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About
/ Summary & Highlights
Technical Product Leader with 7+ years building and scaling B2B enterprise SaaS. Leads agentic AI products serving 500K+ weekly users.
Combines hands-on Data Science and engineering with Design Thinking to build AI-native platforms featuring autonomous GenAI agents.
Experience
/ Career Journey
Oracle
Senior Product Manager, Fusion ERP Financials
Mar 2021 – Present
USA
- →Spearheaded an Enterprise multi-agent platform to automate Invoice Exception resolution for 500K+ weekly transactions; projected to resolve $1M+/month in manual overhead.
- →Led standardized agentic UX patterns for generative interfaces; reduced time-to-market by 6 months for 15+ internal product teams.
- →Pioneered GenAI and RAG prototypes using LLM-as-a-judge for automated benchmarking; boosted goal completion by 20%.
IBM
Senior Data Scientist Intern, Global Business Services
June 2020 – Aug 2020
USA
- →Developed an IBM Watson-powered conversational agent with NLU and custom ML model; projected to recover $500K+ in receivables.
- →Designed an autonomous search engine with Puppeteer-based web crawlers; scaled to 100K+ monthly searches.
Larsen & Toubro Infotech
Software Engineer Full Stack, Fosfor
July 2017 – June 2019
India
- →Architected a cloud-native SaaS data analytics platform processing 5TB+ of enterprise data; 40% faster insight generation.
- →Led a 5-member engineering team to deliver a no-code BI module; reduced data analyst dependency by 25%.
Education
MBA · Santa Clara University
2019 – 2021 · Silicon Valley, USA
B.E. Computer Science · Manipal University
2013 – 2017 · India
Labs
/ Selected projects & explorations
Multi-Agent Invoice Orchestration
Autonomous multi-agent platform resolving Invoice Exceptions across 500K+ weekly transactions via orchestration logic and dynamic tool-calling.
LLM Ingestion Engine
High-scale multi-modal ingestion layer processing millions of unstructured files. 40% OCR improvement to provide high-fidelity context for downstream AI agents.
RAG + LLM-as-a-Judge
GenAI and RAG prototype with automated LLM benchmarking optimizing for faithfulness and reasoning accuracy. Boosted goal completion by 20%.
Agentic UX Pattern Library
Standardized reusable AI component library for generative interfaces. Reduced time-to-market by 6 months across 15+ internal Oracle product teams.
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/ Get in touch