Akash Lanard's Picture

Akash Lanard

Emails: akash.lanard@mail.mcgill.ca, akashlanard07@gmail.com

About Me

Currently pursuing an M.Sc. (thesis) in Computer Science at McGill University, expected to graduate in May 2027. My coursework has focused on machine learning, particularly graph neural networks and large language models, along with distributed systems and computer networks, while my thesis research focuses on auditable access control for physical AI agents operating in multi-organization spaces.

At present, I am a Research Intern in Agentic AI at Huawei's Noah's Ark Lab, building MCP-based tools and RAG applications as part of research on autonomous AI agents for planning, reasoning, tool use, and multi-step problem solving. Alongside this, I serve as a Teaching Assistant at McGill for courses in the School of Computer Science and the Department of Electrical and Computer Engineering.

Before McGill, I spent two years at Cefalo Bangladesh Ltd. as a full-stack software engineer, working with House of Math, a Norwegian e-learning company. Most of that time was spent on the monetization team, building the subscription model and collaborating with product owners across various parts of the application.

Competitive programming has also been a significant part of my background: I competed at the ICPC World Finals in 2021, earning an honorable mention while representing North South University, and received several national and regional awards in the Bangladesh Mathematical Olympiad in high school.