.png){kind=logo}
Rahul Ganesan
Intern AI Engineer specializing in LLM systems, RAG, and cloud data pipelines
Connect with Rahul
Rahul already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Built and deployed a production Dockerized multimodal (voice+text) LLM agent for knowledge management that retrieves from Notion and documents and falls back to Tavily-powered web search with citations when internal notes are missing. Emphasizes production reliability via model-switching fallbacks, caching, strict structured outputs (Pydantic/JSON schema), and MCP-based orchestration with state-aware gating and monitoring to reduce redundant tool calls and improve success rates.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Shipped production multimodal LLM agent for knowledge retrieval across Notion, web, and documents
- Designed reliability features: identified failure modes, model fallback switching, caching to reduce LLM cost
- Strong agent orchestration/state management using MCP with recorded tool steps and execution status to prevent duplicate calls
- Implemented structured outputs with Pydantic + strict prompting and JSON-schema tool abstractions
- Built evaluation/monitoring loops using offline failure scenarios and online metrics (tool success rate, fallback frequency) with log-driven iteration
- Measured efficiency gains: reduced information lookup from ~50–60s to ≤20s (~40–60% time reduction)
Like what you see? We'll introduce you to Rahul directly.
Experience
Education
Skills
Languages
Interested in Rahul?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Rahul
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent