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Ankit Jha
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Projects

Case studies

Systems I designed and built, written up with the architecture, the trade-offs, and what the results showed.

01MarketLane AIAI-native market intelligence for NSE equities: how the daily scan went from one cached LLM call to a verified multi-stage pipeline, and why the middle generation ships.Product2026PythonFastAPIPostgreSQL↗02MarketLane ResearchEvidence-grounded retrieval over SEC filings, and the measurement system that decided what shipped: 13 pre-registered experiments, two adopted changes, eleven rejected with mechanisms, about $40 of model spend.Infrastructure2026Python 3.12FastAPIPostgreSQL 18 + pgvector↗03AI Incident CommanderA pre-registered, equal-budget comparison of a multi-agent incident-diagnosis system against a single agent on 45 held-out microservice incidents, on two models, with four follow-up experiments.Research2026PythonLLM agentsRCAEval↗04Agent Context EngineA Python library that decides what a long-running AI agent puts in its model context on every call: three memory layers, hybrid retrieval, four compression methods and a rule-based adaptive planner, benchmarked against Claude on 2,204 graded answers.Infrastructure2026Python 3.11SQLiteNumPy↗

Ankit Jha

Staff AI Engineer · End-to-end AI systems: agents, retrieval, evaluation, inference and infrastructure

  • ankitjha.email@gmail.com
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© 2026 Ankit Jha