Vetted Data Structures Professionals

“Senior frontend engineer who led the end-to-end build of ConvoCore’s AI agent stress-testing UI, handling non-deterministic AI outputs and high-frequency streaming logs. Emphasizes quality and scalability through schema-driven module contracts (Zod), shared hook/component libraries, and Playwright E2E tests, plus performance work like virtualization and code-splitting. Ships quickly with feature-flag rollouts, Sentry monitoring, and tight user-feedback loops (contextual bug reports with attached logs).”

“Frontend React developer who helped build a LinkedIn-like social platform (“Fusion Social”), emphasizing scalable project structure (pages/routes vs reusable components) and QA-driven delivery. Uses React Query + Redux Toolkit for API/state management and implements responsive UI based on Figma specs using media queries or MUI breakpoints.”

“Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.”

“Gameplay programmer with UE5 Blueprint-focused experience who independently shipped a multiplayer stealable XP/level progression system (including disconnect/anti-exploit handling and team-based data flow). Prototypes mechanics in Unity before recreating in Unreal, and has hands-on vehicle simulation work with a strong emphasis on modular architecture and performance-conscious UI update patterns.”

“Software engineer with hands-on hardware/software crossover work: led an EMG circuit project using PSpice simulation and MATLAB-based data processing. Also contributed to an agriculture research computer-vision effort (hens/eggs tracking), building a PyTorch inference program and boosting model accuracy by ~10–20%, plus limited ROS 2 Humble exposure on an autonomous EV model with LiDAR/camera detection.”

“Frontend engineer who led the Cariveco frontend end-to-end, establishing a scalable React/TypeScript architecture with a design system, CI-driven quality gates, and strong performance practices (Lighthouse, code-splitting, caching). Experienced building complex dashboards with role-based views and real-time data using Redux + RTK Query, and shipping major features quickly with automated testing, feature flags, and Sentry monitoring.”