Vetted React Professionals

“Unity developer (3+ years) focused on mobile multiplayer/casual games, combining technical leadership with game design ownership. Has shipped modular gameplay systems, integrated monetization/analytics, and built a custom Unity Editor plugin for configurable combat/animation montage workflows (masking + blending). Not experienced with VR/Meta Quest yet.”

“Full-stack engineer who built a real-estate professional marketplace platform (Maison) end-to-end as the sole engineer, including a multi-portal Next.js/React architecture, real-time WebSocket collaboration, Prisma/Postgres data modeling, and Stripe subscription billing. Also modernized a government disability case-management system from legacy VB.NET to an Angular + Spring Boot web app, citing measurable performance and workflow improvements.”

“Junior Software Developer with a master’s in Interactive Media who studied XR and built a personal VR space. Already uses AI tooling (Windsurf Cascade) in day-to-day development for feature support and debugging, and is seeking a more structured, mentored environment while ramping into Unity/Meta Quest work.”

“Frontend engineer who led an end-to-end dashboard web app build, starting from UI sketches and user stories through design documentation and a proof-of-concept to align stakeholders. Uses a modern React/TypeScript stack (TanStack Query/Table/Form, shadcn/ui, Tailwind) with Zod validation, ESLint + CodeRabbit PR checks, and Vercel Analytics for performance monitoring.”

“Frontend engineer experienced leading enterprise-grade analytics dashboard and portal work by embedding and extending Apache Superset within a client-facing platform. Emphasizes scalable plugin-driven React/TypeScript architecture, quality-at-scale (TypeScript + Jest + reviews), and safe, fast-paced delivery using feature flags, staging validation with real datasets, and performance optimizations like code splitting and lazy loading.”

“Frontend engineer who has led customer-facing React + TypeScript products end-to-end, building complex dashboards with robust async state patterns (caching, deduping, cancellation, optimistic updates) and strong quality practices (TypeScript standards, layered testing, production monitoring). Experienced modernizing inherited codebases through modularization and performance work (code splitting/memoization) while aligning stakeholders and shipping safely via feature flags and staged rollouts.”

“Frontend engineer with ~6 years of experience delivering SEO- and performance-sensitive web apps (e.g., an automobile sales platform built with Next.js SSR) and complex React+TypeScript dashboards for energy management/heat pump scheduling. Has handled real-time data challenges by integrating MQTT, and combines hands-on frontend ownership with Agile team coordination (standups, task assignment, client demos, requirements).”

“Frontend engineer who has led end-to-end warehouse and support tooling products, including a Raspberry Pi/Arduino-driven sorting UI that guides staff via bin LEDs. Built a React+TypeScript internal support dashboard with real-time order/shipping updates and AI-assisted ticket response suggestions (integrating models like OpenAI, Grok, Veo, and Google Gemini for image understanding), plus a voice-command workflow to create/search tickets hands-free.”

“Frontend-focused builder who worked on the VITALES.LIFE healthcare app using Next.js/React Native alongside multiple backend technologies (NestJS, Go, Python/FastAPI) on Firebase/GCP. Has experience delivering client-driven MVPs (e.g., Omnicommander, Talentus) and uses Jest for test coverage while emphasizing code reuse and non-duplicative components.”

“Frontend engineer who led end-to-end delivery of a financial data grid and optimized it to handle millions of rows using batching and progressive rendering. Experienced modernizing legacy Razor UIs into maintainable React + TypeScript implementations, leveraging React Query and Jotai, and shipping via incremental builds and feature toggles with close QA/client collaboration.”

“Forward Deployed Engineer at EasyBee AI who productionized a self-storage customer’s multi-agent LLM system end-to-end—rebuilding it with LangGraph/CrewAI, integrating with real property management + CRM systems via an MCP server, and adding observability/guardrails for reliable daily use. Experienced in live troubleshooting of agentic workflows, developer demos/workshops (including an open-source project, MerryQuery), and partnering with sales to close deals through customer-specific technical demos and fast integration feedback loops.”

“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”

“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”

“Startup-focused builder who created and iterated an MVP for Enky, a two-sided marketplace connecting music artists and creators, informed by hundreds of customer interviews. Implemented CI/CD, monitoring (PostHog/Sentry), and a complex payout pipeline involving scraping social platforms and routing escrow payments via Stripe, and has a track record of quickly debugging production issues (e.g., iOS-specific OAuth cookie failures).”

“Software/automation QA professional with hands-on Oculus VR testing at Telkom, covering controller inputs, tracking reliability, performance/FPS stability, thermal behavior, crash reproduction, and system-level events (standby/resume, low battery, network interruptions, guardian changes). Familiar with the intent and coverage areas of console certification frameworks (Sony TRC/Microsoft XR/Nintendo LOTcheck) and uses AI to speed up log analysis and test case creation.”

“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”

“Full-stack engineer with fintech payments experience who shipped an end-to-end guest invoice payment flow emphasizing reliability under retries/failures (idempotency via DynamoDB, async processing with Lambda/EventBridge/SQS + DLQ). Also built a FastAPI backend with Cognito/JWT + scoped guest tokens and a polished React/TypeScript checkout UX, and has performance-focused Postgres/Redis design experience for flash-sale e-commerce workloads.”

“Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.”

“Backend/AI engineer who has built production LLM orchestration and agentic workflow systems in Python/FastAPI on Kubernetes across AWS/Azure. Demonstrated strong reliability engineering by debugging a real-world memory retention issue that caused latency spikes/timeouts, and strong data/performance chops with a PostgreSQL optimization that cut query latency from ~1.2s to ~15ms. Targets roles building scalable, guardrailed AI-driven workflow automation with robust observability and human-in-the-loop controls.”

“Backend/AI engineer in construction tech (HyperWater AI) who delivered major production performance wins (analytics API from ~1 hour to 0.5s) and shipped LLM features for parsing subcontractor manifests into CSI divisions with human-in-the-loop review. Also built a freelance agentic document-verification system using OCR + RAG over pgvector with robust retry/escalation logic and user feedback loops.”

“Full-stack engineer operating in early-stage, high-velocity environments (OpGov.AI/UST Calibrate) who ships production Next.js App Router features end-to-end (RSC, Server Actions, SEO, RBAC, caching) and owns performance post-launch. Demonstrates strong data/infra depth—designed Postgres JSONB-based event models for DevOps/DORA analytics and tuned queries from ~2s to <50ms, plus built durable ingestion workflows with retries and idempotency on Azure.”

“Built and shipped a production multi-agent LLM system at Solena that automated internal project intake, validation, reporting, and stakeholder communications using Python, SQL, and LangChain, with strong emphasis on reliability (structured validation, safe defaults, logging, and state tracking). Also used LangGraph to orchestrate a multi-step video summarization pipeline, and has experience partnering with non-technical stakeholders to define “completion” criteria and reporting needs.”

“Built and shipped production AI search and RAG features for a university portal, including an embeddings-based semantic search layer and a documentation-grounded assistant with citations and anti-hallucination prompting. Also developed scalable, reliable data pipelines integrating Google Ads/GA4/Meta APIs for automated reporting, with strong focus on evaluation loops and retrieval quality improvements (hybrid search, chunking, query-log driven iteration).”