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Vetted Engineering Professionals in California

Pre-screened and vetted in California.

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Software Engineer900+Software Developer200+Full Stack Developer150+Software Development Engineer100+QA Engineer80+Research Assistant70+Full Stack Software Engineer70+Full Stack Engineer70+Quality Assurance Engineer50+QA Analyst40+Teaching Assistant40+Engineering Manager40+QA Tester40+Quality Assurance Tester30+Machine Learning Engineer30+Web Developer30+Technical Lead30+Backend Engineer20+Python Developer20+Backend Software Engineer20+QA Lead20+QA Automation Engineer20+Frontend Developer20+
RC

Richmond Chang

Senior Full-Stack Software Engineer specializing in cloud-native platforms and gaming systems

El Monte, CA11y exp
SeamgenUC Irvine
AngularAWSAWS LambdaBashC#C+++67
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BH

Baban Hamesalh

Mid-level Full-Stack Engineer specializing in Python, FastAPI, and cloud-native systems

San Diego, CA4y exp
DynataGeorgia Tech
PythonFastAPIAPI DevelopmentBackend DevelopmentMicroservicesSQL+46
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SZ

Shidong Zhang

Intern Software Engineer specializing in systems, networking, and GPU computing

Santa Clara, CA2y exp
Arista NetworksUSC
Automated TestingCC++CUDADjangoGit+40
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EX

Erkang Xia

Junior Backend Engineer specializing in cloud-native systems and observability

Sunnyvale, CA2y exp
WalmartNYU
JavaPythonC++SQLTypeScriptSwift+58
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SK

Steven Kane

Senior Software Engineer specializing in React, Python, and scalable web platforms

Remote, CA13y exp
AsanaTemple University
ReactVue.jsTypeScriptD3.jsPythonFastAPI+28
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MH

Mohammed Hassouna

Senior Full-Stack Developer specializing in Python, AWS, and data/ETL systems

Corona, CA8y exp
KirusoftBoston University
HTMLCSSJavaScriptReactReact NativePython+50
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PC

Prathamesh Channe

Intern AI/Backend Engineer specializing in LLM agents and cloud microservices

San Jose, CA2y exp
NutanixUC Irvine
PythonJavaCSQLJavaScriptSpring Boot+55
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JB

Jayesh Borse

Mid-Level Backend Software Engineer specializing in distributed systems and observability

Mountain View, CA2y exp
YahooUC Irvine
JavaPythonC++JavaScriptHTMLCSS+41
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SR

Shivani Rajole

Mid-level SDET / QA Automation Engineer specializing in API and UI test automation

San Jose, CA7y exp
MicrosoftSavitribai Phule Pune University
AngularJSAPI TestingBashBootstrapCI/CDCode Review+64
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SB

Shiyan Boxer

Mid-Level Software Engineer specializing in GenAI and FinTech

San Francisco, CA6y exp
CascaQueen's University
PythonTypeScriptJavaScriptRubyReactReact Native+52
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VP

Viraj Paresh Shah

Screened ReferencesModerate rec.

Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and compliance

San Francisco, California6y exp
CiscoUC Irvine

“Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.”

PythonJavaJavaScriptC++RubySQL+113
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DM

Denvinn Magsino

Screened ReferencesModerate rec.

Mid-level Software Development Engineer in Test specializing in CI/CD and web automation

Los Angeles, CA4y exp
MagniteBloomTech

“QA automation engineer with ad-tech domain experience (Prebid.js wrapper-based services) who built an end-to-end Python automation framework using Playwright to validate wrapper settings, auction request/response, and analytics payloads. Uses Jenkins-driven CI reporting and feature-categorized regression runs to quickly isolate revenue-impacting defects and coordinate fast fixes with developers.”

PythonJavaScriptJavaCSeleniumPlaywright+78
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SS

Saffinah Shi

Screened

Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems

Los Angeles, US2y exp
CoreSpeedNorthwestern University

“SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.”

