Vetted JavaScript Professionals

Pre-screened and vetted.

Sandeep Rohilla - Principal Platform Engineer specializing in AI-driven document automation in San Francisco, CA

Principal Platform Engineer specializing in AI-driven document automation

San Francisco, CA20y exp
MyResumeStar.comUSC

Backend engineer who built an event-driven, multi-service resume review system integrating AI/ML workflows. Demonstrated strong performance engineering (e.g., composite indexing dropping latency from ~600ms to ~35ms and major P95 gains) and high-throughput pipeline optimization via caching, batching, and worker concurrency tuning, with multi-tenant isolation implemented across DB and Redis.

View profile
ML

Megan Lie

Screened

Mid-Level Full-Stack Engineer specializing in web, e-commerce, and game development

San Francisco, CA4y exp
Grublify Inc.UC Berkeley

Bootstrapped-startup CTO and former founding engineer who has built products end-to-end as a solo developer across web and games. Led Grublify’s Next.js/TypeScript site (Strapi + Shopify), including a blog that reached ~5k monthly visitors and performance work like progressive loading/infinite scroll. Also implemented a resilient USDA nutrition ingestion pipeline with retries, partial-failure handling, and computed nutrient metrics.

View profile
KN

Ken Ng

Screened

Senior Gameplay Engineer specializing in AAA game systems and Unreal Engine

11y exp
SupercellDigiPen Institute of Technology (Singapore)

Unity/C# gameplay engineer who has shipped across console/PC/VR and mobile, including Ace Combat 7 (VR) and mobile titles. Built monetization-impacting gameplay systems (power-ups) and a full server-authoritative multiplayer architecture, and uses LLM-driven editor tooling and multi-agent workflows to rapidly prototype features while adding automated testing, benchmarking, dashboards, and CI/CD.

View profile
greg farhadian - Senior Software Engineer specializing in cloud data platforms and Java microservices in Remote

Senior Software Engineer specializing in cloud data platforms and Java microservices

Remote4y exp
IBMUC Irvine

Backend/data engineer with experience building Kafka-driven real-time pipelines that support ML code deployment and downstream integrations. Currently migrating high-throughput mainframe (COBOL/assembly) processing to Java, using Spark/Databricks to preserve performance and employing rigorous A/B testing across dev/pre-prod/prod with years of historical data.

View profile
Daksh Jain - Mid-Level Software Development Engineer specializing in AWS streaming media platforms in Portland, OR

Daksh Jain

Screened

Mid-Level Software Development Engineer specializing in AWS streaming media platforms

Portland, OR3y exp
AmazonUC Davis

Full-stack engineer with hands-on Next.js App Router + TypeScript experience (built a RateMyProfessor-style platform end-to-end using RSC, dynamic routing, debounced search, and cache invalidation). Also has AWS backend depth—built a Step Functions-based wave rollout/feature access control framework for MediaPackage V2 with idempotency, retries, rollback, and ongoing correctness reconciliation.

View profile
Joseph Leybovich - Senior Unity Engineer specializing in XR and game development in Culver City, CA

Senior Unity Engineer specializing in XR and game development

Culver City, CA13y exp
Left Field LabsFull Sail University

Unity/C# gameplay engineer with hands-on experience shipping end-to-end game systems, including a story mode pipeline on Marvel Mighty Heroes that supported designers directly and improved player retention. Also brings experimental AI/LLM and VR experience from Meta hackathons plus Photon multiplayer and cross-platform VR/mobile prototyping expertise.

View profile
Yash Jajoo - Senior Software Engineer specializing in AI and FinTech platforms in New York City, NY

Yash Jajoo

Screened

Senior Software Engineer specializing in AI and FinTech platforms

New York City, NY8y exp
Walter AINew York University

Built a production LLM pipeline at Walter AI that scans massive user inboxes, identifies financial newsletters, and extracts trading strategies into structured JSON for downstream paper-trading workflows. Stands out for combining agent architecture with strong production discipline—cutting scan time from 20 to 5 minutes, reducing LLM costs by 90%, and achieving 3-second P99 latency while handling messy, inconsistent email data at scale.

