Mentored a number of startups in areas like blockchain, payment, transportation & credit analytics for Detroit Fintech Challenge 2019.

Reviewed 15 mobile apps at Technovation, the world’s largest technology entrepreneurship program for girls aged 10-18.

Part of Judging Panel which reviewed business pitches, and provided industry insights to students at Canadian Undergraduate Computer Science Conference (CUCSC) 2019.

Served as awards judge on 4 categories on prestigious AutoSens awards.

Led a team of 5 to teach deep learning to 60 Ford employees from non-AI groups.

- Co-President of the Tech Club at HBS 
- Alumni and Career Rep (Section A)

Advised several Windsor/Detroit based startups working in areas like blockchain, payment, transportation & credit analytics and helped them in their artificial intelligence strategy and business plan developments.

---> Developed and communicated product strategy, vision and roadmap as well as performed financial modeling for Ford’s autonomous vehicles program.
---> Formulated Ford’s AV pickup-dropoff (PUDO) strategy, laid out a multi year plan for the key markets, and prepared financial projections.
---> Led development of geo-zones informed by growths and partnerships to optimize AV fleet operations.
---> Coordinated business case investigations for Cellular V2X capabilities to address connected vehicle requirements in context of autonomous vehicles.
---> Authored new interviewing and onboarding protocol as member of branding, recruiting & culture change initiatives.
---> Winner in the “Rising Star – Under 30” category at the TU Automotive Annual Awards 2020.

Performed controllability and safety analysis, designed and verified system requirements for six driver assistance technology features in Electric Powered Steering module with total revenue of $2.4m.

Technical Marketing @ Untether AI | Harvard MBA | Specializes in Strategy, Fund-raising, Product Management & Marketing

Gaurav Singh | Peerlist Profile

•       Verify the performance of the mathematical hierarchical model developed in the driver modelling project on a real time data set.
•	Perform model testing and clustering on UMTRI safety pilot data to classify drivers based on the patt

Constructing User Specific Probabilistic Models of Driver Input via Maneuver Recognition

•	Developed a mathematical hierarchical model based on Markov chains to predict the set of inputs a driver is capable of at any instant.
•	informativeness of the prediction and the utility of the intervention are employed as performance cri

Semi-Autonomous Vehicle Control using Driver Modeling

•	Analyzed feasibility of MPC design for nonlinear diesel engine air-path control model by measuring execution time.
•	Implemented techniques such as parallel for loop computation to minimize the run-time in MATLAB environment.

Nonlinear Model Predictive Control for Diesel Engine Air-path Control

•	Although, the cause behind SIDS are largely unknown, making infant sleep on back has been found to be highly effective. 
•	A small wireless device, on arduino platform, based on orientation sensing using an accelerometer is made to facili

Infant Sleep Monitoring System so as to prevent Sudden Infant Death Syndrome (SIDS)

•	Reviewed popular input reconstruction methods and applied in real time. 
•	Presented an innovative method based on time reversal to solve reconstruction problems for non-minimum phase systems.
•	System Identification, Filtering and detect

Input Reconstruction via System Inversion

•	Based on the hypothesis that Parkinson’s tremor exhibits limit-cycle behavior, a mathematical model of the disease is created and analyzed for the features of limit cycle to come up with a diagnostic tool to estimate severity of the disea