Fintech Engineering Leader
Vivekanandan
Manokaran
Financial data engineering, payment processing, accounting reconciliation, treasury, regulatory reporting — powered by AI/ML, time-series forecasting, and the lens of financial engineering.
About
Engineering at the intersection of
finance and technology.
Senior Engineering Leader specializing in building financial technology platforms — from distributed data systems and cloud-native architectures to AI/ML pipelines spanning time-series forecasting, machine learning algorithms, and LLM-enabled automation.
Deep domain expertise across the financial value chain — payment processing, transaction postings, accounting reconciliation, financial planning & reporting, treasury operations, regulatory compliance, and the interplay of the three financial statements that underpin enterprise financial integrity.
At PayPal, I lead an engineering teams geographically located operating mission-critical payment and financial data platforms at global scale. Earlier at Bank of New York Mellon, I engineered data pipelines for the NetX360 wealth management and stock trading platform at the world's largest asset management company.
Currently pursuing a Doctorate in Financial Engineering at Penn State, researching AI-driven cash-flow forecasting for large-scale payment networks. Architect and named inventor on a USPTO patent (pending) for a Treasury Cash Positioning system.
Expertise
What I do best
Fintech Data Engineering
Architecting petabyte-scale financial data ecosystems with real-time and batch pipelines that serve accounting, treasury, and regulatory stakeholders with six-nines reliability.
Payment Processing
Leading global payment operations and checkout-to-settlement workflows processing billions in daily transaction volume with straight-through processing precision.
Platform Reliability
Engineering mission-critical financial systems with 99.9999% reliability, embedding observability, resilience patterns, and automated financial controls at scale.
AI/ML Financial Research
Applying machine learning and LLM-enabled automation to cash-flow forecasting, liquidity optimization, and intelligent treasury decision-making across payment networks.
Journey
Career path
PayPal Inc.
2014 — PresentSenior Manager, Software Engineering
San Jose, CA & Chennai, India
Leading globally distributed engineering teams across global payments, treasury monetization, and reconciliation modernization. Earlier served as technical lead for financial systems during the eBay–PayPal corporate separation.
Bank of New York Mellon
2012 — 2014Application Developer
Pune, India
Built enterprise financial data pipelines and reporting for global wealth management.
Education & Research
Academic foundation
Doctor of Engineering (D.Eng.)
Financial Engineering
Pennsylvania State University
Research focus: AI-driven cash-flow forecasting for large-scale payment networks
Master of Business Administration
Finance & Entrepreneurship
University of Illinois Urbana-Champaign
Bachelor of Engineering
Computer Science & Engineering
Bannari Amman Institute of Technology
Forthcoming Publication
A book-length technical manuscript rooted in a core philosophy: payments reconciliation is an engineering problem, not an accounting problem.
The work bridges technology, business, and finance — formalizing a distributed systems framework that reframes payment reconciliation as an alignment challenge across transaction truth, cash settlement truth, and ledger balance integrity within event-driven, SOX-regulated payment architectures.
Community
Conferences & events
TEDxTirupur
Organizer & Licensed TEDx Curator
Founded and organized TEDxTirupur, bringing thought-provoking ideas and speakers to the community through the globally recognized TED platform.
Bloggers Meet @ Coimbatore
Organizer
Organized a community gathering bringing together bloggers and digital creators for knowledge sharing and networking in the Coimbatore tech community.
© 2026 Vivekanandan Manokaran
San Jose, California