Vetted React Native Professionals

George Platon

Screened

Principal Full-Stack Engineer specializing in AI, DevOps, and cloud platforms

Romania, Romania16y exp

“Built a production end-to-end AI video-to-reels clip extraction system using a multi-agent architecture with transcription, captioning, effects generation, and centralized orchestration. Demonstrates unusually strong systems thinking around reliability, observability, evaluation, and production tradeoffs for LLM-powered workflows, including Kubernetes/Kafka-based deployment and regression-driven prompt governance.”

Shady Alzayat

Screened

Executive engineering leader and full-stack builder specializing in platforms, payments, and healthcare

San Francisco, CA20y exp

“Serial entrepreneur building appetier.com, an agentic restaurant marketing and ecommerce automation platform for restaurants. Previously raised for Atlas Mental Health and brings thoughtful fundraising perspective centered on investor alignment, GTM partnership, and vertical SaaS/SMB infrastructure expertise.”

Nathan Holmes-King

Screened

Junior Data Scientist and Full-Stack Developer specializing in healthcare and matching systems

Iceland4y exp

“Solo builder developing their own app and using generative AI tools like Codex to both troubleshoot and write code. They taught themselves React and React Native over the past year through hands-on AI-assisted development and handle all technical work independently.”

“Full-stack developer who has built and shipped both traditional web products and AI-powered applications, including a Spotify playlist-combining app, a recruiter-facing RAG chatbot embedded in a portfolio, and a fine-tuned GPT-2 art review generator. Stands out for combining privacy-conscious engineering, practical LLM guardrails, and scrappy production problem-solving—from queue-based inference systems to newsroom digital transformation with multi-tenant WordPress.”

“AI/backend engineer who has built multiple applied AI systems end-to-end, including an underwriting document intelligence copilot, ambient clinical documentation workflows, and a financial analysis agent. Stands out for combining practical LLM architecture choices with reliability mechanisms like human-in-the-loop review, eval frameworks, and grounded retrieval in production settings.”

Michael Adeniyi

Screened

Mid-level Full-Stack & AI Engineer specializing in LLM-integrated cloud applications

New York, NY3y exp

“Built an AI immigration compliance co-pilot for F1 OPT and STEM OPT students, combining rule-based risk assessment with LLM-powered guidance on a React/TypeScript and AWS serverless stack. Stands out for thoughtful handling of high-risk AI: grounding responses in structured compliance data, adding guardrails, and keeping legal interpretation human-in-the-loop. Also contributed to an education-focused AI product for teachers and helped expand it with quiz generation and document editing features.”

“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.”

“Backend-focused engineer with experience owning a production e-commerce platform end-to-end (TypeScript/Node/Express, React, MongoDB, Redis) including RBAC and contract-based API development. Also worked at Infosys on a large healthcare management system built with Spring Boot microservices, using Kafka for messaging/retries, circuit breakers for resilience, and OpenTelemetry/Swagger for observability and API documentation.”

Yat Pan Fung

Screened

Mid-level Full-Stack Developer specializing in web, mobile, and crypto trading systems

New Westminster, BC5y exp

“Frontend engineer with experience building an e-commerce marketplace platform (Japan-to–Hong Kong) and designing a modular, message-queue-driven architecture for scalability and reliability. Built a high-frequency, massive-state React+TypeScript interface using Redis event streaming and JSON Patch, reporting ~10x–20x performance gains over polling/immutable approaches.”

prashansa chaudhary

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms and AI apps

Redwood City, CA4y exp

“Software engineer who has owned customer-facing/internal platforms end-to-end, emphasizing fast iteration through small releases backed by monitoring and rollback safety. Built SurveyAI with reusable React/TypeScript components and a stateless Node.js REST backend with clear API contracts/validation, and created an internal Airflow + AWS Lambda automation tool integrated with Slack alerts to reduce manual work and improve response time.”

Manvi Panjwani

Screened

Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems

San Francisco, CA4y exp

“Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.”

Ranxin Li

Screened

Mid-Level AI/Full-Stack Engineer specializing in agentic LLM systems and RAG

San Jose, USA2y exp

“Built and deployed Clyra.AI, an AI-driven daily scheduling product that uses a LangGraph-based multi-agent LLM pipeline (task extraction, verification, reflection) grounded with strict RAG over emails/documents/calendars and real-world signals like health metrics. Designed a custom agent orchestrator with bounded loops/termination conditions and a self-auditing verification/reflection layer to reduce hallucinations while controlling latency and cost via caching and model distillation.”

