Deep expertise in financial systems and applied machine learning — committed to shipping models that are accurate, explainable and aligned to real business outcomes.
FOUNDER · CHIEF EXECUTIVE
Shankar leads Finkaizen's product and engineering direction. He sets the bar for model quality, explainability and the way analytics translate into measurable outcomes for lenders. He champions the conviction that production AI is judged by business impact — not benchmark scores.
CO-FOUNDER · DIRECTOR
Sanghmitra directs organisational scale, delivery operations and the compliance posture that institutional clients require. She ensures every engagement runs with the documentation, reproducibility and governance that regulated environments demand.
Engineers and analysts own outcomes end-to-end. Titles describe scope, not gatekeeping.
Every model choice has a written rationale. Reproducibility is a delivery requirement.
Validation, monitoring and rollback paths ship with every model, not after.
Senior engineers commit hours per week to mentoring associates and interns.