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Pranav Marla
Mid-level AI/ML & Full-Stack Engineer specializing in LLM agents and generative AI
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LLM/agent builder who shipped a live consumer AI-agent app (kalpa.chat) that visualizes complex reasoning as interactive graphs and abstracts multi-provider model usage via a unified wallet. Professionally has applied LangChain/LangGraph to IVR parsing and to scaling a football video-generation pipeline at DAZN, including shipping a VAR-specific retrieval/order fix via SQL after iterating with a non-technical PM.
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Key Strengths
- Built and deployed a consumer AI-agent product to production (kalpa.chat) with graph-based reasoning visualization
- Strong agent orchestration experience across LangChain, LangGraph, and Amazon Agent Core
- Designs agent systems with iterative testing, observability, and human-verified evaluation datasets
- Pragmatic productization of LLM reasoning (added chat layer + user-controlled complexity scale)
- Cross-functional collaboration translating non-technical requirements into shipped features (VAR handling in DAZN video pipeline)
- Experience building viral LLM apps and research-style prototypes (Tree-of-Thought debating app; ARC AGI puzzle solver)
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