Vetted Redis Professionals

Sarang Pratham

Screened

Junior Software Engineer specializing in data engineering and GenAI

Kundapur, India3y exp

“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”

Rasheed Samady

Screened

Entry-level AI Engineer specializing in automation and ML platforms

San Francisco, CA0y exp

“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”

“Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.”

Aldrin Azucena

Screened

Mid-level Full-Stack Software Developer specializing in web apps, CI/CD, and cloud infrastructure

Lethbridge, Alberta, Canada4y exp

“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”

“Full-stack engineer who was the sole cross-stack builder on a marketplace serving 400,000+ users, owning everything from React dashboards and core APIs to AWS infrastructure and scaling improvements. Stands out for combining strong technical depth with product instinct—shipping a payment-on-delivery feature in a week that increased sales 5x, and proactively building AI-powered internal tooling to eliminate manual recruiting workflows.”

“New-grad software engineer who built a real-world smart-city traffic camera/operations dashboard pitched to Peachtree Corners, GA, integrating Bosch cameras with an MQTT/Node-RED/InfluxDB pipeline and Grafana visualizations. Implemented rule-based alerts (including SMS dispatch for janitorial cleaning) and improved production reliability with queuing, redundancy, monitoring, and load testing, reaching ~99% message delivery. Actively seeking onsite, customer-facing roles with travel.”

“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”

“Early-career full-stack developer who has built a TypeScript/React-based media recommendation application with PostgreSQL persistence, JWT auth, and multiple third-party API integrations. They show thoughtful systems thinking through schema/type consistency refactoring and pragmatic architecture choices like combining Django authentication with a modern React frontend.”

MARCOS FILHO

Screened

Mid AI/Software Engineer specializing in LLMs, agents, and distributed systems

Recife, Brazil3y exp

“Solo builder focused on backend and AI-driven decision-support products, especially around real estate/tower investment use cases in Dubai and Brazil. Describes hands-on work with PostgreSQL, Redis, crawlers, caching, LLMs, embeddings, and agent-style systems, with an emphasis on shipping end-to-end under ambiguous requirements.”