Vetted Git 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.”

“Senior frontend developer with end-to-end ownership of modernizing a legacy Laravel/PHP product into a Next.js 14 + React + TypeScript stack, using TurboRepo for incremental integration. Emphasizes quality and scale through unit testing, Datadog monitoring, and performance-focused UI work (dashboards with charts/usage analytics, minimizing re-renders).”

“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.”

“Unity/VR developer who has shipped games for Meta Quest and built a game (Remix Heroes) largely solo, handling everything from game design and UX/UI to level backgrounds, gameplay, and backend networking features like social events and leaderboards. Experienced with Quest 2/Quest 3 testing and uses AI tools to review system designs and evaluate solution options.”

“Unity game developer who has built a distinctive combat/aiming system for a golf-like game with zombie battles, plus a structured tutorial experience with rich visuals. Has multiplayer experience using Mirror and Unity Netcode for GameObjects, focusing on efficient client-server synchronization, and uses GitHub Copilot to speed up tasks like HLSL shader creation.”

“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.”

“Unity/VR gameplay programmer who built a gesture-driven stationary locomotion/teleport feature for a VR tennis eSports title at VRML, enabling players to reposition to predicted ball impact without using controller buttons. Has multiplayer/networking exposure via Photon Quantum and Photon Fusion (BadFly) and works as a generalist solo developer leveraging AI tools for rapid asset creation and code cleanup.”

“Unity gameplay programmer with experience on TT Games' LEGO Star Wars Battles, including adding full controller support to a touch-first unit deployment system and implementing new networked unit mechanics in a Photon-based multiplayer layer. Has worked in client-server architectures (including Metaplay-backed servers), with a focus on refactoring for reusable combat/damage code and scalable analytics instrumentation.”

“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.”

“Unity developer who implemented a cross-console (Nintendo/Xbox/PlayStation) UI navigation system that avoided interfering with mobile controls and became the project-wide standard after adoption. Also built Photon Fusion multiplayer test projects during COVID, handling core networking concerns like spawning, synchronization, projectiles, and damage.”

“Unity game developer who architected a flexible Match-3 core system that scaled to many object types and added merge mechanics without major rework. Has shipped/implemented real-time multiplayer features in a Photon-based space racing game using server-authoritative validation with prediction/interpolation, and focuses heavily on mobile optimization (AssetBundles, pooling, prewarming).”

“Unity/VR developer who previously built games largely from the ground up and delivered a standout immersive VR experience by synchronizing a real CNC-cut Browning M2 physical prop with an in-game mounted weapon. Has multiplayer/networking experience with UNet, FishNet, and a more advanced custom MST framework implemented for a startup, and uses AI tools to speed up debugging and complex feature work like root-motion locomotion.”

“Game developer with Unity and Unreal multiplayer experience who scaled a simple player profile into a major personalization feature using PlayFab, including a JSON-based workaround to overcome free-tier storage limits. Strong hands-on performance optimization background on mobile and Nintendo Switch, and collaborates closely with designers by building highly parameterized, iteration-friendly gameplay systems (character switching/special attacks, emotes).”

“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.”

“LLM engineer/data analyst who built a production RAG QA assistant over the Jurafsky & Martin NLP textbook to reduce hallucinations and provide explainable, source-grounded answers. Experienced with LangChain/LangGraph orchestration, retrieval optimization (embeddings, vector DBs, caching), and rigorous evaluation/monitoring (Retrieval@K, A/B tests, telemetry/drift). Previously communicated analytics insights to non-technical stakeholders at GS Analytics using Power BI and simplified reporting.”

“Built and shipped a real-time AI robotic inspection system, using a synthetic data generation pipeline to address rare edge cases—cutting data collection costs ~60% and boosting hard-scenario accuracy ~20%. Experienced in productionizing ML on constrained Jetson hardware and orchestrating end-to-end ML workflows with Airflow/Docker/Kubernetes, with a metrics-driven approach to reliability, evaluation, and stakeholder communication.”

“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 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 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.”

“Internship at Discovery Education building a production LLM/RAG chatbot that let marketing and sales teams query and interpret Looker/BI dashboards in natural language, with responses grounded in compliance and state education standards. Emphasizes rigorous evaluation (faithfulness/precision/recall/latency) plus user-feedback analytics, and used LangChain for orchestration, chunking/context-window control, and integration with enterprise sources like SharePoint.”

“Recent research master’s graduate who built a Python backend for an interconnected RabbitMQ/MQTT system, including automation, benchmarking, and network-link optimization between brokers. Has hands-on edge computing experience (lightweight Kubernetes on a ~40 Raspberry Pi IoT cluster) and made architecture decisions for real-time streaming by evaluating Kafka and ultimately choosing Apache Storm.”