Mayank Lunayach
Research Engineer at Google DeepMind
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMayank Lunayach is a research engineer in the Bay Area with nine years of experience at the intersection of large-scale ML research and production software, currently contributing to Gemini pre-training at Google DeepMind. He has moved between core Search and cloud data-efficiency efforts at Google and hands-on robotics perception and deep learning research during his MS at Georgia Tech. His background spans applied ML roles—from improving ASR/NER pipelines and IoT data ingestion to building conversational retrieval agents and efficient storage systems—demonstrating both research rigor and production-minded engineering. A repeat Google mentor and award-winning open-source contributor, he brings proven mentorship and community impact on top of technical delivery. Known for bridging academic research and product-scale systems, he thrives on turning novel ML ideas into robust, deployable solutions.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyIndian Institute of Technology Kanpur
Github Skills (67)
python10
leaderboard10
django10
codecov10
ai10
evaluation-framework10
nlp-machine-learning10
flair10
artificial-intelligence10
angularjs10
contextual-embeddings10
reproducible-research10
coveralls10
docker10
evaluation10
Programming languages (7)
Github contributions (5)
DelTA-Lab-IITK/U-CAM
Aug 2019 - Jan 2020
Visual Explanation using Uncertainty based Class Activation Maps
Contributions:23 commits, 1 PR, 23 pushes in 5 months
activationactivation-mapsclass-basedclass-activation-mapsexplanation
lunayach/visNER
Jul 2019 - Sep 2021
In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.
Contributions:18 commits, 9 PRs, 17 pushes in 2 years 2 months
frontendnerflairflair-embeddingsnlp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.