Accomplishments

1st Place Worldwide in Robotics & Intelligent Machines @ Regeneron ISEF (2023): Won 1st place worldwide in the Regeneron International Science and Engineering Fair (ISEF). Built a precision rocket landing algorithm using convolutional neural networks and a model predictive control algorithm.

3rd Place Worldwide in Engineering Technology: Statics and Dynamics @ Regeneron ISEF (2024): Won 3rd place worldwide in the Regeneron International Science and Engineering Fair (ISEF). Built an altitude adaptive dynamic rocket engine nozzle.

Altitude Adaptive Dynamic Rocket Engine Nozzle Patent Application (2024): Published a US Patent Application on an altitude adaptive dynamic rocket engine nozzle that decreases the cost of space transportation by 71%. (U. S. Patent Application No.: 63/637,475)

Turbopump Patent Application (2023): Published a US Patent Application on a regenerative cooling-inspired rocket engine Turbopump that needs significantly less parts to be built than status-quo Turbopumps. (U. S. Patent Application No.: 18/112,223)

ONR Special Award @ Regeneron ISEF (2024): Won the ONR (Office of Naval Research on behalf of United States Navy and Marine Corps scholarship, $15,000) award in the Regeneron International Science and Engineering Fair (ISEF)

SAE Special Award @ Regeneron ISEF (2023): Won the SAE (Society and Aerospace and Automotive Engineers) award ($2,000) in the Regeneron International Science and Engineering Fair (ISEF)

1st Place Statewide Massachusetts @ MSEF (2024): Selected to represent state of Massachusetts for the International Science and Engineering Fair (ISEF) by winning the first place prize in the Statewide Massachusetts Science and Engineering Fair. Built an altitude adaptive dynamic rocket engine nozzle.

1st Place Statewide Massachusetts @ MSEF (2023): Selected to represent state of Massachusetts for the International Science and Engineering Fair (ISEF) by winning the first place prize in the Statewide Massachusetts Science and Engineering Fair. Built a precision rocket landing algorithm using convolutional neural networks and a model predictive control algorithm.

Z Fellows & 1517 Medici Foundation (2023): Working on building systems which can grow and train biological neural networks - project received more than $1 million in total in investments.

Presenter at American Control Conference (2023): Accepted to present “Precision Rocket Landing Model Predictive Control Algorithm,” The Poster Session, 2023 American Control Conference on May 31-June 2 2023.

Masayoshi Son Foundation Selected Member (2022): Selected as an member to the Masayoshi Son Foundation by the selection committee: Shinya Yamanaka (2012 Nobel Prize Winner in Medicine), Makoto Gonokami (President of Tokyo University 2015-2021) and Masayoshi Son (Founder of Softbank). https://masason-foundation.org/en/

AIME (2023): Placed in the top 5% nationally in the American Math Competition (AMC), qualifying for the American Invitational Math Exam (AIME).

Experience

Electrical & Mechanical Engineering

Control Algorithms: Model Predictive Control (MPCs), Proportional Integral Derivative Controllers (PIDs), Linear and Non-linear Modeling & Optimization.

Additive Manufacturing: 3D Printing, CAD

Rocket Engines: Turbopump Design, Nozzle Design, Fluid Mechanics.

Sensors and Actuators: Microcontrollers (Arduino), LIDAR Sensors, Electromagnetic Relays, Electric Servos, Barometric Altimeters

Simulation Softwares: ANSYS CFD