Anubhav Singh
Postdoctoral Fellow at University of Toronto
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAnubhav Singh is a Postdoctoral Fellow at the Toronto Intelligent Decision Engineering Lab with a decade of experience bridging AI research and enterprise security engineering. He holds a PhD in AI Planning from the University of Melbourne and has taught graduate courses in AI planning and machine learning while contributing to research and development projects. His background spans Azure data engineering and ETL pipeline development, SSO integrations, and rigorous IT security assessments for global clients, giving him a rare combination of hands-on cloud/data skills and compliance-focused security expertise. Comfortable moving between academia and industry, he has designed practical tooling and reporting systems in past consulting roles and brings that product-minded perspective to research problems. Colleagues describe him as steadily upward-moving—analytical, implementation-oriented, and adept at turning formal planning methods into deployable solutions.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, 78%, Bachelor of Technology (B.Tech.), Computer Science, 78% at Jaypee Institute of Information Technology, NoidaThe University of Melbourne
Hindi, English
Github Skills (24)
first-order-logic9
planning8
modeling8
agent-based-modeling8
robot7
val7
inkscape6
machine-learning6
python6
dxf5
kotlin5
artificial-intelligence5
cnc-controller4
gcode4
3d-printer4
Programming languages (7)
Github contributions (5)
LAPKT-dev/LAPKT-public
Jun 2020 - Oct 2022
LAPKT public repository
Contributions:4 releases, 284 commits, 13 PRs in 2 years 4 months
public-repository
anubhav-gres/tarski
Sep 2019 - Feb 2022
The Tarski Planning Problem Definition Module
Contributions:10 PRs, 11 pushes in 2 years 5 months
planningdefinitionproblem
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