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.

  • 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.

  • 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.

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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