Vetted React Professionals

“AI/ML engineer with hands-on experience owning production deployments from discovery through post-launch stabilization, including real-time computer vision/OCR systems and LLM-powered RAG workflows. Stands out for translating messy customer workflows into reliable backend services, debugging non-deterministic retrieval issues, and hardening AI systems with validation, monitoring, and human-review fallbacks.”

“Full-stack engineer who has owned both institutional and personal products end-to-end, including Rutgers' myCommunity platform used by 70,000+ students. Particularly strong in production systems, data synchronization, authentication, and third-party API integrations, with a pragmatic approach to shipping, observability, and UI modernization.”

“Led a government smart city deployment where success depended less on pure engineering and more on navigating policy, budget, and operational constraints. Built phased, cost-conscious systems combining data pipelines, on-prem AI, OCR, and human-in-the-loop workflows to deliver stable production outcomes and make ambiguous real-world data more controllable at scale.”

“Built and deployed a Unity-based, NSF-funded medical interaction system for the University of Houston MRI Lab, combining speech recognition, LLaMA-based function calling, and real-time simulation controls. Particularly strong in taking experimental AI systems from discovery through stabilization, with measurable impact including roughly 50% faster task completion than traditional point-and-click workflows.”

“AI/ML engineer with 9+ years of experience building production recommendation and LLM systems end-to-end, from experimentation through deployment, monitoring, and retraining. Stands out for combining strong MLOps discipline with practical GenAI/RAG implementation, including measurable impact such as ~25% higher engagement on an e-commerce recommender and nearly 30% faster knowledge retrieval from internal documents.”

“Full-stack JavaScript engineer with hands-on ownership of a retail loyalty platform spanning Next.js on Vercel and NestJS microservices on Azure. Stands out for designing complex real-time and event-driven flows, including Bluetooth-connected React Native work, shared TypeScript contracts across frontend/backend, and production reliability patterns like webhooks, revalidation, logging, and retry Cron jobs.”

“Full-stack engineer with hands-on experience building finance and contract management products, including a React/Redux dashboard and an automated reconciliation system integrating internal platforms with QuickBooks. Stands out for combining frontend architecture and performance work with backend/API, SQL reconciliation logic, and real finance operations domain knowledge.”

Joseph Heaney

Screened

Mid-level Data Engineer specializing in ETL pipelines, BI, and cloud data platforms

Brooklyn, NY3y exp

“Data- and backend-leaning full-stack candidate with hands-on experience building Python ETL pipelines, complex SQL reporting, and Power BI infrastructure at Eastman. They improved internal operations by consolidating a multi-sheet task workflow into a simpler automated system and have repeatedly delivered reporting solutions by iterating directly with business stakeholders under ambiguous requirements.”

Ankit Gupta

Screened

Junior Software Engineer specializing in backend systems and AI applications

India2y exp

“Engineer who independently shipped pagination for a global financing platform handling large financial datasets, including accounts with roughly 25,000 securities. Stands out for using AI pragmatically—accelerating boilerplate while rigorously reviewing data contracts, ordering assumptions, access control, and production reliability in a financial domain.”

“Full-stack engineer who built WordCon, an AI-powered vocabulary learning platform, end-to-end across React/Next.js, Python, AWS, and GenAI services. Particularly strong at turning ambiguous AI product ideas into structured, scalable systems by combining deterministic learning logic with LLM-powered personalization, and has additional experience modernizing legacy PHP systems into React/Node architectures.”

“Frontend engineer with experience building a technically demanding weather broadcasting dashboard in React and TypeScript, including custom wind-particle map visualizations derived from raw weather data. Demonstrates practical performance optimization in both heavy map rendering and large dynamic forms.”

“Frontend-focused engineer with experience building internal editorial tools at Healthcentral using React, TypeScript, Redux Toolkit, Node.js, and MongoDB. Stands out for simplifying complex CMS workflows and solving real production performance issues, including a JW Player migration optimized with a facade-based lazy-loading approach.”

“Full-stack product engineer with experience spanning supply chain, healthcare, and AI-powered consumer products. Built a visual procurement workflow automation engine that reduced approval cycles from days to hours and eliminated compliance boundary errors, and also developed KindleAI, a context-aware e-reader using RAG, Qdrant, and voice interaction.”

“Full-stack and AI product engineer with strong accessibility and voice-interface experience in senior living, building systems for older adults where trust and usability are critical. Has shipped React/TypeScript and .NET MAUI products, productionized Azure OpenAI features, built RAG-based research tools, and improved both product outcomes and technical performance with measurable impact.”

“Built a production-grade clinical and insurance document AI system in a HIPAA/PHI-regulated environment, taking it from experimentation through Azure deployment, monitoring, and iterative improvement. Stands out for translating RAG/LLM research into reliable microservices with strong safety controls, drift monitoring, and human-in-the-loop workflows that cut manual review time by 60-70%.”

“Full-stack engineer with strong AWS operations experience who helped replace a long-standing manual logistics reporting process by building a production-grade, event-driven On-Time-Performance rules system. Personally owned the Vue-based rule configuration frontend end-to-end (design collaboration through QA/UAT and post-release support) and measures success via accuracy validation against historical data, reduced manual adjustments/tickets, and system latency/error metrics.”

Emma Choudhary

Screened

Senior Full-Stack Software Engineer specializing in Python, Django, and Generative AI

United States6y exp

“Backend/data engineer with hands-on production experience building partner-facing Python APIs (FastAPI, Celery, Postgres/Redis) and AWS serverless data platforms (Lambda, SQS, Step Functions, Glue). Emphasizes reliability and governance—JWT tenant-scoped auth, secrets/config hygiene, data-quality quarantine, and incident ownership—plus measurable SQL tuning that eliminated timeouts and stabilized reporting workloads.”

“Frontend engineer who has led end-to-end delivery of internal and analytics dashboards in React + TypeScript, with a strong emphasis on scalable architecture, disciplined state separation, and performance under real-time data loads. Uses practical profiling (React Profiler/DevTools), virtualization, and feature-flagged rollouts with solid QA and rapid post-launch iteration to keep quality high as products scale.”

“Early-career automation/workflow builder who has owned small-scale end-to-end implementations (discovery through stabilization), using tools like Zapier, Google Sheets, and Airtable with strong validation and troubleshooting habits. Built and tested a production-style RAG application on AWS Bedrock (S3 + Knowledge Bases + embeddings + OpenSearch + retrieve-and-generate) with a Streamlit UI to deliver more grounded, context-aware document Q&A.”

Hashir Saeed

Screened

Senior Performance Marketing Specialist specializing in paid media growth

Remote, Pakistan5y exp

“Performance marketer with hands-on ownership of a $70K/month Google Ads account and a clear full-funnel approach spanning YouTube, Search, Shopping, Meta, and TikTok. He combines structured experimentation with practical account auditing and website/UIUX optimization, citing a 20% ROAS lift and 15% CPA reduction over four months.”

Kathan Patel

Screened

Mid-level Generative AI Developer specializing in Python and LLM applications

5y exp

“Currently working on Kavia AI, an end-to-end AI coding platform that lets users generate enterprise applications from prompts and existing codebases via SCM integrations. The candidate has hands-on experience across the GenAI stack—prompt engineering, LangGraph-based multi-agent orchestration, RAG, knowledge graphs, FastAPI, and AWS monitoring—with a focus on making software creation accessible to non-technical users.”