Vetted Redis Professionals

“Frontend/full-stack engineer (~5 years) who led large-scale React + TypeScript products including a Shutterstock-like media platform with private, invite-based content and SSO-style auth redirection. Strong in performance for media-heavy experiences (thumbnails, CDN, caching, chunking) and in quality systems (Vitest, E2E, CI gates, QA/staging). Also built a complex Figma/PowerPoint-like editor with custom state management and undo/redo history tracking.”

“Builder of an early-stage community marketplace, Cirkle, where they combined product and engineering ownership to ship core marketplace, membership, chat, and AI-assisted listing features. Particularly strong in pragmatic AI product development, using multiple LLMs, structured outputs, validation, and analytics to create production-ready user experiences.”

“Built a solo full-stack equipment manager app for the game Dragon's Dogma, scraping a wiki with Beautiful Soup, transforming data to JSON, modeling armor/weapon schemas, and integrating everything into a PostgreSQL-backed API with caching. Dockerized and deployed the application to the web.”

Anel Kujovic

Screened

Mid-level Full-Stack Developer specializing in modern web apps and real-time dashboards

Tallinn, Estonia4y exp

“Full-stack developer who built and shipped Asrify.com (a combined Jira + Hubstaff-style app) end-to-end using PostgreSQL/Laravel/Vue/Docker with unit tests and Cypress. Also worked on an Australian school management platform (Qobox) with multiple portals (staff/students/guardians), focusing on scalability via query optimization, indexing, and Redis caching; strong in React but not in Java/SpringBoot.”

“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”

“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”

“Backend-focused developer who built LinguaTile (language learning app) on a FastAPI + MongoDB monolith deployed to Google Cloud Run, emphasizing async performance and security (RBAC/JWT, rate limiting, request tracing). Also created Mark-RS, a static HTML generator with a 100% CommonMark-compliant Markdown parser, demonstrating strong edge-case rigor and systems robustness.”

“Full-stack engineer with hands-on experience building both a TypeScript LMS and a production-ready real-time chat platform using Phoenix/Elixir, Supabase/PostgreSQL, and React Native. Stands out for owning systems end to end in production, including payments, WebSockets, clustering, migrations, caching, and media architecture across distributed deployments.”

Rutvi Rathod

Screened

Junior Full-Stack Software Engineer specializing in AI and web applications

San Jose, CA1y exp

“LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.”

Andrew Douangprachanh

Screened

Entry-level Full-Stack Software Engineer specializing in web and real-time applications

Colorado Springs, CO2y exp

“Frontend-focused developer who built Brick-Verse, a React/TypeScript CRUD app combining Spring Boot, Spring Security, JWT auth, PostgreSQL, and the Rebrickable API. Stands out for handling multi-source data flow, protected user features like favorites, and practical React performance and responsive CSS challenges in a production-style project.”

“Built multiple AI projects end-to-end as a solo developer, including a privacy-focused LLM app that redacts PII before sending prompts to an external model and a LangGraph-based multi-agent triage system for log analysis. Stands out for combining LLM/agent design, deployment troubleshooting, and practical workflow automation with a strong emphasis on privacy and explainability.”