Applied AI Engineer

Simran Malik

An applied AI engineer building AI-powered solutions across AI agents, search & retrieval, model training and fine-tuning. As a NeurIPS 2026 co-author, skilled in evaluating AI systems and the sources they cite. Previously, a software engineer for 4+ years at Google shipping critical high-volume distributed systems.

I combine my powers of backend software engineering at scale, AI-powered solutions & evaluations and research-level rigorous experimentation to build AI systems which will work on a bad day.

4+ yrsGoogle
NeurIPS2026 co-author
2Patents in Preparation
M.S.CS · AI, UC San Diego
Work
Publications
NeurIPS 2026 · Evaluations & Datasets TrackAccepted

SourceBench: Can AI Answers Reference Quality Web Sources?

H. Jin*, S. Liu*, Y. Li*, S. Malik, Y. Zhang (*equal contribution)

Evaluated web sources cited by 12 AI systems on 8 quality metrics across 100 diverse questions. Proposed the research direction and the human-labeled ground truth, and built the evaluation pipeline behind the main results.

Led the Google vs. AI-search study: top AI systems cite sources largely absent from Google's top results (16% overlap for GPT-5 vs. 55% for Tavily). Also caught a prompt-bias bug that would have skewed every system's results.

Projects
Life Away from keyboard

Usually, you can find me detecting edge cases where my AI system would fail, figuring out why, and iterating over solutions. Otherwise, you will find me curled up with a cosy murder mystery and a hot cup of tea!

Murder Mysteries

I have read all Agatha Christie books :)

Chai

Sipped in peace with the morning sun

Knitting & Crocheting

Crafted 4 mufflers, 1 pair of gloves, 1 crochet top while listening to audiobooks

Contact

Have a question? Interested in collaborating? Get in touch.

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© 2026 Simran Malik