Vetted JavaScript Professionals

Pre-screened and vetted.

CM

Senior Full-Stack Engineer specializing in React, Python/Django, and AWS

Hawthorne, CA13y exp
SpaceXUniversity of Florida
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KS

Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms

Cracow, PL10y exp
GoogleMaynooth University
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SM

Stephen Madsen

Screened ReferencesStrong rec.

Senior Unity Developer specializing in XR/VR, gameplay systems, and AI-integrated experiences

Remote, USA18y exp
MetaFull Sail University

Unity/C# gameplay engineer with rare depth at the intersection of MR, multiplayer, and generative AI, including work on Meta Quest experiences such as First Encounters. They have architected real-time AI content pipelines, integrated LLM/VLM systems into Unity via Python/REST orchestration, and solved hard production problems around Quest performance, networking, and player experience.

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Tolulope Akinlabi - Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk in Lanham, MD

Tolulope Akinlabi

Screened ReferencesStrong rec.

Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk

Lanham, MD6y exp
DeloitteUniversity of Pennsylvania

Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.

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CC

Cody Christ

Screened

Senior Software Engineer specializing in AI, full-stack platforms, and real-time systems

Boston, MA12y exp
BigRioNational University of Singapore

Built end-to-end AI analytics experiences spanning React/TypeScript, serverless APIs, and Postgres, with a strong focus on streaming UX, observability, and reliability. Stands out for turning ambiguous AI product ideas into shippable MVPs, then abstracting repeated patterns into reusable orchestration and multi-tenant configuration systems that improved speed, consistency, and maintainability.

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AS

Senior Software Engineer specializing in Healthcare AI and FinTech platforms

Baton Rouge, LA13y exp
GoogleLouisiana State University

Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.

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BH

Senior Full-Stack Software Engineer specializing in AI/LLM and cloud platforms

9y exp
ResultStackStony Brook University
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CF

Senior Full-Stack AI Engineer specializing in generative AI and cloud platforms

Houston, TX11y exp
AdobeTexas Tech University
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David Song - Senior Full-Stack Software Engineer specializing in cloud, payments, and telehealth in Baltimore, MA

Senior Full-Stack Software Engineer specializing in cloud, payments, and telehealth

Baltimore, MA13y exp
AmazonUCLA
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HW

Mid-level Site Reliability Engineer specializing in cloud infrastructure and AI-driven reliability

Seattle, WA4y exp
GoogleUSC
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JW

Staff Software Engineer specializing in SaaS platforms across Healthcare and FinTech

Katy, TX11y exp
AmwellUniversity of Texas at Austin
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Remote14y exp
AmazonUniversity of Texas at Dallas
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BK

Senior Software Engineer specializing in distributed systems and cloud infrastructure

New York, NY8y exp
GoogleNYU Tandon School of Engineering
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MB

Senior Frontend Engineer specializing in scalable UI systems and performance optimization

San Francisco, CA12y exp
AdobeUC Berkeley
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RL

Senior AI/ML Engineer specializing in LLM systems and FinTech platforms

Princeton, NJ10y exp
BloombergUniversity of Maryland, College Park
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JD

Senior Software Engineer specializing in payments and distributed systems

Mountain View, CA12y exp
GoogleRutgers University–New Brunswick
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CB

Senior Software Engineer specializing in cloud-native microservices and large-scale backend systems

Houston, TX10y exp
GoogleUniversity of Texas at Austin
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Padmaja Tyada - Executive engineering leader specializing in cloud, AI, and FinTech platforms in San Jose, CA

Padmaja Tyada

Screened ReferencesStrong rec.

Executive engineering leader specializing in cloud, AI, and FinTech platforms

San Jose, CA25y exp
Channel Core Inc.University of Hyderabad

Engineering leader with experience scaling teams from 25 to 60+ and delivering both enterprise platform modernization and AI-native product innovation. At Experian, he led an AWS transformation of a high-volume credit platform serving 250M+ consumers, achieving 10x performance gains and 30% cost reduction; at Channel Core, he built AI-powered creator tools using OpenAI and RAG that improved adoption and personalized outreach outcomes.

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Nicholas Ogura - Executive Platform & Security Engineering leader specializing in multi-cloud Kubernetes and FinTech in San Diego County, USA

Nicholas Ogura

Screened ReferencesStrong rec.

Executive Platform & Security Engineering leader specializing in multi-cloud Kubernetes and FinTech

San Diego County, USA18y exp
Terrace

Startup-focused infrastructure/security leader who stepped into head of engineering and re-platformed an entire product end-to-end in 3 months to meet launch. In crypto/fintech, recognized the market-data system as an ETL/data product and rebuilt it as a separable, securely accessible platform—prompting inbound interest within a week—while advocating an open-source-first observability stack (Prometheus/Grafana/Loki) to avoid vendor lock-in.

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Denis Siminiuc - Junior Research Assistant specializing in LLMs, NLP, and data systems in Cambridge, MA

Junior Research Assistant specializing in LLMs, NLP, and data systems

Cambridge, MA3y exp
MIT CSAILMIT

Software-focused candidate who built a data monitoring pipeline during a hedge fund internship, integrating real databases and an email API to notify teams when data was ready. Comfortable working through legacy/scrappy code and uses LLMs to accelerate comprehension and delivery, with an emphasis on thorough testing and clear communication with stakeholders/customers.

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Kyle Warneck - Director-level Frontend Engineer specializing in high-scale web platforms in Alameda, CA

Kyle Warneck

Screened

Director-level Frontend Engineer specializing in high-scale web platforms

Alameda, CA13y exp
Epic GamesPomona College

Former Epic Games engineering leader who built the web foundation of the Fortnite creator ecosystem, joining as the first web developer and scaling the team to 21 engineers as the platform grew to tens of thousands of creators and tens of millions of players. Combines deep frontend architecture expertise with backend/infrastructure ownership, observability, and product leadership across publishing, trust and safety, economy, analytics, and public APIs.

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michael avrahamov - Executive engineering leader specializing in AI-first SaaS and cloud platforms in San Francisco Bay Area, CA

Executive engineering leader specializing in AI-first SaaS and cloud platforms

San Francisco Bay Area, CA22y exp
ServiceNowTechnion – Israel Institute of Technology

Senior engineering executive who operated as an org-level CTO at both ServiceNow and Oracle, leading global teams up to 150 engineers and driving cloud-native, multi-tenant platform architecture. Particularly strong in observability, streaming systems, and security, with experience delivering large-scale systems ingesting data from millions of agents while building high-performing, high-DORA engineering organizations.

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JM

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference

Bay Area, CA5y exp
MetaSoutheast Missouri State University

ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.

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