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Vetted Rate Limiting Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in event-driven systems and AWS
Senior Software Engineer specializing in Python microservices and cloud data platforms
Mid-level Full-Stack Developer specializing in Java/Spring and React
Mid-Level Software Engineer specializing in enterprise integrations and cloud automation
Mid-level AI & Backend Engineer specializing in LLM automation and distributed microservices
Intern Software Engineer specializing in authentication, distributed systems, and AI/ML
Mid-level Full-Stack Engineer specializing in AWS cloud-native microservices
Junior AI Engineer specializing in LLM systems, RAG pipelines, and ML microservices
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
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
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.”