View profile
SP

Mid-level AI Engineer specializing in machine learning and healthcare research

Philadelphia, PA4y exp
The Wharton School, University of PennsylvaniaUniversity of Pennsylvania

Backend engineer with end-to-end ownership of scientific and AI-powered systems, including neuron imaging pipelines at Monell Chemical Senses Center and an LLM-based structured information extraction platform for Wharton and PSG. Stands out for turning messy, compute-heavy workflows into reliable production backends with measurable impact, including saving researchers over 50 hours per week.

View profile
Richard Ferguson - Executive technology leader specializing in government, cloud, and cybersecurity in Reno, NV

Executive technology leader specializing in government, cloud, and cybersecurity

Reno, NV31y exp
Coleridge InitiativeGeorgetown University

Founder with a bootstrapped startup who navigated early hiring and scaling by leveraging contractor talent before converting key contributors to full-time employees. Active in Northern Nevada's startup ecosystem through Generator and StartupNV, and notably declined angel/VC offers to preserve equity because of strong conviction in a differentiated product and its market fit.

View profile
Xingyu Chen - Junior Machine Learning Engineer specializing in generative AI and computer vision in Atlanta, GA

Xingyu Chen

Screened

Junior Machine Learning Engineer specializing in generative AI and computer vision

Atlanta, GA1y exp
PicsartUCLA

Built production AI features for image editing and object removal, including an agent that guides users to the right pipeline, validates inputs, refines prompts, and routes requests to GPU-backed generation services. Brings hands-on experience across multimodal control, generative model optimization, and post-launch iteration driven by failure analysis and user feedback.

View profile
OA

Omar Ali

Screened

Entry-level Data Scientist specializing in AI evaluation and analytics

San Francisco, CA1y exp
OpenAIUC San Diego

Built both traditional data infrastructure and LLM-powered product workflows, spanning a Python/SQL ETL deployment at Amazon and an adaptive learning system for their DataLingo platform. Particularly interesting for roles at the intersection of data engineering, applied AI, and customer-facing product delivery, with hands-on experience stabilizing probabilistic LLM systems in production.

View profile
NH

Mid-level Full-Stack Engineer specializing in cloud-native data and enterprise platforms

USA5y exp
AmazonUniversity of Cincinnati

Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.

View profile
Robert Davis - Staff Software Engineer specializing in backend and distributed systems in Remote, US

Robert Davis

Screened

Staff Software Engineer specializing in backend and distributed systems

Remote, US19y exp
InovalonGeorgia Tech

Backend engineer who co-launched SkyKick’s Office 365 SharePoint/Exchange backup product, built the MVP, and then architected and led its design for 9 years. Stands out for high-scale systems expertise, including an algorithmic redesign that cut cloud costs by an order of magnitude, plus earlier experience integrating speech recognition systems in noisy real-world customer environments.

View profile
RH

Roni HE

Screened

Mid-level Software Engineer specializing in distributed systems and ML infrastructure

Palo Alto, CA6y exp
AmazonRithm School

Senior software engineer candidate who uses AI and multi-agent workflows thoughtfully to speed up development while preserving engineering rigor for production-critical decisions. Stands out for a clear risk-based framework: leveraging agents for boilerplate, refactoring, testing, and debugging, while relying on fundamentals, metrics, and human review for system design and scalability.

View profile
Akhilesh Patil - Junior AI/ML Engineer specializing in FinTech and generative AI in Remote, USA

Junior AI/ML Engineer specializing in FinTech and generative AI

Remote, USA2y exp
StripeSan Jose State University

Built an end-to-end AI bug triage dashboard that combined React/TypeScript, FastAPI, Postgres, and classical ML to reduce manual engineering triage work by about 40%. Stands out for pragmatic, product-minded AI engineering: choosing interpretable models when they were sufficient, designing human-in-the-loop UX for trust, and separately building an agentic RAG project with vector search, Neo4j knowledge graphs, and reranking.

