Vetted Software Engineers in the Los Angeles Metro

Pre-screened and vetted in the Los Angeles Metro.

AZ

Senior Backend Software Engineer specializing in Python and AWS cloud services

Los Angeles, CA10y exp
MojoTechUniversity of Illinois Chicago
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JM

Senior QA Engineer specializing in VR, mobile, and console game testing

Los Angeles, CA15y exp
MetaDeVry University
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AM

Senior Full-Stack Software Engineer specializing in cloud-native platforms and Healthcare IT

Downey, CA12y exp
Cohere HealthUSC
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ZT

Mid-level AI Engineer specializing in LLMs, RAG chatbots, and cloud AI testing

Los Angeles, CA4y exp
WiseDVCalifornia State University, Fullerton
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Atulya Bist - Junior Data Scientist / Software Engineer specializing in LLM analytics and robotics in Los Angeles, CA

Atulya Bist

Screened

Junior Data Scientist / Software Engineer specializing in LLM analytics and robotics

Los Angeles, CA3y exp
Applied MaterialsUSC

Robotics/ML engineer who implemented TD3 and PPO in PyTorch to solve the challenging OpenAI Gymnasium humanoid-v5 MuJoCo task, including custom networks, rollout logic, and training scripts. Also has hands-on robotics coursework experience with ROS-based RRT motion planning on a real robotic arm, plus practical CI/CD and containerization experience (Docker, Jenkins, GitHub Actions). Currently exploring world models (VAE + sequence generator) using Euro Truck Simulator data.

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SS

Executive IT Leader specializing in enterprise architecture, cloud modernization, and AI transformation

Los Angeles, CA25y exp
Tokio Marine HCCUC Davis

Enterprise Architecture leader with insurance domain experience (Farmers Insurance) who drove a multi-phase roadmap to modernize a siloed CRM landscape—migrating from legacy Siebel to Salesforce Financial Services Cloud with Customer 360, MDM, and omnichannel capabilities. Also led a high-impact architecture decision to implement offline billing to reduce customer-facing downtime, including complex SAP/on-prem-to-cloud integration and transaction sync.

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SK

Mid-Level Software Engineer specializing in ML platforms and full-stack systems

Diamond Bar, CA4y exp
AmazonArizona State University
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CG

Mid-level Software Development Engineer specializing in cloud-native backend systems

Long Beach, CA4y exp
DatadogCalifornia State University, Dominguez Hills
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SB

Mid-Level Software Engineer specializing in full-stack and iOS development

Los Angeles, CA5y exp
AppleUC Berkeley
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Amit Aggarwal - Executive Enterprise AI & Digital Transformation Leader in Irvine, CA

Executive Enterprise AI & Digital Transformation Leader

Irvine, CA27y exp
Unisys
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BA

Software Engineer specializing in full-stack and supply chain platforms

Irvine, CA6y exp
AmazonUC Irvine
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SJ

Mid-level Software Engineer specializing in distributed systems for Healthcare and E-commerce

Los Angeles, CA5y exp
Avenda HealthNortheastern University
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HL

Senior Software Engineer specializing in game development and full-stack web apps

Orange County, CA7y exp
AmazonUC Irvine
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SS

Software Engineer specializing in distributed systems, messaging platforms, and AI-enabled products

Los Angeles, CA2y exp
FeatherUSC
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MN

Junior Full-Stack Software Engineer specializing in web, mobile, and AI applications

El Segundo, CA1y exp
TechEmpowerUC Berkeley
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FP

Senior Software & Data Engineer specializing in cloud platforms and streaming data

Hawthorne, CA14y exp
AmazonGrand Valley State University
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KS

Mid-level Frontend Software Engineer specializing in React and cloud-integrated web apps

Los Angeles, CA5y exp
WalmartUSC
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RC

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

El Monte, CA11y exp
SeamgenUC Irvine
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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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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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