Akarsh Srivastava
Thermal Vehicle Controls Engineer at Tesla
Hi! I'm a Thermal Vehicle Controls Engineer at Tesla working on interesting thermal+controls+Data Science topics across various Tesla Fleets. I specialize in thermal systems, battery technology, and machine learning applications in automotive engineering.
Education
University of California, San Diego
M.S. in Mechanical Engineering (Fast-Track)
3.777/4.0 GPA
September 2023 – June 2025
BITS Pilani
B.E. in Mechanical Engineering (Early Graduation)
8.49/10 CGPA
August 2019 – December 2022
Experience
Tesla
Thermal Vehicle Controls Engineer
January 2025 – Present
Working on interesting thermal+controls+Data Science topics on various Tesla Fleets
- Developed camera facing windshield glass thermal model to address fogging
- Analyzed overnight test data to calibrate RC circuit parameters
- Ran biased optimization loop on 100+ hours data with 1°C accuracy
- Querying thermal vehicle data across fleets for analysis
Lennox International
Thermal System Modeling and Simulation Intern
September 2024 – December 2024
Advanced thermal system modeling and automation
- Automated test data acquisition for HVAC simulation in under 4 seconds
- Exploring Physics Informed Neural Networks (PINNs) for HVAC simulation
- Created utility pricing data extraction and analysis scripts
Cuberg
Battery Cell Quality and Reliability Engineering Intern
June 2024 – August 2024
Computer vision and automation for battery analysis
- Developed computer vision algorithms to compress (350x), denoise, and visualize CT scans
- Built tool integrating visualization with Looker dataframe for cell tracking
- Automated CT scan analysis for fault detection using denoising methods
Siemens Energy
Battery Cell Engineering Intern
February 2023 – July 2023
Electrochemical modeling and optimization
- Developed electrochemical model for lithium-ion battery degradation
- Utilized Nelder-Mead optimization for cell model fitting
- Achieved 98% and 97% R-squared for capacity and internal resistance
- Provided end-to-end synthetic data generator with ML extensions
National University of Singapore
Undergraduate Thesis
May 2022 – January 2023
Deep learning and dynamical systems research
- Implemented deep learning algorithms with filters and Empirical Mode Decomposition
- Extended work to real-world stock market, earthquake and COVID-19 datasets
JSW Energy Ltd
Summer Intern
May 2021 – July 2021
Machine learning for anomaly detection
- Employed supervised ML algorithms for predicting slot sensor temperatures
- Gradient-boosted tree regression achieved 98% R-squared value
Research
Thermal Analysis of Cooling Fins
Heat Transfer Coursework Project
Led a comprehensive transient analysis of electric motor fins, providing analytical solutions, validated with literature. Explored the impact of geometry, material, and dimensions on efficiency, heat flux, and time to steady state.
Solar Research: Predicting Longwave Radiation
Coimbra Research Group
Advanced research in radiative transfer and solar energy applications using shortwave radiation parameters as part of graduate studies at UC San Diego.