Nitin Nagesh Kulkarni, Ph.D.

Critic
DISC Type : C

Machine Learning Engineer II at Milwaukee Tool

Brookfield, Wisconsin, United States

Overview

Nitin is a Machine Learning Engineer at Milwaukee Tool, specializing in AI for Science. His expertise includes fine-tuning Large Language Models (LLMs) and applying physics-informed machine learning to solve complex engineering problems. He holds a Ph. D. in Mechanical Engineering from the University of Massachusetts Lowell.

Outside of his primary research, Nitin is actively engaged with the broader scientific community. He is a member of several professional organizations, including the American Society of Mechanical Engineers (ASME) and the Society for Experimental Mechanics (SEM), reflecting a deep commitment to his field.

Unique fact: During his doctoral studies, Nitin was recognized with both the "Outstanding Doctoral Student" and the "Student Leader of the Year" awards.

Personality Overview

Precise

Information Seeker

Negotiator

They enjoy working alone and do not rely on others very often.  They don’t appreciate bells and whistles unless backed by data. They prefer to do logical analysis and value evidence over emotions.

Topics They Care About

AI for Science
His work focuses on applying AI to scientific and engineering challenges, including wind turbine monitoring and damage detection, as stated in his professional summary.
Domain-Specific LLMs
Co-authored a paper on optimizing domain-specific AI systems using knowledge graphs and preference optimization, which was accepted at the NeurIPS AI4Science Workshop.
Physics-Informed ML
His Ph. D. research involved developing physics-informed variational autoencoders (PI-VAE), a core area of his technical expertise for solving problems with sparse data.

Media Appearances

Nitin has no verified media appearances

Work History

3-2025
Machine Learning Engineer II at Milwaukee Tool
8-2024 - 3-2025
Machine Learning Engineer at Milwaukee Tool
1-2021 - 8-2024
Research Assistant- SDASL Lab at University of Massachusetts Lowell
8-2019 - 12-2020
Research Assistant- M3D Lab at Texas Tech University - WCOE Department of Mechanical Engineering
12-2018 - 7-2019
Graduate Trainee at Mahindra Truck and Bus

Education

2021 - 2024
Doctor of Philosophy - PhD from University of Massachusetts Lowell
2019 - 2020
Master of Science - MS from Texas Tech University

More Information

Social Presence :

Prographics :

Exp : 6 Location : Brookfield, Wisconsin, United States Job Level : Middle Designation : Machine Learning Engineer II at Milwaukee Tool
URL has been copied!

Insights For Selling To Nitin Nagesh

During A Call Or A Meeting

DO's

  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.
  • Tell them what ROI they can expect

DONT's

  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t rush them till they have clearly gotten all the necessary information
  • Don't give superficial answers, they are easily rattled by them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Nitin Nagesh is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Nitin Nagesh

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Nitin Nagesh move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Nitin Nagesh take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Nitin Nagesh

Personality Compatibility


Other Milwaukee Tool Employees

Explore more public profiles from related professionals at the same organization.

More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.