Automotive / Medical Cybersecurity Researcher, Penetration tester, Red Team leader, Builder of Vehicle PEN test labs,

• Performed Vulnerability Assessment Penetration testing (VAPT) Cybersecurity for multiple OEM’s vehicles includes 4-Wheelers / 2Wheeler EV vehicles / scooters• System Architect for Telematics and AIS140 ECUs for automotive manufacturer OEM and Tier1's• Defining security concept for the Telematics ECUs. Following ISO21434 and WP29 regulations• Design and Development of Secure Boot using SHA256, ECDSA, Flash Bootloader over UDS• Identified threats and risks in system components by performing TARA, threat modeling. Suggested security controls and countermeasures to mitigate identified threats and risks• Ethical hacking and execute Penetration testing for OEM vehicles and Tier1 ECU’s

• Design and Developed In-Vehicle CAN Network Protection Solution (IDPS) powered by Machine learning and Statistics Algorithms.• IDPS is an advanced Cybersecurity software (SW) solution, monitoring the controlled area network (CAN) bus and detecting anomalies in the communication patterns of electronic control units (ECUs). • Key Features of Cybersecurity Algorithm are: Anomaly Detection, Attack Mitigation, Data Logging of events, Multiplatform solution• Performed Vulnerability Assessment Penetration testing (VAPT) Cybersecurity for multiple OEM’s vehicles includes 4-Wheelers / 2Wheeler EV vehicles / scooters• System Architect for Telematics and AIS140 ECU's for automotive manufacturer OEM and Tier1's

Successfully completed "Self-Driving Car" Nanodegree from Udacity.The course contains different advance topics: Perception block( Machine Learning,Deep Learning(i.e. CNN,Semantic Segmentation),Kalman Filter(EKF,UKF), Control Block: MPC,Path Planning,Projects worked under this nanodegree:Term -1: - Traffic sign recognition (Used Vgg-16 and 19 to train for traffic sign) - Behavior Cloning (Developed CNN model to train the Car) - Advance Lane finding(Used advance ML techniques to detect (Sobel operator, HSV,LAB multiple color scheme, SVM) - Vehicle Tracking and detectionTerm -2: - EKF,UKF,PID controller,Model Predictive ControlTerm-3: - Semantic Segmentation (Detecting free space on road) - Path Planning - System Integration project where complete pipeline is developed with ROS framework.Detected Traffic light (used F-RCNN model for traffic light),PID tunning, DBW node Github link:https://github.com/SanyamAgarwalRobotics

Lead a team on Vision based Active safety systems - Lane departure Warning, Lane Keep Assist.

Deputed at Client side @Medtronic IndiaBoot loader development for TI controller TM4C129x. Startup files, DiagnosticsBoard bring-up the LCD, External EEPROM, External FLASH, SPI, I2C for Tiva C series TM4c129x.Cybersecurity PEN testing for the product dialysis machine

Worked on Board bring-up activity, Written drivers like UART,CAN,Flash memory, SPI for Vybrid (VF6x series).Interface customize drivers with freescale MQX RTOS

Worked on camera based Driver Assistance System. Major Responsibilities:Responsible for Design, Implementation and testing of various DSP algorithms viz Image Segmentation, Object Classifier modules on TI-DSP[DM6437] platformsLow level driver development(CAN, DMA).Responsible for optimizing DSP algorithm like Night Vision SYstems [HeadLight\TailLight detection]

Software Development, Design and Testing Automotive Features. Worked on development of BCM features. CAN protocol.