Engineering trust into intelligent systems.
I work at the intersection of machine learning infrastructure and product strategy — building the evaluation layers, observability pipelines, and agentic architectures that let enterprise AI systems operate reliably in healthcare and finance, where failure has real consequences.
Over the past five years I've led cross-functional teams from 0-to-1 prototypes through production hardening — reducing hallucination risk, cutting inference latency, and shipping the safety rails that let organizations trust what their models say.
Roles, research & internships
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Insight Global
Program Manager
July 8, 2026 — Present
Lead program reporting, analytics, and process improvement initiatives — building Power BI dashboards, defining KPIs, automating recurring reports, and translating operational data into clear insights for leadership decision-making.
Power BI dashboards KPI definition Automated reportingJuly 8, 2026 — Present
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CVS Aetna — EXL
Assistant Engineering Manager & Agentic AI Lead
Feb 2026 — July 2026
Led a 12-person cross-functional team across UX, data engineering, and frontend to ship enterprise AI and source-traceability interfaces, directing BigQuery semantic search and automated contract validation at scale.
12-person team led BigQuery semantic searchFeb 2026 — July 2026
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SnapLogic
Software Engineer, System Health & Reliability
June 2025 — Oct 2025
Designed automated agentic test-case execution and deployed Prometheus/OpenTelemetry observability across the release pipeline, cutting QA effort and recurring production failures in the same quarter.
-60% QA effort -25% production failuresJune 2025 — Oct 2025
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Barclays Investment Bank
Data Analyst & ML Engineer
Feb 2021 — Aug 2022
Built anomaly detection pipelines watching 10M+ daily financial transactions — where I first learned that a model's confidence is only as good as its evaluation harness.
+26% detection precision 10M+ daily transactionsFeb 2021 — Aug 2022
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CSIR-NEERI
Research Scientist
June 2019 — Dec 2020 · Nagpur, India
Computed GLDAS data and carried out detailed calculation and analysis in ArcGIS using advanced Python programming.
GLDAS ArcGIS PythonJune 2019 — Dec 2020
Nagpur, India
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Indian Space Research Organisation (ISRO)
Intern
Oct 2019 — Feb 2020
Oct 2019 — Feb 2020
Where I studied
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Northeastern University
M.S. in Information Systems
Graduate
Dean's Graduate Research Assistant
Graduate
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Yeshwantrao Chavan College of Engineering
B.S. in Computer Science
Undergraduate
Published research with ISRO & NEERI — see Research
Undergraduate