Apr 2023 – Present · 3 yrs 1 mo

• Spearheading PayPal’s global Feature Engineering and AI/ML modernization initiatives, driving innovation in data pipelines, cloud infrastructure, and Generative AI to power fraud detection, risk intelligence, and personalized customer experiences at scale.
• Leading cross-functional global teams across Chennai, San Jose, Tel Aviv, and Shanghai to deliver high-impact programs such as:
• 1. 1 PB's Teradata → GCP BigQuery migration, improving query performance by 40% and enabling enterprise-scale data analytics.
• 2. Vertex AI Feature Store integration and automation, reducing feature onboarding time-to-market by 80%.
• 3. Full modernization of Feature Platform, delivering $130M+ in business impact for AI Model and Feature teams.
• Championing Generative AI and Agentic AI adoption within PayPal’s engineering ecosystem:
• 1. Developed BigQuery Optimizer using LLMs, Explain Plans, and ML rules—cutting compute cost by $1M+.
• 2. Created NLP-to-SQL Generator, allowing natural language feature creation across 30,000+ datasets.
• 3. Built FEDS Bot and Auto-Resolution Framework, achieving a 90% reduction in manual operational tasks.
• 4. Designed AI-driven data products for fraud and credit risk management, cutting delivery cycle times by 50%.
• Certified as a Google Professional Machine Learning Engineer, currently pursuing CTAIO Certification program in IITM Parvatak, Completed Leadership in AI from Indian School of Business (ISB) Hyderabad and an MBA Graduate from University of Massachusetts Global.
• Combining technical excellence, business acumen, and global leadership, I focus on building scalable, intelligent systems that drive innovation, reliability, and measurable outcomes in the Fintech space.

Mar 2020 – Mar 2023 · 3 yrs

• Led strategic engineering initiatives within PayPal’s Feature Engineering and Data Platform organization, driving innovation in data pipelines, distributed systems, and private cloud infrastructure to power global-scale AI/ML use cases.
• Directed cross-functional teams across India, TLV, San Jose, and Shanghai to deliver highly available, low-latency data services supporting fraud detection, payments, and risk intelligence systems.
• Architected and deployed distributed data pipelines on PayPal’s internal private cloud, integrating Hadoop, Spark, and GCP for batch and near-real-time processing.
• Improved data pipeline reliability and scalability by implementing CI/CD automation, observability, and failover recovery mechanisms across critical production systems.
• Partnered with product, data science, and infrastructure teams to standardize feature creation workflows, ensuring consistency and speed across AI model deployments.
• Cultivated a collaborative engineering culture, emphasizing communication, design excellence, and continuous learning.
• Drove operational efficiency improvements of 30% by optimizing internal frameworks and simplifying data orchestration.

Apr 2019 – Feb 2020 · 10 mos

• Led analytics for PayPal’s global payments and product teams (Venmo, Braintree, Hyperwallet). Delivered $2M+ savings through decline-rate improvements. Built KPI dashboards, A/B testing models, and data insights driving product ramp-up and success metrics.

Sep 2017 – Mar 2019 · 1 yr 6 mos