Vetted Software Developers in California

Pre-screened and vetted in California.

SG

Mid-level Software Developer specializing in data engineering and ML-enabled products

Ventura, CA4y exp
CurriUniversity of Texas at Austin
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BJ

Mid-level Full-Stack Engineer specializing in AI-powered cloud applications

San Francisco, CA6y exp
PerplexityStevens Institute of Technology
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SD

Mid-level Software Engineer specializing in backend, cloud, and AI-integrated systems

Long Beach, CA3y exp
McKinsey & CompanyCalifornia State University
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YV

Mid-level AI/ML Engineer specializing in NLP, RAG, and agentic AI

Sunnyvale, CA5y exp
Cerebras SystemsUniversity of Cincinnati
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KR

Mid-level Software Developer specializing in backend cloud and API platforms

California, USA3y exp
UberNew York Institute of Technology
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VK

Senior Software Engineer specializing in Cloud, Zero Trust, and Enterprise Platforms

San Jose, CA13y exp
CotivitiSanta Clara University

Zero Trust security product lead focused on UI/API delivery, stability, and customer adoption at enterprise scale, including deployments serving 1200 customers. Stands out for hands-on production debugging across the full stack, customer-facing incident ownership, and a pragmatic approach to turning failures into automated regression coverage.

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MN

mahesh narne

Screened

Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps

San Jose, CA3y exp
PayPalUniversity of Central Missouri

Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.

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BK

Bryant Kou

Screened

Senior Full-Stack Engineer specializing in AI platforms and scalable web systems

Cupertino, CA13y exp
NexysGeorgia Tech

Full-stack/product-minded engineer with recent experience in both an early-stage AI startup and a B2B payments marketplace. Stands out for building a pgvector-based semantic cache that reduced LLM latency by 35% and for shipping audit-heavy payment infrastructure with Stripe/Plaid, idempotent webhook handling, and major reconciliation query optimizations.

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Gautham Yerroju - Senior Software Engineer specializing in AWS cloud infrastructure and microservices in CA, USA

Senior Software Engineer specializing in AWS cloud infrastructure and microservices

CA, USA12y exp
SoftQuip TechnologiesUniversity of Nevada, Reno
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SR

Mid-level Software Engineer specializing in full-stack and AI-driven systems

San Francisco, CA4y exp
Capital OneBinghamton University
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AG

Staff Software Engineer/Manager specializing in Generative AI and enterprise platforms

Santa Clara, CA12y exp
QualcommUniversity of Missouri-Kansas City
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DD

Senior Python Backend Engineer specializing in Django, APIs, and AI automation

Mountain View, CA10y exp
IntuitTexas State 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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JK

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

San Francisco, CA7y exp
KeeperFlatiron School
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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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ZS

Junior Machine Learning Engineer specializing in AI, computer vision, and data systems

Los Angeles, CA2y exp
WiDeS Lab, USCUSC

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).

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AB

Ansh Bajaj

Screened

Senior Data Engineer specializing in cloud analytics and data modernization

Los Angeles, CA9y exp
DeloitteUniversity of the Cumberlands

Candidate has hands-on experience delivering production data and AI systems, including an AWS-based real-time data platform for a financial client at Deloitte and a production RAG workflow that cut manual search time by 40%. They stand out for combining strong data engineering depth with practical LLM governance, incident debugging, and stakeholder management across business and risk/compliance teams.

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MK

Senior Software Engineer specializing in data visualization and full-stack web apps

San Francisco, CA15y exp
TrialTraceUniversity of Florida

Frontend-focused product engineer from TrialTrace who owned features end-to-end across product decisions, architecture, implementation, and testing. Strong in TypeScript/React applications with complex data visualization and dashboarding, including refactoring core coordinate logic, building filter-state architecture, and shipping fast user-driven features.

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Melissa Bennett - Executive engineering and AI leader specializing in healthcare AI and startup scaling in Los Angeles, CA

Executive engineering and AI leader specializing in healthcare AI and startup scaling

Los Angeles, CA21y exp
Thrive GlobalNorthern Caribbean University

Engineering leader who has built teams and products from scratch in both healthcare AI and consumer tech. Most notably, they grew Thrive AI Health’s engineering org from 0 to 20 and led delivery of a multimodal, multi-agent AI health coach—including a real-time voice experience piloted with Eli Lilly—while previously scaling Sweetgreen’s mobile ordering platform into a major revenue channel.

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RC

raizi chand

Screened

Director-level Technical Product Manager specializing in biopharma R&D platforms

Redwood City, CA21y exp
Bristol Myers SquibbBharathiar University

Biopharma R&D product leader with 6-8 years building enterprise data, analytics, and AI products for drug discovery and biologics research. Notably led a multi-site biosample discovery platform that became an enterprise-wide capability at Bristol Myers Squibb and also drove an AI-powered scientific insight platform using RAG/LLM approaches to reduce time-to-insight for researchers.

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Poojitha MaheshShyla - Mid-level Java Backend Developer specializing in cloud-native microservices in Sunnyvale, CA

Mid-level Java Backend Developer specializing in cloud-native microservices

Sunnyvale, CA5y exp
WalmartCampbellsville University

Backend-leaning full-stack engineer with Walmart experience building and operating high-volume media upload and processing systems. Strong in Java/Spring Boot, Postgres performance tuning (EXPLAIN/ANALYZE), and durable workflows using Kafka/Spring Batch with retries and idempotency, plus production ownership via monitoring and optimization; familiar with Next.js/TypeScript and modern React performance patterns.

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