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Shashank Garg
Engineering leader specializing in FinTech ML/AI platforms
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About
Engineering Manager/player-coach leading Data Infrastructure, ML/DS, and AI Engineering pods who recently shipped multiple production agentic GenAI features. Built privacy-preserving LLM workflows (PII redaction via Microsoft Presidio) and drove an AI expense-approval agent from ambiguous ask to GA, cutting approval time from ~2.5 days to <4 hours with >85% accuracy. Also owned a major LLM cost overrun incident and implemented cost observability plus circuit breakers to prevent runaway agent loops.
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Key Strengths
- Shipped 2 production GenAI agentic features (travel booking agent, approval agent) with architectural ownership
- Designed secure PII handling via redaction layer using Microsoft Presidio with synthesized outputs for LLM comprehension
- Turned ambiguous expense-approval problem into measurable outcome (2.5 days to <4 hours) and shipped GA solution
- Built approvability scoring agent achieving >85% prediction accuracy; piloted with customers and iterated via feedback
- Owned LLM cost incident end-to-end; identified verification-loop causing 2-turn to ~10-turn interactions and implemented per-episode cost logging, budgets, and circuit breakers
- Player-coach EM operating ~20–30% hands-on across Data Infrastructure, ML/DS, and AI Engineering pods
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