Kriti Aggarwal

Senior Staff Applied Scientist 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 (69)

security9
security-scanner9
zap9
python8
deep-learning8
gpu8
machine-learning8
modality7
representations7
owasp7
cucumber7
sneakers7
zaproxy7
neural-network6
high-resolution6

Programming languages (5)

JavaGoJupyter NotebookRubyPython

Github contributions (5)

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kritiagg/Bert

Apr 2019 - Feb 2025

Contributions:1 push, 1 branch in 5 years 10 months
kritiagg/research-papers

Jul 2017 - Mar 2022

Contributions:139 pushes, 1 branch in 4 years 8 months
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