Vetted Front-End Development Professionals

“Marketing-focused designer with 17 years of experience spanning enterprise and retail web projects, emphasizing simplified UX, responsive execution, and scalable Figma design systems for high-volume output. Also produces lightweight social marketing videos in CapCut with platform-specific exports and uses modular templates plus async Slack/Figma collaboration to ship campaigns quickly while staying on-brand.”

“UX/UI designer with immersive tech focus: built a senior thesis VR beach stone-skipping experience where successful throws triggered real-world receipt-printer outputs, with hand-textured assets and extensive usability iteration for novice VR users. Also designed UI for architectural visualization software during an internship and ran stakeholder-driven research for an AR glasses speech-therapy concept, pivoting the design language to address skepticism around AI framing.”

“Frontend-focused engineer with startup experience (SmartPath, OPC AI) who owned and evolved an internal React/TypeScript component library treated like OSS—refactoring core form and API wrapper modules for stability, type safety, and smaller bundles. Comfortable diagnosing production issues via logs/API traces and shipping end-to-end fixes with tests and documentation, including internal workshops to drive adoption.”

“Software engineer (internship experience) who built and owned an AWS serverless multi-user “challenge” feature end-to-end (UI + REST APIs + DynamoDB + deployment), delivering measurable gains in latency (-30%), debugging time (-50%), and join drop-offs (~-30%). Also productionized a multilingual RAG-based QA system with vector retrieval and guardrails, improving accuracy to ~85% and driving ~20% DAU growth.”

“Unity/C# developer (7+ years) who has shipped VR apps targeting Meta Quest (Quest/2/Pro) using OpenXR/Meta XR SDK, with deep standalone performance optimization and comfort-focused UX. Owns the full delivery pipeline from Android build/signing and Gradle config to Windows installers and auto-patching via Azure, and builds robust Unity UI design systems plus core tech like humanoid bone mapping and VHACD collider generation. Also cross-functional across ReactJS dashboards and Python tooling to port VR workflows into Maya/iClone/Blender.”

“AI/software engineer with hands-on experience deploying an LLM-powered quiz generation platform for students, integrating Python services with Gemini APIs plus frontend and database components. Emphasizes production-grade reliability through observability, schema validation, async processing, and performance tuning under high concurrency, and has collaborated with product/operators (e.g., at Colombo AI) to translate real-world constraints into scalable technical solutions.”

“Frontend developer who led the COC.ca (Canadian Opera Company) site end-to-end as the sole FE engineer on an AgilityCMS/.NET stack, owning master/page templates, modules, and quality. Emphasizes accessibility and responsive design, performing cross-browser/device testing with tools like JAWS, NVDA, Axe, Lighthouse, and Siteimprove; more recently built a Next.js/React/TypeScript video viewer with modal/video state management.”

“Frontend engineer in fintech who led a client onboarding platform end-to-end, building a scalable React/TypeScript architecture with Redux-driven multi-step verification workflows. Strong focus on quality at scale through UI automation/E2E testing and CI/CD (GitHub Actions + Docker), enabling faster releases (bi-weekly to daily) while staying stable despite evolving backend APIs.”

“Frontend engineer/lead who has shipped multiple production applications including VentureRamp (multi-platform crowdfunding app, deployed early 2024), DataPotter (large-scale stakeholder tracking dashboard), and Nasdmobile (OTC stock trading app). Emphasizes scalable microfrontend/modular architecture, strong state management (React + TypeScript + Redux Toolkit), and disciplined release practices (feature flags, phased rollouts, monitoring) while leading teams through sprints and knowledge-sharing.”

“Built and owned Python backend APIs for real-time educational dashboards at ASU’s Machine Learning lab, improving responsiveness by cutting latency ~35% through caching, batching, and profiling-driven optimizations. Has hands-on experience containerizing Node.js/Python services and running GitOps-style CI/CD with GitHub Actions, plus supporting smaller infrastructure transitions with reproducible, portable configs.”