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Shantanu
- Rate R488
- Response 1h
R488/h
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- Maths
- Physics
- Algorithms
- Information Technology
Engineering professional (bachelor from UIUC and Masters from UT Austin) teaches math and physics from middle school, high school and undergrad students near Durham, NC
- Maths
- Physics
- Algorithms
- Information Technology
Lesson location
About Shantanu
SHANIT DEV (concealed information) | (concealed information) Aerospace engineer with a specialization in controls, autonomy and robotics. Possess a strong foundation in autonomy, estimation, machine learning, controls, and hypersonics. Motivated to contribute to projects by assisting senior engineers, gaining practical experience, and cultivating technical knowledge. Design Projects • Developed an autonomy protocol for simulated and physical quadrotors, incorporating advanced path-planning • Team leader in automated runway operations research project including sequencing, taxi routing, and configuration planning obeying FAA regulations • Prototyped unique firefighting aircraft balancing cost considerations for the 2022 AIAA aircraft design competition Lab/Project Experience • Conducted system Identification of exoskeleton robot using sensor data and neural networks to model motor torque • Implemented a MC Tree Search algorithm in Julia for an adversarial game between mining ships competing for resources from asteroids aligned with GTOC 12 2023 Programming • Estimated complex, nonlinear processes filtered through measurement data using Kalman Filters, MMFs, and Particle Filters • Built simulators for physics, GNSS, camera, and IMU, and developed PID controller for virtual quadrotor stabilization • Executed uncertainty quantification analysis on the stochastic viscous Burgers’ equation using least squares fitting and Markov Chain Monte Carlo methods in Matlab • Leveraged multivariate Polynomial Chaos Expansions to model stochastic processes and extract response statistics via cubature • Conducted sensitivity analysis using Sobol Indices to discern the impact of various random inputs on the response variables • Diagnosed and analyzed network issues on flights through machine data processing with RegEx and visualized findings using GeoPandas for effective reporting • Programming: Python, Matlab/Simulink, C++ • Estimation and Data Analysis: Kalman Filters, MC simulations, UQ • Optimization and Controls: Path planning, control algorithms, convex optimization, iLQR, PID, UAV control/digital twin simulation • AI: Neural Nets and Genetic Algorithms • Aerospace: Hypersonics, fluid dynamics, aerodynamics, aircraft design, propulsion Educational Testing Service – IT Intern Tampa, FL 05/2023 - 07/2023 SES Satellites – Aero Solutions Intern Princeton, NJ 05/2021 - 08/2021 University of Illinois – Dynamics Course Asst. Champaign, IL 08/2020 - 05/2022 University of Texas at Austin August 2023 – December 2024 Master of Science in Engineering Aerospace Engineering Controls, Autonomy, Robotics Focus University of Illinois Urbana-Champaign August 2019 - December 2022 Bachelor of Science with Honors Aerospace Engineering GPA: 3.6/4.00 Professional Summary Professional Skills Practical Skills Work History Education Certifications Stanford Machine Learning Specialization 4/7/2023 Sustainable Aviation edX Course 3/12/2023
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +7
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Masters
Doctorate
MBA
- English
Languages in which the lesson is available :
English
- I have been teaching since I was in high school - My Creative Lesson plan: Quick recap of the previous lesson. Short quiz or problem to assess understanding. Discuss real-world relevance Concept Explanation Guided Practice Independent Practice - Very deep knowledge about the subject - I teach high schooler and also undergrad.
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Rates
Rate
- R488
Package rates
- 5h: R2440
- 10h: R4880
online
- R488/h
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