Vetted Engineering Professionals in California

Pre-screened and vetted in California.

EX

Junior Backend Engineer specializing in cloud-native systems and observability

Sunnyvale, CA2y exp
WalmartNYU
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SK

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

Remote, CA13y exp
AsanaTemple University
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MH

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

Corona, CA8y exp
KirusoftBoston University
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PC

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

San Jose, CA2y exp
NutanixUC Irvine
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JB

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

Mountain View, CA2y exp
YahooUC Irvine
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SR

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

San Jose, CA7y exp
MicrosoftSavitribai Phule Pune University
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SB

Mid-Level Software Engineer specializing in GenAI and FinTech

San Francisco, CA6y exp
CascaQueen's University
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JK

Senior Full-Stack Engineer specializing in web, mobile, and product growth

San Francisco, CA7y exp
KeeperFlatiron School
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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.

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Denvinn Magsino - Mid-level Software Development Engineer in Test specializing in CI/CD and web automation in Los Angeles, CA

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.

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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.

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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.

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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.

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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.

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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.

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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.

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CY

Chenfei Yu

Screened

Junior Frontend Software Engineer specializing in React/Next.js micro-frontends

Sunnyvale, CA1y exp
WalmartBoston University

Frontend-leaning full-stack engineer who shipped a civic-tech Next.js/TypeScript app (Boston Police Index) with SSR, dynamic routing, and server-side data fetching, then iterated post-launch with UX and performance improvements. At Walmart (Seller Center micro-frontends), drove large-scale React/TypeScript refactors—standardizing state management, improving hook usage, and cutting type errors ~50%—and earned trust to serve as a code reviewer enforcing quality standards.

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AB

Senior Software Engineer specializing in React, TypeScript, and scalable web applications

Los Angeles, CA8y exp
20th Century StudiosSan Francisco State University

Full-stack engineer with production experience building and owning high-traffic e-commerce checkout flows in Next.js (App Router) + TypeScript across microservices (REST/GraphQL). Demonstrated measurable performance wins (30% checkout improvement; 85% initial load reduction at 20th Century FOX) and strong production rigor (APM/logs, CloudWatch, Postgres indexing + EXPLAIN ANALYZE), including offloading PDF generation to AWS Lambda.

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JS

Intern Software Engineer specializing in edge AI deployment and distributed systems

San Francisco, CA1y exp
Zetic AISan José State University

Full-stack engineer who built an enterprise search platform (Codlens) delivering natural-language Q&A over Jira/Slack using embeddings, vector DB search, re-ranking (RRF), and LLM responses with source grounding. Also designed and benchmarked a distributed IAM system with Postgres transaction-log replication and Raft-based quorum consistency, reporting ~253 TPS at ~60ms latency in a multi-node setup. Experience spans early-stage startups (Zetic AI, Sagwara Capital) and large-scale orgs (Akamai, Atlassian).

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Prateek Patil - Engineering Leader specializing in Digital Health, AI, and Cloud Platforms in Santa Clara, CA

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.

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Ali Rahmati - Senior Machine Learning Engineer specializing in optimization, LLMs, and on-device AI in Santa Clara, CA

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.

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