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Abhinav Bandaru
Junior Data Scientist specializing in Generative AI and agentic LLM systems
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About
LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).
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Key Strengths
- Built and deployed an LLM-powered investment target research/screening tool for thousands of companies
- Scaled multi-step LLM/data-collection pipelines with async parallelization and batching (end-to-end <30s at scale)
- Production reliability engineering for LLM workflows (rate limits, API failures, retries, fallbacks)
- Designed multi-agent LangGraph systems with clear state transitions, traceability, and structured parsing to reduce hallucinations
- Strong evaluation discipline for agents (representative test suites, unit/integration tests, quality + latency metrics, A/B testing)
- Effective collaboration with non-technical/executive stakeholders via transparent UI controls, cost visibility, and documentation
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