Navjot M
Head Of Applied AI Research, Adobe Brand Intelligence & Firefly Enterprise
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNavjot M is a Principal ML Scientist with 9 years of experience building production-grade NLP and LLM systems, currently leading Adobe’s Applied AI effort to create a foundational Brand Intelligence layer for enterprises. Previously a founding ML research engineer at Cresta, he led the development of one of the first contact-center foundation models, proprietary RAG and chunking pipelines, and patent-pending multi-agent and attribution techniques to reduce hallucinations. He co-founded Doculus (acquired by Box), where he built sequence-tagging and mobile-first document tooling for contract automation, and earlier shipped award-winning mobile products at Y Media Labs. Combining deep math/CS training from IIT Kharagpur with a track record of shipping research into product, he excels at closing the gap between cutting-edge LLM research and robust, enterprise-grade deployments. An interesting through-line: he repeatedly invents practical, domain-aligned model tooling (from chunking to judge-style evaluation) that outperforms general-purpose LLMs in enterprise contexts.
10 years of coding experience
16 years of employment as a software developer
Bachelor of Science (BSc) & Master of Science (MSc) Mathematics and Computer Science, Bachelor of Science (BSc) & Master of Science (MSc) Mathematics and Computer Science at Indian Institute of Technology, Kharagpur
Github Skills (39)
transformers10
pytorch10
python10
machine-learning-models10
machine-learning10
inference10
multimodal10
llm10
audio10
fastai10
deep-learning10
gpu10
natural-language-processing10
gemma10
transformer10
Programming languages (5)
Github contributions (5)
navjotts/baby-cry-detector
Nov 2018 - Nov 2018
Uses DL techniques to detect whether a baby is crying
Contributions:60 commits, 2 PRs, 39 pushes in 25 days
babydetecttechniques
navjotts/resume-assistant
Jul 2018 - Nov 2018
NLP powered assistant to improve your resume
Contributions:27 PRs, 399 pushes, 38 branches in 3 months
natural-language-processing
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