Vetted Unity Professionals

“Software engineer with experience building a Vue.js/TypeScript internal component library (with Jest testing standards) and improving JS runtime performance via profiling, code splitting, and lazy loading. Also led documentation and community support for a Python ML utility library, diagnosing metric-calculation bugs for imbalanced datasets and driving large reductions in support inquiries through targeted docs, tests, and rapid hotfixes in a startup environment.”

“Robotics software engineer with hands-on medical robotics experience on an automated CT-guided lung biopsy robot, building a CT-voxel-to-mesh pipeline that generates and visualizes up to 1000 collision-safe needle insertion points and ports them into robot space for IK execution. Strong ROS2 background spanning AprilTag perception, Kalman-filter state estimation, visual SLAM, and Voronoi-based motion planning, plus deployment work containerizing ORB-SLAM on ROS2 Humble and CI/CD automation at Siemens EDA using Perforce.”

“AI engineer with robotics perception experience at Forterra, building and deploying moving-object/obstacle detection models into real-time robot pipelines. Addressed training crashes/latency via sub-batch training and optimizer tuning, and improved debugging using ROS/ROS2 tooling with 3D voxel visualization and color-coded validation.”

“Game economy/progression designer for PGA titles who owned equipment and attribute progression plus virtual currency sources/sinks end-to-end. Uses quantitative modeling and telemetry (wallet balances, spending ratios) to tune supply/pricing and hit segment-specific business targets (e.g., conversion and completion-rate goals), and aligns stakeholders via KPI-lift projections and tradeoff-driven presentations.”

“Unity/C# XR developer with hands-on experience building Meta Quest VR training modules and walkthroughs for non-technical users, emphasizing intuitive interaction design and performance on standalone hardware. Also built a room-scale treasure hunt game largely solo, owning the full lifecycle from design through optimization and polish, and uses AI assistants to accelerate debugging and refactoring while validating results via profiling and testing.”

“Unity gameplay/AI engineer with driving-simulator experience who re-architected state-based AI using multithreading (including a threaded 2D collision/location checker) to nearly double AI traffic while improving frame rate. Has shipped on a Photon-networked title (Frankie's Revenge / RoboRevengeSquad) and is comfortable debugging tricky multiplayer spawning/movement issues with practical client-server test setups.”

“Master’s-level candidate with an academic project portfolio, including ownership of a Python-based video game recommendation system using unsupervised clustering. Has hands-on experience designing the system approach and validating recommendation quality with test cases, plus teaching assistant experience instructing Git/GitHub workflows; limited exposure to Kubernetes, GitOps, and large-scale infrastructure.”

“Real-time 3D/C++ developer with hands-on engine-level systems work, including a 3D positional audio/Doppler pipeline stabilized against frame-rate jitter via fixed-timestep + interpolation architecture. Built a runnable 3D engine project featuring custom collision detection/response (AABB, SAT, sphere) with unit and edge-case testing, and has UE5 multiplayer movement experience implementing a custom sprint mode using Character Movement (SavedMove, intent prediction).”

“Head of Robotics at Orbital Composites who built the full ROS-based software stack ("OrbOS") for multi-robot KUKA-arm 3D printing of carbon-fiber composite geometries. Deep in motion planning and real-time control—created a pipeline to turn underconstrained toolpaths into optimal joint trajectories at massive command scale, plus redundant safety gatekeeping and a 250Hz synchronized robot+extruder controller. Has operated in a technical-founder capacity for ~6 years and values an engineering culture of openness, honesty, accountability, and high ownership.”

“Product/marketing designer with portfolio work spanning a nonprofit-focused mobile app concept (SecondLife) and a sustainability/human-connection rebrand of an e-commerce experience ("Amado" campaign). Experienced building scalable Figma design systems for high-volume output, producing modular templates for a local music venue’s concert graphics, and collaborating asynchronously with growth and creative leadership during an internship at The Bakery Atlanta (e.g., Atlanta Streets Alive).”

“Level designer/gameplay systems designer who shipped on Squid Game Unleashed, taking ownership of bot navigation and a dynamic bot-profile system to keep matches flowing and bots feeling human via telemetry-driven tuning (Tableau/heatmaps). Also built a lightweight minigame variant/rules framework to rapidly ship fresh live-service content with minimal engineering/art overhead, and has live-ops economy/event design experience from MyVegas Bingo.”

“Game QA professional with live production experience owning QA strategy for a cross-platform seasonal loadout system in a live server shooter. Works in Agile/Scrum with CI/CD, using Jira + TestRail (including two-way sync) to drive traceable test coverage and fast triage via evidence-rich bug reports. Emphasizes risk-based coverage, regression discipline across builds, and converting gameplay feel into actionable design/engineering feedback.”

“MMORPG numerical/economy designer who built and tuned a dual-currency system (gold/agate), progression gates, and late-game sinks using quantitative models (including exponential curves) and telemetry segmentation by player level/assets. Implemented engagement drivers like roguelike repeatable dungeons and weekly leaderboard rewards, and partnered cross-functionally to resolve economy risks such as item tradability to keep outputs stable and controllable.”

“Revamped a university academic calendar system into a Python-based calendar generation service, turning a weeks-long manual scheduling workflow into software that generates dozens of valid calendar combinations in under a minute. Also contributed to an Amazon search ML classifier by introducing precision/recall evaluation to better surface critical failure modes and improve prediction quality.”