Divanshu Sharma — Applied AI / ML Systems Engineer

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DIV-1 online. It answers for Divanshu Sharma — a founding engineer who ships reliable AI products. His focus is LLM evaluation, inference and reliability. Right now he leads the technical turnaround of Uniiq's AI advising platform; before that, privacy-preserving ML research at Yale and three years of quant research at WorldQuant BRAIN. The depth is public: 24 merged PRs to AI infrastructure like Mastra and EleutherAI's lm-evaluation-harness, and 47 from-scratch rebuilds of the modern AI stack. Each of the 62 stars behind this card is one of his real systems — hover one, or ask anything and watch the answer assemble.

Divanshu Sharma

Applied AI / ML Systems EngineerLLM evaluation, inference & reliability

Founding Engineer @ Uniiq · Mumbai, India

Open to AI engineering & founding roles

Founding engineer who ships reliable AI products — currently leading the technical turnaround of Uniiq's AWS-deployed AI advising platform: 40+ critical vulnerabilities resolved, LLM sanitization and recoverable AI failures, LCP cut from 3.3s to 0.7s. Before that: privacy-preserving deep learning research at Yale and three years of quantitative research at WorldQuant BRAIN.

40+
critical vulnerabilities resolved
Uniiq turnaround · LCP 3.3s → 0.7s
24
merged upstream PRs
Mastra · EleutherAI lm-eval · +18 bugs fixed upstream
88.08%
ChestMNIST accuracy under MPC
from-scratch DL library, Yale
>48%
absolute WER reduction
Hindi ASR on FLEURS