SS

Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems

Palo Alto, CA5y exp
LemmataUniversity at Buffalo

Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.

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YP

Yash Pokharna

Screened

Intern Software Engineer specializing in backend systems, cloud, and AI agents

Santa Clara, CA1y exp
Miller Center for Global ImpactSanta Clara University

Built and productionized an LLM-based appointment management agent, implementing RAG with Redis and LangGraph plus multi-agent intent handling and rule-based conflict guardrails to prevent double-booking under high load. Experienced in real-time diagnosis of agentic workflow failures using logs/traces and state inspection, and in driving adoption via interactive developer demos and sales-aligned custom customer scenarios.

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DD

Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms

California, USA4y exp
BrillioSyracuse University

Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.

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Bhavesh Patel - Senior Unity Developer specializing in AR/VR and multiplayer games in CA, United States

Bhavesh Patel

Screened

Senior Unity Developer specializing in AR/VR and multiplayer games

CA, United States9y exp
Alter LearningGujarat Technological University

Unity VR developer with 3 years of experience shipping games for Meta Quest, focused on gameplay event handling and animation control. Prefers structured production environments and on-site, 9-to-5 work; notes multiplayer development as a more challenging area.

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UL

Mid-level Software Engineer specializing in backend systems and AI-powered platforms

San Francisco, CA4y exp
Stealth AI StartupClark University

Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.

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