---
title: "Shashi Kant Gupta - Director of Machine Learning in Bengaluru | Tal"
description: "Meet Shashi Kant Gupta, Director of Machine Learning | Triomics based in Bengaluru."
image: "https://tal.club/meet/shashi-kant-1/share-image"
---

# Shashi Kant Gupta on Tal

## Headline

Director of Machine Learning \| Triomics

## About

I work on machine learning systems for healthcare, with a focus on generative AI for oncology research and care\. At Triomics, I head the Machine Learning function, working across ML infrastructure, ML engineering, and applied research for LLM\-powered systems, structured data extraction from medical records, clinical trial matching, model fine\-tuning, and agentic workflows\. Previously, I built speech and NLP systems at RingCentral and worked on deep neural nets, computer vision and computational neuroscience research at Harvard Medical School and on embedded systems and robotics at SUTD Singapore\. I studied Electrical Engineering at IIT Kanpur\.

## Location

Bengaluru

## Work experience

Director of Machine Learning at Triomics, Feb 2026 \- Present · 8 mos, Head the Machine Learning function at Triomics, building LLM\-powered systems for oncology research and care\. Own ML infrastructure, ML engineering, and applied research across structured data extraction from medical records, clinical trial matching, model fine\-tuning, and agentic workflows\.

Research Lead, Applied ML at Triomics, Mar 2024 \- Jan 2026 · 1 yr 11 mos, Led applied ML research for generative AI systems in oncology workflows\. Built systems for medical record ingestion, structured data extraction, model fine\-tuning, RAG, and clinical trial matching\.

ML Engineer 3, Conversational AI at RingCentral, Jul 2021 \- Feb 2024 · 2 yrs 8 mos, Bengaluru, Built speech and NLP systems for conversational AI, including ASR, spoken language identification, speaker identification, punctuation restoration, and call analytics\. Worked on model development, optimization, and real\-time production inference systems\.

Research Assistant at Harvard Medical School, May 2019 \- Apr 2021 · 2 yrs, Boston, USA, Developed biologically inspired deep learning models of the human visual system\. Used these models to study visual attention and replicate human visual search behavior\.

## Education

Dual Degree \(B\.Tech \+ M\.Tech\), Major Electrical Engineering, Minor in Machine Learning and Applications, Minor in Cognitive Science, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

[View the original profile](https://tal.club/meet/shashi-kant-1)

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