Nimish Gåtam

Vice President Of Artificial Intelligence Engineering at Nordic AI Ventures

Copenhagen, Capital Region of Denmark
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Summary

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Senior
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Nimish Gåtam is a seasoned AI and NLP leader with 12+ years building data-driven products and advising organisations on responsible, impact-focused AI. Currently Vice President of Artificial Intelligence Engineering and an AI consultant for Nordic AI Ventures, he blends hands-on model development (embeddings, topic modelling, LLMs) with product strategy and governance to operationalise ethical AI. His background ranges from research roles at Carnegie Mellon and Wikimedia to CTO stints driving diversity-focused language models and GDPR-compliant deployments, giving him deep experience across academia, startups, and policy. He’s led R&D that turned political speech corpora into actionable insights and helped secure public funding, a testament to his ability to marry rapid prototyping with real-world impact. Colleagues know him for making complex ML engineering approachable and enjoyable while keeping user intent, compliance, and societal benefit front and center.
code12 years of coding experience
job11 years of employment as a software developer
bookBS Computer Science, BS Computer Science at Georgia Institute of Technology
bookMasters Computational Linguistics, Masters Computational Linguistics at Carnegie Mellon University
languagesDanish, Swedish, English, German
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Stackoverflow

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Github Skills (42)

webcam10
rp204010
atmel10
firmware10
usb10
keyboard10
avr10
arm10
deepfake10
realtime9
web-application9
artificial-intelligence9
qmk9
nodejs9
configurator8

Programming languages (4)

CJavaScriptRubyPython

Github contributions (5)

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Contributions:3 commits, 2 pushes, 1 branch in 1 year 11 months
nimishgautam/qmk_firmware

Mar 2022 - Jan 2025

Open-source keyboard firmware for Atmel AVR and Arm USB families
Contributions:17 pushes, 1 branch in 2 years 10 months
rp2040nrf52840firmwareavratmel
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Nimish Gåtam - Vice President Of Artificial Intelligence Engineering at Nordic AI Ventures