Divyanshu Kumar

About

Research engineer. I work on making AI systems efficient, secure and private, and on what breaks when they are none of those.

An illustrated portrait of Divyanshu, arms folded, in a black t-shirt.
The author, illustrated.

I am an AI Research Engineer at Anaconda, which acquired Enkrypt AI this August. Most of my work sits on one stack: making models smaller and faster to run, finding out how they fail, building the guardrails that catch it, and keeping the data they learned from private. The stack keeps getting taller, which I don’t mind.

From Berai, Sarai, Bihar · B.Tech, Kolkata · IISc Bangalore · Enkrypt AI, ~300 models red-teamed · Anaconda, 2026

what I work on

Quantization is how you get a large model onto hardware you can afford. In 2024 we found it also makes the model easier to talk out of its rules. I think about that result a lot, because it is the pattern. Efficiency, security and privacy are usually treated as separate subjects, and they are not. Change one and the other two move.

At Enkrypt I was the founding ML research engineer. I built the adversarial testing pipelines we ran against about 300 foundation models, and the production guardrails that came after. Guardrails are not free. Every refusal you add costs something in usefulness, and measuring that trade is most of the job.

Before that I was a Research Associate at IISc Bangalore with Prof. Prathosh A.P., on machine translation for Indic languages, machine unlearning in generative models, and privacy-preserving ML. That is where differential privacy got hold of me. I later wrote a four-part series on it, from the definition to DP-SGD.

Two questions are on my desk now. With Fabrizio Frasca at Technion: does an LLM’s answer about a graph change when you only change how the graph is written down? And in diffusion language models, which write by denoising rather than left to right: is there a step at which the output turns harmful, and can the model take it back?

My first research was text summarization at Helppr AI, in 2020. Outside work I read more code than I write, tinker with Go and ssh at weekends, and this June I finished BlueDot Impact’s Technical AI Safety course. If any of this is your problem too, write to me.

where I’ve worked

Work and research

Open source

Education

Reviewing

where this happened

I am from Berai, a village in Sarai, Bihar. Since then I have lived in Patna, Kolkata, Delhi and Bangalore, in that order. Kolkata is where I studied electronics and communication engineering, at Narula Institute of Technology, until 2022. Bangalore is where IISc and Enkrypt happened. Singapore is where I presented our AAAI-26 workshop papers, in person. Malaysia, the Philippines and Bali are where I wander around.

All the places →

contact

If any of this is your problem too, write to me:

kumardivy1999 [at] gmail [dot] com

I’m also on Scholar, GitHub, LinkedIn, X, and there’s a CV.