Mrutyunjay Biswal
1.6K posts

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



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…



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.

yey boi! top-k recall: 0.9976!!! Stabilised HNSW implementation with high recall. Here's full codebase: github.com/Mrutyunjay01/v…




someone at ANTHROPIC just showed CLAUDE finding ZERO DAY vulnerabilities in a live conference demo claude has found zero day in Ghost, 50,000 stars on github, never had a critical security vulnerability in its entire, history... it found the blind SQL injection in 90 minutes, stole the admin api key, then did the exact, same thing to the linux kernel


Ookay, definitely f'ed up! imma pretend I ain't bench the recall :)

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)


Men incapable of guilt tend to have a good time hitting 120K/s QPS and 106K/s insertion throughput on a buggy Rust-implementation of HNSW.


Alright, Wrapped up the HNSW paper. Next up: > add impl to existing VeSar codebase > run benchmark suite (qps, thrpt, recall at k) > take up LSH and PQ papers.

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.


Alright, giving up latency for recall. Good low-hanging fruit for autoresearch paradigm to find the most optimal multi search paths (m) and nodes to connect (f). HNSW paper next, followed by implementation.

game theory + marketing psychology + insane implementation speed + delusional optimism + specific knowledge = the highest form of leverage










