Akhil Ambardekar
Liquid Rocket Propulsion Co-Lead at University of Toronto Aerospace Team- Claim this Profile
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English Native or bilingual proficiency
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Marathi Native or bilingual proficiency
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French Limited working proficiency
Topline Score
Bio
Credentials
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FUNDAMENTALS OF DEEP LEARNING
NVIDIAMay, 2021- Sep, 2024 -
PHYS-209-ENx: Introduction to Astrophysics
EPFL (École polytechnique fédérale de Lausanne)Aug, 2019- Sep, 2024
Experience
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University of Toronto Aerospace Team
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Canada
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Aviation and Aerospace Component Manufacturing
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1 - 100 Employee
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Liquid Rocket Propulsion Co-Lead
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Sep 2020 - Present
Launched Canada’s 1st hybrid rocket 21 500 ft at Launch Canada and won 1st in advanced category. As a lead/executive, I managed weekly team meetings with 20 members; used project management software to delegate tasks for team productivity. Successfully built and launched a solid rocket 3000 ft to attain L1 certification from Tripoli Rocketry Association in July 2022. Accurately modelled rocket components in SolidWorks and verified performance through rapid prototyping (3D printing) flow visualization tests and Ansys Structural Simulation and Ansys Fluent CFD. Developing Python object-oriented liquid rocket simulator and reduced compute times by 20%; interfaced with OpenRocket modelling. Repurposing a MATLAB simulation into Python to improve performance and accuracy. Integrating repositories like NASA combustion analysis (CEA) to accurately predict/simulate a flight profile and trajectory. Collaborating with interdisciplinary subteams' MATLAB programs to integrate into the simulation; Clear communication through GitHub version control and thorough documentation.
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NSight Mentorship Program
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Education Management
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Co-Chair
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Sep 2021 - Present
Led a team of 5 executives and 30 mentors to organize mentee-mentor relationships for 1st and 2nd-year students. Collaborated with faculty and student government to plan and execute events and panels catered for 1st and 2nd-year students. Ensured cohesion between promotional, mentorship, and financial aspects; motivated students with team-building events. Led a team of 5 executives and 30 mentors to organize mentee-mentor relationships for 1st and 2nd-year students. Collaborated with faculty and student government to plan and execute events and panels catered for 1st and 2nd-year students. Ensured cohesion between promotional, mentorship, and financial aspects; motivated students with team-building events.
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Toronto Metropolitan University
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Canada
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Higher Education
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700 & Above Employee
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Control Systems Student Researcher
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May 2022 - Aug 2022
Working with 2005-15 Canada Research Chair Prof. Krishna Kumar. Analyzed fault detection, isolation, and reconstruction for mechatronics systems in aerospace applications; implemented reinforcement learning to Kalman filter in MATLAB to improve fault isolation performance. Investigated the impact of sampling points and initial conditions on reinforcement learning results for fault isolation. Working with 2005-15 Canada Research Chair Prof. Krishna Kumar. Analyzed fault detection, isolation, and reconstruction for mechatronics systems in aerospace applications; implemented reinforcement learning to Kalman filter in MATLAB to improve fault isolation performance. Investigated the impact of sampling points and initial conditions on reinforcement learning results for fault isolation.
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National University of Singapore
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Singapore
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Higher Education
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700 & Above Employee
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Student Researcher
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May 2021 - Jul 2021
I was selected for the University of Toronto's ESROP Global research program from my class of 1st-year students for an international research opportunity at the National University of Singapore. I successfully optimized a feedforward neural network using Bayesian Optimization in MATLAB, achieving a MSE of the order of 10^-7. This network takes 4 layer thicknesses of a transparent perovskite top cell and outputs the efficiency, and reflectance and transmittance of light. In comparison to the mathematical model, the network reduces the computational time by 3 orders of magnitude. Using my optimized network, I developed a Pareto front to optimize and visualize the efficiency and transmittance with a genetic multi-objective algorithm. Additionally, I developed an easy-to-use GUI with a MATLAB app to ease the use of the optimized neural network and Bayesian Optimization training. Communicated findings in a professional 30-page report to be used in future publications and papers. Investigated results of 4000-run datasets to develop a physics-based explanation for solar cell’s optimal physical parameters.
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Kumon North America, Inc.
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United States
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Education Administration Programs
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700 & Above Employee
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Teaching Assistant
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Sep 2017 - Sep 2020
I coach students across a wide range of ages (4 to 18) and a variety of topics. Topics in mathematics range from elementary number skills to calculus, while topics in reading range from spelling to advanced reading comprehension. Primarily, I assist and teach young children. I coach students across a wide range of ages (4 to 18) and a variety of topics. Topics in mathematics range from elementary number skills to calculus, while topics in reading range from spelling to advanced reading comprehension. Primarily, I assist and teach young children.
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Education
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2020 - 2024
University of Toronto
Bachelor of Applied Science in Engineering Science, 3.98 -
2016 - 2020
John Fraser Secondary School
Ontario Secondary School Diploma, Advanced Placement
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