I do research, experimentation of machine learning systems for Medical devices development at Medtronic Surgical.

My academic research focus on the reliability of medical vision-language models.

I believe safe and educated adoption of AI-driven systems can make healthcare equitable around the world.

My beliefs

We can help create a world we’re glad to live in.

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  • Build things that are useful to people.

    I care about where the work ends up. In healthcare, I want what I build to help someone make a better decision or make good care more accessible. That purpose helps me choose which problems are worth spending time on, even when the answer is a long way off.

  • Understand why something works.

    A good result makes me curious about what produced it. I want to understand the assumptions behind it and the conditions under which it fails. Finding a failure can be useful progress. It gives us something specific to investigate and a better question to ask next.

  • Make problems easy to talk about.

    I want to hear about a concern while there is still time to act, even if we cannot fully explain it yet. My response should make it easier for people to speak up again. I try to thank them for raising it, then help work out what we need to do.

  • Give people a clear goal and room to act.

    I want people to understand why the work matters and who is responsible for moving it forward. That responsibility should come with the authority to make decisions. I explain the constraints, offer honest feedback, and trust the person doing the work to choose how to approach it.

  • Help people grow through the work.

    I want people to take on work they could not have done a year earlier. My part is to give them a chance, stay available when they need help, and let them develop their own judgment. When the work succeeds, the people who did it should get the credit.

  • Stay open to being wrong.

    I try to ask what would change my mind, especially when I like my own answer. When the evidence points elsewhere, I need to follow it and explain what I got wrong. If I was confident in public, I should be willing to correct myself there too.

Reading

2026 Reading Challenge

2026 Reading Challenge
Binesh has read 5 books toward their goal of 20 books.
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Binesh's bookshelf: read

The Let Them Theory
Helping Patients Outsmart Overeating: Psychological Strategies for Doctors and Health Care Providers
Run to the Finish: The Everyday Runner's Guide to Avoiding Injury, Ignoring the Clock, and Loving the Run
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
The Singularity is Near: When Humans Transcend Biology
The Singularity Is Nearer: When We Merge with AI
Travelers in the Third Reich: The Rise of Fascism: 1919–1945
Convention: A Philosophical Study
The Encyclopedia of Curious Rituals and Superstitions: Ancient and Remarkable Traditions That Will Captivate Your Mind
Tiny Traumas: When You Don't Know What's Wrong, But Nothing Feels Quite Right
A Promised Land
The 5 Second Rule: Transform Your Life, Work, and Confidence with Everyday Courage
What Motivates Getting Things Done: Procrastination, Emotions, and Success
Hidden Potential: The Science of Achieving Greater Things
The Audacity of Hope: Thoughts on Reclaiming the American Dream
How to Do Nothing: Resisting the Attention Economy
Grit: The Power of Passion and Perseverance
The Psychology of Money: Timeless Lessons on Wealth, Greed, and Happiness
Predictably Irrational: The Hidden Forces That Shape Our Decisions
Steve Jobs


Binesh Kumar's favorite books »

Running

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