Feb 2024 – Sep 2025 · 1 yr 7 mos · Bangalore Urban · On-site

• ‣ Owned end-to-end fraud prevention strategy and AI roadmap for the organization. Partnered with product, engineering, and business leadership to align fraud strategy with growth objectives.
• ‣ Established a 16-member cross-functional T&S team (Data Science, Data Engineering, Fraud Monitoring).
• ‣ Reduced fraud losses by ~90% (~2 Lakhs weekly loss to < 20K loss) by implementing real-time monitoring, detection systems, and risk frameworks.
• ‣ Defined and deployed risk policies balancing user experience and security, reducing false positives by 60%.
• ‣ Architected and scaled an agentic RAG-based investigation platform (LangGraph + GPT-4), leveraging tool-augmented LLM workflows to orchestrate multi-hop reasoning across APIs, network graph databases, policy knowledge bases, and customer support systems; automated fraud investigation and account actioning at scale (~500 cases/day), reducing review time by 30%.
• ‣ Built predictive models (LSTM-based) for delinquency risk, improving recovery efficiency.
• ‣ Proactively identified and mitigated emerging fraud risks for new product launches (e.g., Simpl Select, Pay-in-3), defining early-stage risk frameworks and controls to ensure secure and scalable rollout; collaborated with product to lead pricing experimentation for Simpl Select using A/B testing, optimizing adoption while managing risk exposure.
• ‣ Established monitoring, alerting, and governance systems for production ML pipelines.

Aug 2022 – Sep 2023 · 1 yr 1 mo

• ‣ Led development of large-scale ML/Computer Vision systems leveraging name matching, photo similarity, behavioural, and network signals to detect 1M+ impersonator accounts per month out of ~3B user base. Supported ~3M high profile users (like actors, politicians) on FB and IG
• ‣ Protected integrity of 30+ national elections through proactive abuse detection systems.
• ‣ Mentored 5 specialists and influenced cross-functional teams including Product Managers
• ‣ Improved identity verification systems (name/photo matching), earning recognition from Singapore PM’s office
• ‣ Partnered with cross-functional leadership to drive platform integrity strategy across products like Metaverse, NFTs, and supported global launch of Meta verified with experimentation

Feb 2019 – Jul 2022 · 3 yrs 5 mos

Dec 2015 – Feb 2019 · 3 yrs 2 mos · Hyderabad

• ‣ Developed ML-driven fraud detection systems for Google Pay
• ‣ Delivered ~$0.1M/month savings through chargeback reduction and fraud analytics
• ‣ Built risk dashboards improving visibility into operational and fraud metrics
• ‣ Designed risk strategies for promotional campaigns balancing growth and fraud exposure

Sep 2015 – Nov 2015 · 2 mos · Bangalore

• Generating market performance report of GE Healthcare for different modalities across different
• geographical regions (Sept’ 15 – Present )
• Verbatim analysis for feedbacks given by different hospitals for GE Healthcare and Competitor
• products in KH Coder and R (Sept’15 – Present)

Jun 2013 – Sep 2015 · 2 yrs 3 mos · Bengaluru

• ‣ Created ETL pipelines using Informatica + Python + SQL, automating reporting workflows
• ‣ Supported pharmaceutical and healthcare clients in marketing mix optimisation and revenue variance analysis