---
title: "Kumarmanas Nethil - Head of Machine Learning in Bengaluru | Tal"
description: "Meet Kumarmanas Nethil, Building tech for justice systems | Conversational AI based in Bengaluru."
image: "https://tal.club/meet/kumarmanas-nethil/share-image"
---

# Kumarmanas Nethil on Tal

## Headline

Building tech for justice systems \| Conversational AI

## About

Currently, I am building the ML/Product stack to empower judiciaries in the Global South\. Before this, I led the Product\-ML team at Skit\.ai \- launching and scaling its first LLM\-voicebot for the US Debt\-Collections market\. On the technical side, I have worked on parts and the whole of Speech Dialog Systems\. Specifically, I am interested in the non\-lexical parts of human speech and techniques that model and interpret these turn\-taking dynamics\. In a previous role, I used ML algorithms to model extreme events in financial markets\. Natively, I am a pure mathematician with interests in Number Theory and Cryptography\. My training in mathematics has left me with a quick grasp of abstract concepts, and the ability to communicate them well\.

## Location

Bengaluru

## Work experience

Head of Machine Learning at Adalat AI, Aug 2025 \- Present · 1 yr 1 mo

Founding ML Engineer at Adalat AI, Oct 2024 \- Present · 1 yr 11 mos

Personal goal pursuit at Career Break, Jul 2024 \- Oct 2024 · 4 mos, Bengaluru, Karnataka, India, tending to life \- photosynthesis and backprop

ML Lead at Skit\.ai, Oct 2022 \- Jun 2024 · 1 yr 9 mos, Bengaluru, Karnataka, India

Lead ML Research Engineer at Skit\.ai, Aug 2021 \- Sep 2022 · 1 yr 2 mos, Bengaluru, Karnataka, India

Machine Learning Researcher at Skit\.ai, Dec 2019 \- Jul 2021 · 1 yr 8 mos, Greater Bengaluru Area

Gap year at Career Break, Jan 2019 \- Oct 2019 · 10 mos, Bengaluru, Karnataka, India, Travelled, met old friends and explored a new city

Data Scientist at LBBW Landesbank Baden\-Württemberg, Jul 2018 \- Oct 2018 · 4 mos, London Area, United Kingdom, My primary responsibility was to develop machine learning models to predict the effect of market crises on different classes of collateral\. Further, I used statistical methods in Python to build a distribution function\. This allowed the Risk Manager to value the credit risk of collateralised loan deals\. In my other projects, I implemented ML algorithms to predict client behaviour in the Credit Linked Note \(CLN\) market, and also designed a mutual fund investment strategy for European indices with Modern Portfolio Theory as the backbone\.

## Education

Master's degree, Mathematics, University of Cambridge

Bachelor of Science \(BS\), Mathematics and Statistics, Indian Institute of Technology, Kanpur

[View the original profile](https://tal.club/meet/kumarmanas-nethil)

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