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Rohan Gore
Intern AI/ML Engineer specializing in agentic systems and full-stack development
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About
Built and scaled a multi-agent LLM automation pipeline during a fintech internship, growing from a rapid 1-week proof-of-concept to a 15+ agent hierarchical system that cut market brief report generation time from ~5 hours to under 30 minutes. Hands-on with agent frameworks (Haystack, CrewAI, LangChain) and experienced in debugging agent communication issues via sandboxed modular testing and context/token management; also regularly gives architecture-first technical demos at multiple hackathons and university events.
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Key Strengths
- Took an LLM multi-agent prototype to production in a fintech internship (3–5 agents to 15+ agents)
- Delivered major efficiency gains: market brief report generation reduced from ~5 hours to <30 minutes
- Strong tool evaluation and adaptability (switched from Haystack/CrewAI to LangChain after testing limitations)
- Debugs agentic systems via modular architecture and sandbox testing
- Resolved multi-agent negotiation failures by identifying context overflow and tuning token/buffer settings
- Experienced presenting system architecture-focused technical demos and workshops with live application/code walkthroughs
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