Vetted Software Engineers in the Los Angeles Metro

Pre-screened and vetted in the Los Angeles Metro.

ND

Senior Software Engineer specializing in Unity, real-time systems, and AI/LLM integration

Irvine, CA6y exp
New American FundingUC Riverside
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SR

Mid-level Software Engineer specializing in ML, NLP, and backend systems

Los Angeles, USA3y exp
Easley-Dunn ProductionsUSC
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CL

Entry-level Software Engineer specializing in full-stack web and AI/ML

Culver City, CA0y exp
Property MatrixUC Irvine
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MR

Junior Software Engineer specializing in distributed systems and scalable backend

Torrance, CA2y exp
The Legal LeadsCalifornia State University, Fullerton
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VR

Junior Software Engineer specializing in distributed systems and AI applications

Northridge, CA3y exp
California State University, NorthridgeCalifornia State University, Northridge
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SB

Mid-level Product Manager specializing in enterprise platforms and healthcare technology

Long Beach, CA7y exp
HoneywellCalifornia State University, Long Beach
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TW

Staff-level Game & Interactive Software Engineer specializing in Unity and real-time experiences

Los Angeles, California16y exp
Warner Bros. GamesEmerson College
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AB

Junior Software Engineer specializing in AI and machine learning systems

Los Angeles, CA2y exp
University of Southern CaliforniaUSC
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FL

Senior Full-Stack Engineer specializing in FinTech and web applications

Los Angeles, CA8y exp
Andrea BijouxUSC
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GP

Mid-Level Full-Stack Software Engineer specializing in cloud-native backend systems

Long Beach, California5y exp
HoneywellCalifornia State University, Long Beach
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OT

Mid-Level Full-Stack Software Engineer specializing in cloud, web apps, and GenAI

Long Beach, CA3y exp
FordArizona State University
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VS

Senior Full-Stack Engineer specializing in AI-driven SaaS platforms

Huntington Beach, CA7y exp
EnerfloRochester Institute of Technology
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MR

Manish Reddy

Screened

Mid-level Backend Engineer specializing in distributed microservices and event-driven systems

Los Angeles, CA3y exp
Kore.aiCal State San Bernardino

Software engineer (Yellow.ai) who built and productionized an AI-driven resume tailoring system using embeddings + Chroma RAG + QLoRA fine-tuning, deployed via Docker/Kubernetes with CI/CD on a CPU-only Oracle VM. Demonstrates strong reliability/evaluation rigor (custom hallucination/coverage/relevance metrics) and measurable business impact, including a 60% user satisfaction lift from improving chatbot intent accuracy with product and support teams.

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AS

Mid-Level Software Engineer specializing in backend systems and integrations

Los Angeles, CA3y exp
Violet LabsChapman University

Full-stack engineer from seed-stage Violet Labs who owned an end-to-end production "compare push results" feature for external integrations, including solving tricky false-positive success cases by validating against internal entity hashes and confirmed integration events. Experienced building React/TypeScript SPAs with a Node + Postgres backend, deploying via AWS/Kubernetes, and setting up CloudWatch logging/metrics/alarms with SNS paging.

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Sowmya Kasu - Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices in Northridge, CA

Sowmya Kasu

Screened

Mid-Level Software Engineer specializing in Healthcare IT and cloud-native microservices

Northridge, CA6y exp
Kaiser PermanenteCalifornia State University, Northridge

Backend/ML engineer with healthcare experience at Kaiser Permanente building HIPAA-compliant Java/Spring Boot + GraphQL APIs integrated with Epic HealthConnect, including hands-on reliability/performance debugging using Prometheus/Grafana and resolver-level N+1 elimination. Also built an end-to-end malaria parasite detection ML feature (CNN/R-CNN) with evaluation, guardrails, and workflow integration, and has experience designing robust state-machine-based automation with retries, DLQs, and alerting.

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Sai Leela Kuragayala - Mid-level Full-Stack Software Engineer specializing in scalable web apps and automation in Los Angeles, CA

Mid-level Full-Stack Software Engineer specializing in scalable web apps and automation

Los Angeles, CA5y exp
S&S Fashions Inc.NJIT

UE5 UI engineer who has shipped production-ready HUD/menu frameworks using C++/Slate/UMG and CommonUI, emphasizing MVVM-style architecture for maintainability and designer-friendly iteration. Strong in UI profiling/optimization (Unreal Insights + Slate Profiler), including Slate list virtualization and event-driven updates that improved UI frame time by ~30% in heavy menu scenarios.

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NB

Executive CTO / Software Architect specializing in GenAI, FinTech, and PropTech

Los Angeles, California17y exp
American ExpressUniversity of Advancing Technology

Entrepreneur/fintech product builder who raised a $100K pre-seed from ex-Google/Microsoft execs and built a real-time, direct-to-vendor bill pay micropayments platform. Previously helped scale Norton LifeLock to 1M users (2003) and also created Karma LA, a fraud-resistant, verified donation system (including VA veteran verification) aimed at improving trust and conversion in giving.

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DS

David Sigal

Screened

Executive-level Software Engineering Leader specializing in Healthcare AI

Los Angeles, CA15y exp
Phoenix AIUC Santa Barbara

Backend engineer who has built end-to-end data and platform systems across domains: a Scala/Java media data warehouse with a custom query language and Elasticsearch search, plus production security patterns (RBAC, RLS, audit trails) including a telehealth platform. Also demonstrated strong operational rigor by using feature-flagged side-by-side migrations and by catching ecommerce checkout edge cases that were dropping revenue.

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PR

Senior Full-Stack Software Engineer specializing in IIoT, Edge AI, and real-time analytics

Los Angeles, CA9y exp
Career Soft SolutionsCal State East Bay

Full-stack engineer who built an end-to-end low-code/no-code IDE for creating AI/ML workflows for industrial IoT sensors using Next.js/TypeScript and NestJS microservices. Focused on scaling high-volume sensor dashboards—improved UX and performance via WebSockets, debouncing, pagination, and API payload reduction—validated with profiling tools and user feedback in a startup environment.

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