Vetted JavaScript Professionals

Medi Val

Screened

Executive technology leader specializing in AI, digital strategy, and business transformation

Toronto, Canada25y exp

“Candidate reports being highly familiar with the venture capital and accelerator landscape, citing past experience working with VC-related environments at WINR Games and BioSymetrics. The interview ended early when the candidate withdrew their application, so detail is limited.”

Shashwat Negi

Screened

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

San Jose, CA3y exp

“Data Scientist (2–3 years) at ZS Associates who has built and productionized agentic LLM systems, including a LangGraph-based multi-LLM prompt-optimization pipeline for entity extraction deployed as a Spring Boot microservice via Jenkins. Also built an Insightmate.ai chatbot and improved its RAG accuracy by diagnosing vector retrieval issues and implementing HyDE query expansion, while partnering with sales and pharma stakeholders to drive adoption (e.g., Zimmer Biomet platform migration into a multi-year partnership).”

“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”

“Built and owned VividCraft end-to-end, a production AI platform spanning a TypeScript/Next.js frontend and a Python backend with FastAPI, Celery, Redis, PostgreSQL, and AWS. Stands out for reliability-focused systems thinking: designed idempotent job orchestration across 9 AI providers, shipped with extensive automated test coverage, and reports zero production regressions after launch plus zero credit loss through provider outages.”

Ellen Lo

Screened

Mid-level Game Developer specializing in XR, AR, and multiplayer Unity experiences

Remote5y exp

“Gameplay programmer with hands-on experience shipping VR systems in Unity/C#, including a quest-based onboarding flow for the VR MOBA Crystal Conquest that became a core part of the player experience as the game expanded. Brings a mix of gameplay architecture, Photon Fusion multiplayer implementation, Quest optimization, and practical AI-assisted development workflows using Claude Code and Unity MCP.”

“Aspiring founder focused broadly on the AI space, with no startup yet and novice familiarity with venture capital and accelerators. They are actively acclimating to the startup ecosystem through hackathons and meetup groups and express a strong all-in commitment to entrepreneurship.”

“ML/AI engineer with hands-on experience building production MLOps systems for predictive maintenance and demand forecasting, including deployment, monitoring, and iterative retraining. Also shipped a RAG-based employee onboarding chatbot integrated with ServiceNow APIs and reports business impact of roughly $300k/month in reduced stockout and overstock costs.”

“Full-stack JavaScript engineer (React/Node/Vue) who has operated like a maintainer by owning an internal component library with Storybook-style examples, documentation, and non-breaking versioning. Demonstrated strong performance engineering on a source code review service—profiling bottlenecks, fixing N+1 queries, adding caching, and trimming payloads to cut latency (e.g., ~100ms to <50ms) while rolling out incremental, test-backed improvements.”

“Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.”

Meet Vyas

Screened

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

Tempe, AZ3y exp

“Software engineer with 3 years at Gap Inc. who led a major modernization from monolith/legacy frontend to a React and Spring Boot microservices architecture, delivering 25% cost savings, 30% faster releases, and 50% performance gains. Also built a 0→1 startup product, MealShare AI, using managed cloud services to rapidly launch a real-time food redistribution platform.”

“Built a production-grade LLM document processing and workflow orchestration platform at CBRE for internal operations teams, handling highly variable long-form documents with a reusable architecture involving 50+ coordinated LLM calls per request. Stands out for treating agentic systems like distributed backend infrastructure, with strong emphasis on evaluation, observability, reliability, and vendor-agnostic orchestration across Bedrock, Vertex AI, and OpenAI.”

Surya Ravula

Screened

Junior Software Engineer specializing in backend systems and AI automation

Hyderabad, India2y exp

“Backend/platform engineer with Boston Scientific experience building secure healthcare integrations, resilient AWS data pipelines, and a production internal LLM support chatbot. Stands out for combining legacy-system modernization, strong reliability practices, and measurable operational impact in regulated healthcare environments.”

“Engineer focused on AI-assisted software development and enterprise legacy modernization, with hands-on experience designing multi-agent workflows for code analysis, business logic extraction, BRD generation, and validation. Stands out for combining prompt design and agent orchestration with strong engineering discipline, including testing, CI/CD, and human review checkpoints.”

Amit Verma

Screened

Mid-level Java Full-Stack Engineer specializing in healthcare and enterprise microservices

Birmingham, AL6y exp

“Developer who actively integrates AI tools like Copilot, ChatGPT, and Cursor into day-to-day coding, testing, debugging, and framework learning to improve delivery speed. They also organize multi-agent workflows across code generation, review, testing, and documentation while retaining final ownership of quality and architecture decisions.”

“Built both a React/Supabase kanban product and CodeVoyage, a multi-agent platform for navigating large TypeScript/Node.js codebases. Stands out for being unusually rigorous about AI-assisted development: they quantify AI usage, manually verify generated code, and have firsthand experience debugging failures in persistence layers, retrieval quality, and long-context agent orchestration.”

“Engineer at Morgan Stanley working on AI-enabled trade surveillance and compliance routing systems. They’ve built and monitored chained agent workflows for retrieval, risk classification, and alert routing, with strong emphasis on auditability, hallucination prevention, and regulated-environment reliability.”

“Graduate student who has built both full-stack web products and an offline Android AI assistant for visually impaired users. Particularly interesting for roles spanning product engineering and applied AI, with hands-on experience in on-device ML, privacy-sensitive deployment, and making complex AI interactions usable for non-technical users.”

Alfred Nguyen

Screened

Entry-level Full-Stack Developer specializing in web and mobile apps

Santa Cruz, CA1y exp

“Full-stack developer who has built multiple end-to-end products including a flight search platform, an AI-powered personal finance app, and a React Native workout app. Particularly interesting for teams needing someone who can combine modern React/Next.js frontend work with backend APIs, AI integrations, and pragmatic performance optimization in production-style projects.”

“Built and significantly owned enterprise project-finance dashboards at Publicis Sapient, with a strong focus on performance, data freshness, and trust for demanding finance users. Stands out for diagnosing problems across both the browser and data layers—optimizing SQL, reducing DOM load, and redesigning interactions so users stopped exporting to spreadsheets and worked directly in the live dashboard.”

Sadiya Bhawania

Screened

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

California, USA5y exp

“Full-stack TypeScript engineer with early-stage startup experience (HomePulse; sole US engineer) who ships and owns production features end-to-end—routing/state design, API contracts, caching/pagination, and post-launch monitoring/optimization. Has delivered performance-sensitive React UIs (virtualized large datasets, React Query caching, Suspense loading patterns) and built durable job-queue workflows with idempotency/retries, plus SQL Server relational modeling for internal ticketing and knowledge-retrieval workflows.”

“Software engineer focused on internal platform and workflow automation, with hands-on experience building a React/TypeScript + .NET/MSSQL application that streamlined laptop provisioning for employees. Also contributed in a very early-stage startup setting by introducing Agile process and helping shape initial architecture, and is now expanding Python/AI skills while looking to deepen Go and Kubernetes expertise.”

“Built and shipped enterprise AI products including a conversational SQL analytics platform and a production RAG system at Johnson & Johnson. Combines full-stack engineering with LLM systems expertise, and has delivered measurable impact at scale, including 48% lower retrieval latency and 37% better response relevance across 12M+ records.”

“Frontend/product engineer with strong ownership on complex, high-impact internal and government-facing products. Most notably built an intake data portal for a federal agency with dynamic form building, versioning, permissions, and migrations that exceeded adoption expectations by 300% and expanded to agency-wide use while reducing manual work by roughly a week per month.”