Vetted Technical Documentation Professionals

“Game developer/designer building prototypes in Unreal Engine 5 (Blueprints/gameplay scripting), including a Viking vs. zombies project with multiple AI types and elemental magic effects. Has shipped/iterated on a sci-fi SCP-inspired shooter/melee concept, focusing on playtest-driven difficulty tuning, encounter design using environmental obstacles, and creating custom boss attack effects after tester/player feedback.”

“Frontend engineer focused on scalable React + TypeScript applications, with repeated examples of modular architecture, reusable component systems (forms/tables), and keeping business logic out of UI components. Has experience improving maintainability/performance in existing codebases through gradual refactoring, and shipping key features under tight deadlines using MVP scoping and post-launch iteration based on user feedback.”

“Marketing creative designer/art director focused on high-polish, system-driven social campaigns and scalable production. Builds robust Figma design systems (components, auto-layout, variables) and modular template kits to support high-volume output without quality drift, and edits lightweight short-form videos with platform-specific exports for Reels/TikTok/Shorts. Recent work includes campaigns for a boutique restaurant and a non-profit horse sanctuary donation drive, collaborating closely with UA/growth and product in fully remote async workflows.”

“Unity gameplay programmer focused on player movement and "game feel," implementing responsive controls (variable jump height, forgiveness mechanics) by combining Update-based input with FixedUpdate physics and velocity-driven movement. Brings client-server/REST fundamentals from outside games and is actively ramping into Unity multiplayer (Photon/Mirror-style) via small synchronization prototypes.”

“Built an automated ML/NLP document classification system for unstructured legal documents, combining classical models (TF-IDF + logistic regression/random forest) with entity resolution via fuzzy matching validated by precision/recall. Also implemented semantic similarity search using sentence embeddings stored in FAISS and improved matching by fine-tuning a transformer on domain-specific data and tuning similarity thresholds for fewer false positives.”