Vetted UI/UX Design Professionals

“Software engineer who built and owned an internal workflow automation + analytics platform end-to-end (TypeScript/React/Node) with a microservices, RabbitMQ-based async architecture. Drove adoption by shipping iterative prototypes and prioritizing reliability/performance (Redis caching, query optimization), delivering ~30–35% latency improvements and ~30–40% reduction in manual operational work.”

“Unity XR developer who has shipped multiple Meta Quest apps, including an NHS medical training VR simulation where realistic, consultant-validated interaction mechanics and highly configurable systems were critical. Also built and shipped a solo indie AR product ("Eugene's AR Wiki") end-to-end, supporting a wide range of iOS/Android devices and incorporating analytics, interactive content, and engagement features like word games and face filters.”

“Built and owned end-to-end ordering and inventory/order management systems for a wholesale distributor, delivering an MVP quickly and iterating based on direct observation of daily users. Experienced with TypeScript/React + Node.js layered architectures and microservices using RabbitMQ, including real-world scaling issues (duplicates, backpressure) and observability practices (correlation IDs, structured logging).”

“Built and owned UPS tracking/reporting and operations workflow dashboards, delivering customer-facing APIs and real-time React/TypeScript UIs backed by .NET Core. Experienced in high-volume microservices using IBM MQ/Azure Service Bus with strong reliability patterns (idempotency, retries, DLQ) and Azure-based observability, plus performance tuning across frontend and SQL-backed services.”

“Software engineer with hands-on experience building and maintaining a React accessibility utility/component library (open-source-style) used across university portals, emphasizing WCAG 2.2 compliance, robust focus/keyboard behavior, and Jest/React Testing Library coverage. Also built and maintained .NET Core microservices at the Florida Department of Transportation, including integrating AI-driven features, with strong ownership around observability, incident response, and performance-focused refactoring.”

“XR/AR Unity developer who has overseen ~4 XR projects including shipping on Meta Quest, a HoloLens mixed-reality archaeology experience, and a collaborative 3D model exploration POC. Strong track record of aggressive performance optimization (custom shaders, profiling, draw-call reduction) and user-testing with domain experts; also experimented with ONNX-based procedural content generation and built a solo AR Tower of Hanoi game using AR Foundation (with a WebXR extension).”

“Frontend-focused engineer (also capable on backend) who led an end-to-end e-commerce project and has built 3–4 admin dashboards across e-commerce, real estate, and invoicing/branch-management contexts. Demonstrates practical decision-making around React/TypeScript state management (Redux/Zustand/Context) and performance optimization in React/Next.js (memoization, lazy loading, image optimization), with an emphasis on usable UX and rapid delivery via mock-data-driven parallel FE/BE development.”

“Unity game developer with eye-tracking SDK experience (Tobii) who shipped a gaze-driven Dynamic Light Adaptation feature by modifying Unity shaders and post-processing, demonstrated via an FPS demo scene. Currently building a multiplayer card game client using an in-house, event-driven networking architecture and actively improving resilience to reconnect/lag edge cases.”

“Software engineer with robotics and ML background (BS Software Engineering w/ Robotics minor; MS CS w/ ML minor) who built autonomy-focused student robotics projects combining RFID + camera sensing, path planning (Dijkstra), and fuzzy logic, and experimented with neural-network approaches. Also brings production-grade software practices from a Dell software analyst role, emphasizing maintainability, documentation, and testing for real-time systems.”

“Robotics engineer who built a smart campus tour robot on a Kobuki Turtlebot using ROS 1, implementing a full navigation stack (semantic world model, A* planner, tour executor, path follower) and integrating SLAM (gmapping) plus a hybrid reactive safety controller. Experienced taking systems from Gazebo simulation to real hardware, including extensive real-world debugging and Docker-based development to handle ROS/Ubuntu version constraints; planning a move to ROS 2 on Turtlebot 4.”

“Backend/data engineer with production experience building real-time sensor telemetry platforms: FastAPI + PostgreSQL services with strong observability, plus AWS serverless and Glue-based ETL into Redshift. Has modernized legacy SAS pipelines into Python microservices and delivered measurable performance wins (Postgres query latency cut to <1 minute and ~60% DB CPU reduction) while owning incident response and reliability improvements.”

“Frontend engineer who co-built an AI-enabled marketing automation platform with multi-workspace tenancy, implementing database-scoped queries and RLS for isolation plus real-time UX (chat, voice transcription via Deepgram, autosave, Supabase Realtime). Emphasizes quality and speed through CI practices (linting/unit tests, planned Playwright) and has shipped fast iterations like Stripe prepaid card detection from overnight build through staged QA to production.”

“Backend-focused Python engineer who builds modular Flask services on AWS and specializes in performance/scalability work across data-heavy APIs. Has concrete wins in query optimization (1.5s to <200ms) and high-throughput async processing (Celery+Redis, ~40% throughput gain), plus experience serving scikit-learn text classification models via containerized REST services and designing multi-tenant data isolation strategies.”

“Product-focused candidate with live B2C/product-led growth experience who translates free-to-play game mechanics (onboarding as a core loop, progressive unlocking, nudges, variable rewards) into real-world web/mobile products. Strong in live experimentation, KPI-driven iteration, and monetization/retention measurement (DAU/MAU, funnels, LTV-focused A/B testing).”