Ankesh Anand
Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAnkesh Anand is a Research Scientist at Google DeepMind in London with 13 years of experience bridging deep learning research and production software. He completed a PhD in Machine Learning at Université de Montréal / MILA after an Integrated MSc in Mathematics and Computing from IIT Kharagpur, and his trajectory includes research internships at DeepMind, Google, and Microsoft alongside earlier software engineering roles at Visa and HackerEarth. Ankesh focuses on reinforcement learning and deep learning methods, bringing both academic rigor and practical engineering experience to large-scale ML problems. Notably, his path from production-facing software roles to MILA’s PhD program highlights a pragmatic mindset: building systems that are not only scientifically novel but also deployable. Based in London, he combines international research collaborations with hands-on contributions to cutting-edge AI initiatives at DeepMind.
13 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Université de MontréalIntegrated MSc, Mathematics and Computing, Integrated MSc, Mathematics and Computing at Indian Institute of Technology, Kharagpur
English, Hindi
Stackoverflow
1,705reputation
165kreached
2answers
13questions
Github Skills (184)
parallel10
python10
visa10
representations10
deep-learning10
gpu10
optimization10
representation-learning10
gfycat10
deep-reinforcement-learning10
actor-critic10
q-learning10
data-science10
reinforcement-learning10
information-theory10
Programming languages (7)
Github contributions (5)
mila-iqia/spr
Jul 2019 - Dec 2021
Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
Contributions:831 commits, 56 pushes, 2 branches in 2 years 6 months
actor-criticrepresentationsreinforcement-learningdeep-reinforcement-learningpredictive
ankeshanand/neural-cryptography-tensorflow
Nov 2016 - Apr 2019
Neural Networks that invent their own encryption :key:
Contributions:2 releases, 16 commits, 1 PR in 2 years 5 months
encryptionpythonencryption-keyneural-networks
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