Kriti Aggarwal

Director Of Model Alignment at Hippocratic AI

Redmond, Washington, United States
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Summary

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Senior
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Top School
Kriti Aggarwal is a Senior Staff Applied Scientist with 11 years of experience building production-grade deep learning systems, now focused on generative AI and multi-modal speech-text representation at HippocraticAI in Redmond. She has driven large-scale multimodal and LLM projects at Microsoft, including state-of-the-art image-text models (Bletchley), a pixel-based visual document understanding model (DUBLIN), and low-latency QA relevance systems that improved Bing’s coverage and accuracy. Her work spans the full ML lifecycle from dataset engineering and recipe tuning for instruction fine-tuning to deploying models under strict latency budgets, demonstrating both research depth and product impact. Trained at UC San Diego and with a background in security tooling from Adobe, she brings a rare blend of applied research, scalable engineering, and security-minded pragmatism. An interesting through-line: she repeatedly builds large curated datasets (e.g., a 1B image-text-caption-entity corpus) to unlock model breakthroughs rather than relying solely on off-the-shelf corpora.
code11 years of coding experience
job9 years of employment as a software developer
bookUniversity of California, San Diego
bookB.tech Software Engineering, B.tech Software Engineering at Delhi College of Engineering
languagesEnglish, Hindi
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Github Skills (45)

python8
zap8
security8
security-scanner8
checkmarx7
cucumber7
machine-learning7
gpu7
zaproxy7
deep-learning7
convolutional-neural-networks6
neural-network5
transfer-learning5
paper5
numpy5

Programming languages (5)

JavaGoJupyter NotebookRubyPython

Github contributions (5)

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kritiagg/kritiagg.github.io

Mar 2018 - Apr 2026

Contributions:5 pushes, 1 branch in 8 years 2 months
kritiagg/Bert

Apr 2019 - Feb 2025

Contributions:1 push, 1 branch in 5 years 10 months
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