View profile
Ethan Hu - Entry-level Software Engineer specializing in full-stack and embedded systems in Seattle, WA

Ethan Hu

Screened

Entry-level Software Engineer specializing in full-stack and embedded systems

Seattle, WA1y exp
QualtricsUniversity of Washington

Backend/full-stack engineer on Qualtrics' Online Samples team working on audience sampling systems and APIs used by researchers. They have hands-on ownership of TypeScript/React/Express services, emphasize multi-layer testing and production observability with Splunk/VictorOps, and have built APIs for both internal and external developers.

View profile
BW

Boyun Wang

Screened

Junior AI Agent Engineer specializing in regulated healthcare software

Berkeley, CA3y exp
Echelon DiagnosticsUC Berkeley

Built and deployed PIKA, an internal multi-agent platform for FDA-regulated software development, owning it from concept through production. The candidate combines strong full-stack engineering with rigorous LLM orchestration, human-in-the-loop controls, and production eval systems, delivering measurable impact: 3x more design issues caught, ~90% fewer false positives, and ~40% efficiency gains on documentation-heavy workflows.

View profile
TP

Staff systems engineer specializing in semiconductor automation and OT cybersecurity

Linthicum, MD11y exp
Northrop GrummanGeorgia Tech

Solutions engineer with recent experience in semiconductor and manufacturing SaaS, spanning pre-sales demos, SOW/POC authoring, on-site deployments, and production integrations. Particularly notable for bridging factory-floor equipment, on-prem Java applications, and Azure cloud systems, while also operating in highly regulated NIST 800-53 defense environments.

View profile
AP

Apnav Poptani

Screened

Senior Software Engineer specializing in distributed systems and compliance platforms

Seattle, WA8y exp
AmazonUniversity of North Carolina at Charlotte

Software engineer with experience spanning early-stage startup architecture and large-scale Amazon product development. They’ve driven search and data-platform decisions in a 20-person startup, built full-stack React/Python tools that automate internal workflows, and shipped marketplace expansion and personalization features impacting 200k sellers and millions of end users.

View profile
NM

Naim Miah

Screened

Senior Software Engineer specializing in FinTech and AI-powered backend systems

Philadelphia, PA9y exp
VanguardGeorgia Tech

Full-stack engineer with experience spanning a lean startup at AppLovin and production financial systems at Vanguard. They’ve built core user-facing platforms from scratch, including a B2B advertiser/publisher dashboard and a resilient client onboarding system using Spring Boot, NestJS, Postgres, Kafka, Redis, and AWS. Particularly strong in ambiguous environments where they work directly with stakeholders and own delivery end to end.

View profile
Josh Rhoades - Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms in Los Angeles, CA

Josh Rhoades

Screened

Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms

Los Angeles, CA30y exp
Therapy IQ

Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.

View profile
Kevin Hoffman - Director-level product and engineering leader specializing in distributed systems and cloud platforms in Windsor, CT

Kevin Hoffman

Screened

Director-level product and engineering leader specializing in distributed systems and cloud platforms

Windsor, CT16y exp
Akka

Former CTO and co-founder of Cosmonic who led technology vision, roadmap, and team building while also serving as the technical lead in investor and VC meetings. Has hands-on experience supporting seed and Series A rounds, plus strategic exposure to later-stage fundraising at Synadia, combining startup-building depth with a pragmatic view of risk and business viability.

View profile
MM

Senior Full-Stack Software Engineer specializing in FinTech/PropTech platforms

Belgrade, Serbia18y exp
Microsoft

Former multi-startup CTO with experience supporting successful capital raises and working directly with boards/investors. Known for implementing operational systems that reduce client escalations (e.g., a status/semaphore overview board) and for building UX-forward MVPs that evolve into automated platforms, including a loan underwriting system for a small US lender.

View profile
Nicholas Zamboli - Senior Frontend Engineer specializing in cloud platforms and high-performance web apps in Johnston, RI

Senior Frontend Engineer specializing in cloud platforms and high-performance web apps

Johnston, RI11y exp
Amazon

Frontend engineer with hands-on experience building heavy visualization products, including a real-time warehouse robotics SPA and a Zillow-like real estate mapping application. Stands out for combining React/TypeScript UI engineering with Three.js and ESRI-based map rendering, plus practical performance optimization for large assets, live data, and layered geospatial interfaces.

View profile

Need someone specific?

AI Search