M

Mihir Kulkarni

AI Researcher

Mumbai, India7 yrs 6 mos experience
Highly Stable

Key Highlights

  • Led impactful ML projects in healthcare.
  • Published award-winning research on tuberculosis adherence.
  • Expert in responsible AI and capacity building.
Stackforce AI infers this person is a Healthcare AI Specialist with a focus on machine learning applications.

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Skills

Other Skills

ProgrammingMathematicsWritingResearch

About

ML team lead at Wadhwani AI, working on AI/data science for impactful problems in the social sector. We're hiring! https://www.wadhwaniai.org/careers/

Experience

7 yrs 6 mos
Total Experience
2 yrs 10 mos
Average Tenure
1 yr 2 mos
Current Experience

Ministry of electronics and information technology

Machine Learning Consultant

Apr 2025Present · 1 yr 2 mos · New Delhi, Delhi, India · On-site

  • Working as a Machine Learning Consultant with the IndiaAI mission [https://indiaai.gov.in/], primarily working on helping support India's sovereign foundation models.

Wadhwani ai

3 roles

ML scientist

Jul 2024Present · 1 yr 11 mos

  • ML team lead for projects in TB and maternal health.
  • Also involved in building internal cross-cutting software libraries, government and policy engagements, responsible AI, recruitment, capacity building and training.

Associate ML Scientist II, Team Lead

Promoted

May 2022Jul 2024 · 2 yrs 2 mos

  • ML team lead for multiple projects in healthcare. Setting the technical direction of the team and actively engaging with diverse stakeholders to understand and implement requirements.
  • Lead author on best paper at ML4Health for the TB adherence project: https://proceedings.mlr.press/v193/kulkarni22a/kulkarni22a.pdf
  • Other activities: hiring, internal trainings, responsible AI.

Associate ML Scientist I

Oct 2019Apr 2022 · 2 yrs 6 mos

  • Working on applying AI and data science solutions to problems in the healthcare space at a Gates Foundation, USAID and Google.org-funded AI for Social Good non-profit.
  • Main project: Models to predict proactively predict adverse outcomes tuberculosis, disease affecting 10 million individuals per year globally.
  • Achieve 1.7x lift above best baselines, 2.8x above random on the Recall@K=20% metric.
  • Designed and ran exhaustive evaluations on different cohorts and geographies
  • Use gradient boosted decision trees and neural networks, with multiple encodings
  • Actively contributed to aspects of calibration, interpretability, fairness and uncertainty
  • Project successfully evaluated by India's Central TB Division, pilot being planned.
  • Past: HIV adherence models, resource forecasting to assist the BMC in managing the COVID-19 pandemic.

Google

Software Engineer Intern

Jun 2018Sep 2018 · 3 mos · Mountain View, California, United States

  • Worked with the Juicer team within the Machine Intelligence organization to run experiments on terabytes of data, which involved modifying and improving a production machine learning and information extraction C++ pipeline on email data.

Adobe

Research Intern

May 2015Jul 2015 · 2 mos · Bengaluru Area, India

  • Developed a statistical model to predict customer response to email sequences, based on Rubin's causal model. Successfully filed a patent:
  • <https://www.google.com/patents/US20170213236>

Insight, iit bombay

Chief Editor

Apr 2015Mar 2016 · 11 mos · Mumbai Area, India

  • Insight is IIT Bombay's official English student media body, with the largest audience of any, globally.
  • Awarded the Institute Organizational Colour.

University of wisconsin-madison

Research Intern

May 2014Jul 2014 · 2 mos · Madison, Wisconsin Area

  • Interned in the Space Science and Engineering Center (SSEC). Wrote an application to convert NASA images to be suitable for use by Linux-based weather software.

Education

Princeton University

Master of Arts - MA — Computer Science

Jan 2017Jan 2019

Indian Institute of Technology, Bombay

Dual Degree (M.Tech and B. Tech) — Computer Science

Jan 2012Jan 2017

Indian Institute of Technology, Bombay

Bachelor of Technology - BTech

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