Abhishek Roy Email & Phone Number

Cupertino, California, Us

Developing embedded software to support charging systems (USB-C, Lightning, MagSafe), battery management, power policy engines (Power-in and Power-out) for products like iPhone, iPad, MacBook, iMac, Mac Pro, Mac Studio, Mac Studio Display, Vision Pro, homepod and associated accessories.

Dublin, Ie

1. Developed embedded firmware for custom ASICs (ARM cortex M0 core)2. Designed hardware-software subsystems for bring-up of the first silicon, performed calibration and trimming of the first silicon3. Designed low level drivers of all ASIC peripherals, identified bugs and limitations, developed software work-arounds to resolve HW limitations.4. Designed and implemented intelligent closed loop thermal management strategies to limit the USB hub board temperature and input currents5. Designed a Raspberry-Pi based automated testing suite connecting lab equipment (power supplies, loads and scopes to USB Hubs) over the SCIPI interface for intelligent testing capable of logging failures with adequate debugging data6. Developed software to support USB 2.0, BCS 1.2 (Battery charging specification), USB-C7. Developed middleware and application software to interface with hardware systems (SIM, SD, LCD, RGB LEDs) and a range of external sensing modules

Columbus, Ohio, Us

1. Responsible for the design and development of a data acquisition system deployed on the runway lighting system of the OSU airport2. Designed the hardware subsystems (circuit design, schematic capture, PCB prototyping) of a smart thermocouple sensor module with inbuilt signal conditioning, microcontroller for digital interface and RS485 based serial communication interface of sensor data3. Designed a network for multiple smart thermocouple modules to communicate over a single channel4. Developed firmware in embedded C for the master controller to acquire data from the network of smart sensor nodes, log errors and transmit logged data periodically to a PC

Austin, Texas, Us

1. Developed tools and resources for the measurement and controls team to validate Tesla Model-3 battery electronics and battery management systems (BMS) 2. Developed embedded firmware in python and assisted in board bring-up and debug for Tesla Model-3 BMS ICs.3. Designed a high voltage BMS hardware simulator for functional testing of control firmware and estimation algorithms4. Competitive analysis of different battery management architectures for stationary storage systems.5. Worked on electronic circuit design, schematic capture and PCB layouts for Model-3 validation testing subsystems 6. Developed test specifications for characterization of cells and their associated BMS hardware subsystems

Columbus, Ohio, Us

1. Responsible for the design of a navigation suite comprising of position estimation, path planning and trajectory control algorithm for an autonomous land rover platform2. Developed Matlab simulations of the position estimation, path planning and trajectory control3. Implemented the navigation algorithms developed on a Raspberry Pi in embedded python for the land rover platform4. Interfaced sensors with I2C and PWM output with the Raspberry Pi platform, developed necessary signal conditioning circuits, driver and application software

Columbus, Ohio, Us

1. Responsible for the design of an embedded platform for an autonomous land rover for surveillance and mapping of an unknown environment.2. Developed low level firmware in python on a Raspberry Pi platform for speed control and direction control of electric motors of the land rover.3. Interfaced shaft encoders with the motor for closed loop feedback of motor shaft position4. Interfaced proximity sensors using IR and ultrasonic with an 8-bit microcontroller platform in embedded C to implement obstacle avoidance.

Bangalore, Karnataka, In

1. Developed embedded firmware for high voltage measurement, contactor control and system control modules (AUTOSAR)2. Interfaced I2C and SPI based cell monitoring units for Lithium ion batteries to a 32-bit tri-core processor (RTOS environment)3. Developed low level device drivers in C for communication protocols like CAN, I2C, SPI, UART, LIN4. Designed a 48V BMS platform for electric scooters and designed a vibration stabilization system for smooth BLDC motor operation5. Designed a fault-tolerant algorithm to estimate engine speed using coolant temperature (ECT) in case of failure of engine speed sensor and implemented it in a bare-metal environment for a 16-bit processor6. Worked on software development and support for multipoint fuel injection (MPFI) and diesel direct injection (DDIs) projects7. Proposed artificial intelligence based software solutions to account for non-linear ageing of fuel injectors8. Assisted in the design failure mode effect analysis (DFMEA) for system hardware and proposed mitigation strategies9. Conceptualized algorithms to improve state of charge estimation accuracy using artificial intelligence and internet of things (IoTS)10. Coordinated with multi-disciplinary teams and prototyped an autonomous robotic platform to emulate functionalities of an electric vehicle for proof of concept and preliminary testing of new battery management architectures11. Developed CAPL scripts for Vector CAN tool (CANOE) to monitor specific CAN frames, diagnostics and error codes of BMS ECU12. Responsible for documentation of user specification documents for UDS service routines for flashing engine management ECUs13. Completed High Voltage Equipment handling training from TUV-Rheinland.14. Top 15% of engineer trainees in the Bosch embedded systems training program for diesel-gasoline systems projects

Master Of Science (M.S.), Electrical And Computer Engineering

Bachelor Of Technology (B.Tech.), Electronics And Instrumentation