API GatewayAWSAWS IAMAWS LambdaBERTCI/CD+133
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CC

Caden Cheah

Screened

Intern Full-Stack/ML Engineer specializing in LLM applications and mobile development

Los Angeles, CA1y exp
IlloominateUC Berkeley

“Backend engineer who built a serverless AWS Lambda microservices backend for a parenting assistance mobile app, including a personalized recommendation system optimized to sub-500ms via precomputed scoring and DynamoDB caching. Demonstrates strong production pragmatism: CloudWatch-driven performance tuning (provisioned concurrency), zero-downtime phased schema migrations, and robustness patterns like optimistic locking and request deduplication. Also led a refactor of an LLM RAG pipeline to improve retrieval quality and cut latency from ~5s to ~3s.”

PythonJavaGoCC#C+++104
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JA

Joshua AmrithRaj

Screened

Mid-level Robotics Software Engineer specializing in ROS2 autonomy and manipulation

San Jose, CA4y exp
HondaWorcester Polytechnic Institute

“Robotics software engineer with hands-on experience building ROS2-based distributed multi-robot systems, including task allocation (distance cost matrix) and navigation using Nav2/DWA. Previously on Vicarious’s grasping team, implementing real-world box-picking with vacuum suction and force/torque sensing plus recovery behaviors. Also brings strong engineering hygiene with Gazebo simulation, Dockerized deployments across offices, and GitHub Actions CI/CD with unit/integration testing.”

ROS 2Distributed SystemsComputer VisionGazeboDockerCI/CD+91
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ZS

Zahra Shergadwala

Screened

Junior Software Developer specializing in AI/ML and data engineering

Los Angeles, CA1y exp
Solace TechnologiesUSC

“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”

AlgorithmsAmazon EC2Amazon S3Apache HadoopApache KafkaApache Spark+183
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MP

Malav Pandya

Screened

Senior Solutions Engineer specializing in Enterprise SaaS, MarTech integrations, and AI agents

Los Angeles, California9y exp
Triple WhaleUC Irvine

“At Triple Whale, partnered with product, engineering, and sales to bring enterprise LLM-based budget recommendation agents from impressive prototypes to trusted production workflows. Strong in prompt/input tuning, explainable structured outputs, and running tightly-scoped POCs with clear success criteria—plus hands-on technical demos and post-sale implementation to drive adoption.”

Prompt EngineeringData AnalyticsAutomationREST APIsAPI IntegrationAPI Testing+68
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PP

Prateek Patil

Screened

Engineering Leader specializing in Digital Health, AI, and Cloud Platforms

Santa Clara, CA16y exp
RocheIllinois Institute of Technology

“Senior Engineering Manager at Roche leading two Scrum teams building internally shared (“inner-sourced”) tools and libraries for a healthcare enterprise. Has led security/compliance-first architecture decisions (e.g., Python AI modules running inside a Java container) and front-end modularization (Angular monorepo to module federation), with a strong focus on developer experience via automated Swagger/OpenAPI documentation and robust testing/versioning practices.”

JavaPythonObject-oriented programming (OOP)Design patternsAlgorithmsDistributed systems+112
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YW

Yifei Wang

Screened

Intern Software Engineer specializing in C++ systems and performance optimization

Santa Clara, CA1y exp
PlusAINYU

“Robotics software intern who worked on a customized ROS1-based middleware, building ROS node orchestration and a ROS topic monitoring system. Improved intra-machine ROS topic performance by using shared memory and circular buffers instead of socket-based IPC, and integrated nightly Jenkins CI with Groovy/Python to run tests and produce code coverage reports.”

C++PythonJavaSQLNumPyPandas+80
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AR

Ali Rahmati

Screened

Senior Machine Learning Engineer specializing in optimization, LLMs, and on-device AI

Santa Clara, CA9y exp
QualcommNorth Carolina State University

“Engineer with hands-on experience debugging and hardening a fixed-point implementation for an internal PoC, quickly diagnosing overflow/underflow issues that caused intermittent failures across thousands of runs and delivering a code fix. Comfortable presenting technical solutions with layered slide depth and doing follow-up deep dives for interested stakeholders, though has limited direct customer/sales partnership experience.”

CC++Computer VisionDeep LearningDockerFlask+67
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OB

Omkar Bhope

Screened

Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation

San Jose, CA5y exp
Etched AIUC San Diego

“Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.”

PythonCC++TypeScriptJavaScriptSQL+159
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SB

Silpa Bhavani

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Oakland, CA5y exp
BlockLamar University

“Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.”

AgileAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon EKSAmazon RDS+139
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