Mrutyunjay Biswal

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Mrutyunjay Biswal

Mrutyunjay Biswal

@LearnStochastic

Applied ML ▪ Senior SWE (AI) - R&D @SiemensHealth ▪ Building in Healthcare Space ▪ Tech x Finance x Chess x Books x Writing

参加日 Mayıs 2019
427 フォロー中202 フォロワー
Abheesht Sharma
Abheesht Sharma@penstrokes75·
Is kernel the most overloaded term in ML/CS? SVM kernels, CUDA/Pallas kernels, CNN filters, OS kernel…did I forget any?
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Mrutyunjay Biswal
Mrutyunjay Biswal@LearnStochastic·
> did some clean up around data models for Action, Observation and State, to be consistent with open-env paradigm > added tkinter ui, god save from fen notations :) > experimental td learning with learnable board position matrix next up: q learning/more rl techniques + scaling
Mrutyunjay Biswal tweet media
Mrutyunjay Biswal@LearnStochastic

Update on this: > set up chess engine with mini-max with alpha-beta pruning agent. > design philosophy for agent-env interactions: reset & step. next: move to Open Env style comms. github: github.com/Mrutyunjay01/s…

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Mrutyunjay Biswal
Mrutyunjay Biswal@LearnStochastic·
<< frame this >>
Will Ahmed@willahmed

You have no experience. You’ve never started a company. You’ve never had a full time job. Nike is going to kill you. You’re a kid. You don’t have technical skills. You shouldn’t build hardware. Apple is going to kill you. You can’t build hardware. You can’t measure heart rate non-invasively. Athletes don’t care about recovery. Under Armour is going to kill you. It won’t be accurate. You don’t listen. You’re an ineffective leader. You can’t recruit great talent. You’re going to have to pay every athlete. You can’t measure sleep non-invasively. It’s too expensive to research. Athletes are a small market. The product costs too much to make. The product costs too much to sell. Your valuation is too high. Consumers aren’t going to want it. Hardware is too hard. You should measure steps. Fitbit is going to kill you. You can’t build a marketing engine. You can’t raise enough money. You need a real CEO. Google is going to kill you. You can’t be a subscription. You can’t build a brand. You can’t do consumer in Boston. Your valuation is too high. You shouldn’t make accessories. You shouldn’t make apparel. Lululemon is going to kill you. You can’t predict Covid. Stay in your niche. You are going to run out of money. You can’t build a health platform. Amazon is going to kill you. You can’t measure blood pressure. You can’t get medical approvals. The market is too small. You don’t understand AI. The market is too competitive. It won’t work internationally. The supply chain is too complicated. You can’t build an AI. You can’t raise enough money. It’s too competitive. Healthcare isn’t going to want it. … Just keep going ✌️

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Jackmin
Jackmin@jackminong·
why does everyone want an IR?
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Mrutyunjay Biswal
Mrutyunjay Biswal@LearnStochastic·
Update on this: > set up chess engine with mini-max with alpha-beta pruning agent. > design philosophy for agent-env interactions: reset & step. next: move to Open Env style comms. github: github.com/Mrutyunjay01/s…
Mrutyunjay Biswal tweet media
Mrutyunjay Biswal@LearnStochastic

Taking a sort diversion from the vesar (vector search impl in rust) work, will come back to it to finish the blog and add benchmark some real-world datasets. But, this weekend, we scale RL with OpenEnv.

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yashaswi.
yashaswi.@pixperk·
skipped college. will try to complete this by lunchtime.
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Mrutyunjay Biswal
Mrutyunjay Biswal@LearnStochastic·
Search has been the fundamental problem in Science, Engineering, and Psychology since decades.
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Shubham Mishra
Shubham Mishra@brahma_4u·
Just found that, China supplies ~85% of India's toothbrush imports, but wait there's more: - 70% of toys. - 45%+ of consumer electronics components. - 90%+ of Diwali lights & decorations. - 70% of Active Pharmaceutical Ingredients (APIs). - 100% of lithium batteries. From our morning routine to festival nights it's China, quietly running the show. No wonder why India's import bill from China was $101 billion (2023-24). While the trade deficit was $85 billion. The dependency isn't a coincidence. It's structural. India is not lacking capabilities, but intent and vision at scale. Phased manufacturing is not the only playbook we can have.
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Mrutyunjay Biswal
Mrutyunjay Biswal@LearnStochastic·
Taking a sort diversion from the vesar (vector search impl in rust) work, will come back to it to finish the blog and add benchmark some real-world datasets. But, this weekend, we scale RL with OpenEnv.
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Archie Sengupta
Archie Sengupta@archiexzzz·
who is building the anduril & palantir in india? is there any founder operating in the defence sector i can talk to to pick their brains? please tag them below or dm me.
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Mrutyunjay Biswal
Mrutyunjay Biswal@LearnStochastic·
I might just have learnt the greatest introduction template and ofc a great lecgture on concurrency and mutexes. "Hey, I am <insert-name>. As you've heard, that's who I am."
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Mrutyunjay Biswal
Mrutyunjay Biswal@LearnStochastic·
Building a Palantir for India! Might just be the perfect spark and set of problem statements to begin with. cc: @suhasasumukh (might be of interest)
ADG PI - INDIAN ARMY@adgpi

Seeking Solutions for Technological Challenges The Indian Army had released the Compendium of Technological Challenges (#CTC 2025) on 23 September 2025, outlining 41 futuristic challenges across domains such as Unmanned Systems, AI, Quantum Technologies and Directed Energy Weapons. The index of the compendium is available on the Army Design Bureau (ADB) webpage. Interested agencies may request detailed information by emailing CPOS.1234@GOV.IN to obtain the relevant sections of the compendium. The last date to request details is 20 April 2026, and solutions may be submitted by 31 May 2026. Further updates are available on the ADB webpage.

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Bojan Tunguz
Bojan Tunguz@tunguz·
Making old people happy is one of the simplest, most wholesome, and most gratifying things you can do.
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