Vetted Sass Professionals

“Frontend engineer focused on scalable architecture and long-term maintainability, emphasizing modular component design in React + TypeScript. Has experience building reusable component libraries (including Storybook and shared repos) and collaborating with design/product to refine UX workflows, reducing development time over successive iterations.”

“Frontend-leaning engineer at Exchange Lodge who recently took over an entire system end-to-end after team attrition, expanding into backend and platform ownership. They modernized a JSON-driven UI platform into a TypeScript/Angular microfrontend architecture, reporting an ~85% productivity gain, and also rebuilt documentation and developer workflows into a monorepo with AI-friendly Markdown and Mermaid diagrams.”

Mark Wlodawski

Screened

Senior Unity Developer specializing in AI/LLM systems and multiplayer VR

Orlando, FL11y exp

“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”

“Frontend engineer who led a React/TypeScript real-time live-streaming web platform end-to-end, including interactive chat, live polling, and monetization (subscriptions/tipping via Authorize.Net). Built a scalable component system (Tailwind + Storybook) and handled complex real-time state with optimistic UI patterns across WebSocket and server-validated events, collaborating closely with product/design (Figma) and QA in an agile release cadence.”

Shrutika Chawla

Screened

Senior Full-Stack Developer specializing in React/React Native and SaaS platforms

Edmonton, AB7y exp

“Frontend engineer who has led end-to-end delivery of a climate-risk visualization/financial impact web platform using micro-frontends (Webpack Module Federation), a shared MUI design system, and React Query server-state to keep independent modules consistent and performant. Also improved a complex rules-heavy document editor (Crove.app) by eliminating input lag with memoization + Web Workers and introducing a headless rendering engine reused across products, with disciplined rollout via feature flags and Sentry monitoring.”

“Frontend-leaning full-stack engineer who modernized a legacy jQuery-based product information management platform into a more modular React application and owned analytics dashboard integration across UI, APIs, and data flows. Brings strong experience with enterprise releases, TypeScript modeling for complex API data, and performance optimization for large, data-heavy product and analytics interfaces.”

“Frontend engineer who led an end-to-end responsive enterprise banking platform in a regulated environment, emphasizing domain-based architecture, strict TypeScript contracts, and explicit state-machine-like flow modeling. Implemented Redux + React Query state separation, claimed 100% Jest coverage, and improved Jenkins CI/CD to speed deployments ~30% while also resolving major re-render performance bottlenecks.”

Sai Kumar K

Screened

Mid-Level Frontend Engineer specializing in legal data platforms

5y exp

“Built and operated end-to-end legal-document data pipelines fed by hundreds of scraper sources, emphasizing data quality validation, reliability (CloudWatch monitoring/alerting, retries, backfills), and serving enriched legal data via serverless AWS APIs (Lambda/API Gateway). Experienced in keeping API contracts stable with additive versioning practices and shipping MVPs quickly with CI/CD and observability in place.”

“Candidate is actively exploring AI-driven development and modern coding assistants like Claude AI, Cursor, Gemini, and other LLM-based tools. While they have not yet led AI-agent projects or used multi-agent systems in production, they are proactively building knowledge through AI coursework and the Microsoft AI Engineering specialization.”