Sanjay Thakur

Founder at Widushi Education

Machine LearningDeep Tech EntrepreneurshipSequential ModelingScalable SaaS ArchitectureEngineering LeadershipRobotics

About

I'm Sanjay Thakur, the Founder of Widushi Education. My career has been defined by a transition from high-level academic research in machine learning to building and scaling deep tech ventures. After completing my MS at Mila and McGill and successfully founding and exiting Markovian AI in Toronto, I am now focused on solving a massive real-world challenge: using AI to automate handwritten answer evaluation. I consider myself a hands-on tech builder at heart, passionate about educational equity and creating resilient, scalable SaaS platforms. I’m currently looking to connect with fellow EdTech innovators, educators, and investors who believe that technology should be used to bring speed, accuracy, and fairness to the global education system. Whether you want to talk about ML optimization or the nuances of startup execution, I'm always open to meaningful professional engagement.

Networking

What I can offer

›Deep expertise in scaling engineering teams
›Insights into deep tech entrepreneurship and exits
›Applied machine learning research and implementation
›SaaS and embedded systems architecture

Looking for

›Educators and EdTech innovators
›Investors interested in AI-native educational tools
›Collaborators in the global AI research community

Best fit for

EdTech foundersAI researchersVenture capitalistsEngineering leaders

Current Interests

AI-native educational toolsAutomating handwritten answer evaluationDeep tech startup executionScalable SaaS platformsML optimization

Background

Career

Transitioned from ML research at Mila and McGill to deep tech leadership, founding and exiting Markovian AI before launching Widushi Education.

Education

MS in Computer Science from Mila - Quebec Artificial Intelligence Institute; Masters in Computer Science from McGill University; Bachelor’s Degree in Computer Science from MNIT Jaipur.

Achievements

›Work cited 700+ times in top-tier ML and robotics conferences
›Successfully founded and exited a deep tech venture (Markovian AI)
›Winner of multiple global hackathons and innovation challenges
›Selected for the prestigious MITACS Globalink research internship program

Opinions

Real-world problems deserve real-world solutions at scale rather than just theoretical exercises.
Education systems must utilize technology to achieve speed, accuracy, and fairness.
Identifies as a 'hands-on tech builder' rather than just a manager or researcher.