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Vetted Rate Limiting Professionals
Pre-screened and vetted.
Mid-level QA Engineer specializing in JavaScript test automation (Playwright, Jest, Supertest)
Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation
Junior Full-Stack Software Engineer specializing in web apps, cloud, and ML inference
Mid-level Full-Stack Software Engineer specializing in B2B web apps and frontend architecture
Mid-level Python Backend Engineer specializing in microservices and AWS
Senior Frontend Engineer specializing in FinTech and real-time React platforms
Galvin Mendonca
Entry-level Full-Stack Engineer specializing in AI, web, and mobile development
“Front-end/product engineer who fully owned and built the Rouge Dashboard, an internal enterprise SaaS platform consolidating 11 AI-powered tools for five business units at Rouge International. Particularly strong in browser-based UI architecture for AI and CRM-heavy workflows, with proven adoption from 25 of 27 non-technical stakeholders and zero role-based access breaches.”
Mid-level AI Software Engineer specializing in LLM agents and RAG systems
Mid-level Systems Architect specializing in institutional trading infrastructure
Maulik Maganbhai Ghatala
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“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.”
Richa Chanpuriya
Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems
“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“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.”
Mid-Level Full-Stack Software Engineer specializing in automation and self-hosted infrastructure
Rutvi Rathod
Junior Full-Stack Software Engineer specializing in AI and web applications
“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.”
Mohammad Rostom
Intern Full-Stack Software Engineer specializing in AI-powered RAG systems
“Built FlowPilot, an AI-powered product that generates complete importable n8n workflows from natural-language prompts using a RAG pipeline (Qdrant + LangChain) and a multi-stage agent with a scoring/repair 'Judge' loop for intent alignment. Experienced in backend architecture across Laravel/Node microservices and production AI/RAG systems, plus performance debugging from async job offloading to database index tuning after ORM migrations.”