- Working with engineering, business and operations teams to develop domain knowledge of processes, cost analysis and system structures, establishing the root cause and failure/corrective analysis.- Developing scalable physics based mathematical models to derive optimal solutions for existing and new reliability issues in the Semi Truck by performing fleet analytics- Advocating technical solutions to business stakeholders, engineering teams, as well as executive level decision makers- Performing evaluation checks to track the real time performance of devised solutions.- Improvising and identifying areas with potential for improvement thereby introducing new features via driver feedback to the existing design

-Spearheading seamless application deployment processes, ensuring efficient and reliable transitions for clients utilizing MathWorks solutions.- Working towards integrating MathWorks applications with cloud computing platforms, optimizing performance and scalability for diverse client needs.- Lead initiatives to leverage big data technologies in MathWorks applications, enhancing data processing capabilities and enabling clients to derive actionable insights.- Collaborating closely with cross-functional teams to design and implement robust application architectures, ensuring alignment with industry best practices.-Act as a key liaison between customers and development teams, gathering requirements and providing expert guidance on deploying MathWorks applications in varied environments.- Stay abreast of industry trends and emerging technologies in application deployment, cloud computing, and big data, contributing to the continuous improvement of MathWorks solutions.

Designing and implementation of Alternating current Magnetohydrodynamic generator - Designed impeller-based generator suitable for producing power available for Watt scale devices.- Simulated the design computationally using Finite Element Methods to show the 3 W power being produced.- Analyzed coupled Maxwell equations through time and space varying hypergeometric functions. - Developed a novel concept of harvesting mechanical energy to electrical energy using a mm-scale generator.- Analyzed the impact of rpm, the number of poles, current density, and magnetic field on power production.- Assembled benchtop power supply and motor to generate and record magnetic field using Hall sensor.

- Serving as a student panelist for the search and selection committee of the campus leaders.- Planning and organizing welcoming events for returning and new international students. - Creating awareness about in-person return policies for the campus community using social media.- Mentored new incoming international students from over 40 countries- Provided a supportive environment assuring constructive feedback - Helped set goals and introduced various health, academic and safety resources present on the campus- Coordinating with the university’s leadership team to draft the orientation and information sessions

- Received a Teaching Assistant rating of 5.00/5.00 multiple times in the course of 4 years.- Won Distinguished Teaching Assistant award in 2022-2023- Planned various experiments to introduce pressure, temperature, light, and control sensors.- Implemented data processing and acquisition using NI LabVIEW software.- Responsible for holding in-person lab sessions, to provide students with hands-on learning. - Offered operational and administrative support to the course instructor.- Independently supervised junior and senior students with diverse academic backgrounds- Supervised practical laboratory, and advised on skills, methods, and techniques related to electrical engineering.- Contributed to the development of appropriate teaching material meeting the course’s learning objectives.- Graded homeworks, assignments, projects for courses entitled problem solving in Finite Element Method, Discrete Mathematics, Mathematical Computing, Maxwell’s equation and software packages like ANSYS - Met strict deadlines to maintain uniformity across students belonging to different sections.

1. Battery design of Tesla Bot-Executed semi-empirical modeling to forecast battery life of Tesla Bot considering charging and discharging.-Partnered with the Mechanical Design team to optimize the robot’s thermal performance based on operation time, State of Charge (SoC), and Depth of Discharge (DoD) of the battery.2. Cell Lifetime forecasting-Matured statistical physics model for forecasting lifetime of vendor cells across multiple form factors of 1865/2170/4680 to be used in Tesla Model 3/Y.-Implemented least-square nonlinear algorithm for modeling modified Arrhenius loss equation to analyze energy decay and capacity loss of a cell.3. Statistical error-confidence in forecasting model & identification of failure point-Improved the working of pre-existing lifetime models by analyzing datasets with over million entries and introduced statistical errors-confidence intervals.-Designed a slope tracing algorithm to identify a sudden change in cell capacity4. Mechanical modeling and validation-Performed material card validations using commercial FEA software, such as ABAQUS and LS-DYNA-Developed ABAQUS post processing tool by scripting with MATLAB and Python enabling the study of cell mechanical simulation results5. Powerwall and Megapack reliability -Ensured 70% post-test capacity retention checks for vendor cells under High-Temperature Humidity Endurance (HTHE) and Powered Thermal Cycling Endurance (PTCE) conditions. -Forecasted Megapack lifetime based on extreme weather conditions ensuring selection of correct chemistry for the proposed class of vendor cells.6. Inhouse cell development-Built a framework to analyze the lifespan of Tesla’s high energy density inhouse cells to be used in Power Wall, Cyber Truck, and Semi.-Teamed with Tesla’s cell manufacturing facility at Kato, California to develop a control protocol for source cells for various State of Charge (SoC).

Worked with Aftertreatment Systems and Controls team - Analyzed field performance data and developed deep learning models with engine parameter inputs.- Investigated various Artificial Intelligence-based Neural Network models to predict turbine outlet temperature. - Implemented Nonlinear Autoregressive (NARX) and LSTM model to forecast the exhaust temperature in near future.- Developed internal flow pipe model to calibrate Aftertreatement inlet temperature from exhaust temperature.

"Standalone mesoscale generator converting thermal energy by burning Ethanol to useful forms of electrical energy"- Implemented Falkner - Skan flow to obtain the flow profile of the thermal generator - Created ANSYS thermal solution to study the temperature distribution and heat transfer coefficient

''Aerodynamics of badminton shuttlecock'' - Simulated flow past badminton shuttlecock to study the effects of gaps through ANSYS fluent - Developed relations for the coefficient of pressure and coefficient of drag through analytical approximation - Studied the variation of flow profile with respect to angle of attack

"Modes of operation of two-phase closed thermosyphon and the effect of fill in the ratio on overall performance by varying heat fluxes”