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Vetted Rate Limiting Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in full-stack development and applied machine learning
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and AI
Senior Backend Engineer specializing in Python microservices and cloud-native systems
Senior Software Engineer specializing in cloud microservices and real-time data platforms
Mid-level Software Engineer specializing in search systems and full-stack web development
Junior Full-Stack & Mobile Software Engineer specializing in AI-enabled products
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Junior Software Engineer specializing in backend, data engineering, and cloud systems
Mid-level Software Engineer specializing in distributed systems and cloud microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native healthcare and FinTech systems
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Mid-level Software Engineer specializing in cloud-native microservices and Healthcare IT
Senior Software Engineer specializing in distributed systems and agentic AI
Mid-level Full-Stack Engineer specializing in e-commerce platforms
Mid-level Full-Stack AI Engineer specializing in agentic SaaS and LLM systems
Mid-level Full-Stack Software Engineer specializing in cloud systems and real-time platforms
Rangel Koli
Entry-level Software Engineer specializing in backend and cloud systems
“Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.”
Adithya Gururaj
Junior AI Engineer specializing in agentic AI, RAG, and voice/telephony systems
“LLM/agent engineer who has built production multi-agent systems (LangChain/LangGraph) for enterprise workflows like email and calendar automation, with a strong focus on latency, tool-calling accuracy, and evaluation via LangSmith. Also worked on AI long-term memory using knowledge graphs at VEAI and communicated the approach and tradeoffs to CEO/CTO stakeholders.”
Xinyu Li
Junior Software Engineer specializing in backend systems and AI/LLM RAG platforms
“Full-stack engineer who built and operated a data-driven analytics platform using Next.js App Router/Server Components and TypeScript, owning post-launch monitoring and performance/stability work. Demonstrated measurable wins in analytics performance (e.g., cutting query latency from ~1s to ~200ms) through indexing, query-plan analysis, and precomputation/caching, and has experience designing durable multi-step backend workflows with retries, idempotency, DLQ, and time-correct ordering.”