Uday Dorawala

Screened

Director-level Engineering Leader specializing in SaaS platforms, data, and cloud modernization

Raleigh, NC25y exp

“Former founder with an acquired venture who later led R&D at McClatchy and joined multiple startups. Identified a major client need and built a mobile app platform using ML and AR for home builders, driving adoption by dozens of customers and $1M+ ARR. Strong hands-on builder who can architect MVPs, iterate quickly with A/B testing and user feedback, and scale early engineering teams and culture.”

“Product designer at early-stage startup Pomu who combines user research, systems thinking, and hands-on implementation to shape product direction—not just screens. She helped redirect the core search experience from keyword-only to image-plus-keyword based on founder interviews, collaborated directly with ML engineering, and also codes polished front-end interactions on her own portfolio site.”

Ankur k

Screened

Entry-level Smart Contract Engineer specializing in DeFi and blockchain systems

Remote, India1y exp

“Full-stack product builder with experience owning a B2B bulk-purchase negotiation feature end to end and layering AI into real workflows like invoice generation. Also built an agentic deployment tool using LangGraph, MCP, OCR, and Playwright to automate app deployment to platforms like Vercel and Render.”

“Built and evolved the backend-adjacent platform for a self-custody Bitcoin wallet used by 2000+ users, emphasizing security-first architecture that avoids custodial risk by keeping private key operations client-side. Demonstrates strong API reliability and security depth (FastAPI contract-first design, idempotency, state-machine modeling, JWT/device-aware auth) and has reduced production failures by hardening signing flows against poor connectivity.”

“Backend/data engineer who built a production booking platform on FastAPI microservices (Postgres/Redis/gRPC) and delivered AWS infrastructure spanning Lambda, ECS, SQS, and Glue-to-Redshift analytics. Demonstrated measurable SQL optimization (10 minutes to <40 seconds) and strong operational ownership through monitoring, incident response, and schema-evolution hardening.”

“LLM-focused engineer with end-to-end experience shipping an OpenAI-powered edtech teacher assistant into production, using Humanloop-driven prompt iteration, rigorous observability (Datadog), and A/B testing tied to real learning metrics (25% comprehension lift). Also led adoption-driving technical demos at SiriusXM (event-driven AWS Lambda/Kotlin/CDK pipeline cutting processing from 24 hours to seconds) and partnered with sales at Spresso.ai to close eCommerce SDK deals and boost activation from 40% to 85%.”

“Built and launched “Language AI,” a Next.js/TypeScript app that clones a user’s voice (via ElevenLabs) to deliver language lessons in their own voice, using Supabase for auth/Postgres/storage and hosting backend on Render. Post-launch, identified ElevenLabs voice-clone limits after initial users and reworked the pipeline to store audio assets and delete clones to support more concurrent users; also added Google auth to improve adoption. Previously worked in a high-growth startup environment (Study Park) taking concepts from ideation to production.”

Vidit Naik

Screened

Junior AI/ML & Full-Stack Engineer specializing in LLMs and RAG systems

San Francisco, CA2y exp

“Forward-deployed engineer who built a production AI drone-control chatbot that lets users fly a drone via natural language while viewing a real-time feed. Implemented RAG over drone SDK documentation (vector DB + top-k retrieval) and LoRA fine-tuning, with a focus on latency, token efficiency, and cost reduction, and regularly works with non-technical clients to integrate and explain AI system architecture.”

“Full-stack engineer with experience building customer-facing fintech mobile features end-to-end (loan estimate comparison) and scaling event-driven microservices in enterprise environments (Verizon). Has designed TypeScript/React/Node systems with queues/caching and built an internal rule-engine for bulk Excel ingestion that reduced data errors and manual rework through automated validation.”

“Full-stack developer with strong cloud/on-prem focus (AWS, VPC networking) who has improved production reliability by bringing manually created IAM/security group resources under Terraform and standardizing environments. Demonstrated end-to-end troubleshooting across app + infrastructure + networking (traffic capture revealed proxy response truncation) and delivered Python-based monitoring/reporting enhancements that improved ops visibility and turnaround.”

“Product-focused full-stack engineer (70% application-layer) who has shipped multi-tenant RBAC for a formerly single-tenant platform, cutting infrastructure costs by 50%. Built high-impact customer-facing features including analytics dashboards (40% retention lift) and a React/TypeScript scheduling grid that reduced navigation time by 60% and setup time by 80%, with solid AWS operations and Postgres performance tuning experience.”

“Full-stack engineer with strong ownership in fast-moving environments: designed and shipped a pre-order/campaign inventory system (NestJS + Strapi + Datadog) that freed 34% warehouse space and reduced stock risk to ~5.7%. Also built rapid, high-impact logistics features (Spot Sales) that drove last-mile cost to ~0 in ~40 days, and has hands-on AWS/Terraform/CI-CD experience including deploying a global RAG system with Pinecone, Datadog, and PagerDuty.”