Amal M Ashok - EV & Battery Systems Engineer

About Me

Visionary engineer with over three years of pioneering experience in EV and battery systems, igniting innovation through test planning, cutting-edge hardware design, and predictive modeling that push the boundaries of what’s possible. A master of electrochemical and ultrasonic testing, I’ve transformed the landscape by fabricating and optimizing sodium-ion pouch cells, unlocking new potential across diverse voltage and temperature ranges.

Harnessing the power of Python, I’ve revolutionized automation with Selenium and engineered breakthroughs using Raspberry Pi Pico for BMS cell emulation, slashing manual testing time by 50% and accelerating progress. Fueled by an unyielding passion for sustainable energy, I bring proven expertise in CAN protocols, UL2594 certification, and OCPP-integrated EV charging systems, driving the charge toward a greener future.

My mission is to inspire a revolution in battery reliability and performance, blending technical brilliance with collaborative problem-solving to craft efficient, sustainable energy solutions that light the way for generations to come.

Work Experience

Jan 2025 - Present

Research Assistant

Drexel Battery Lab

Designed ultrasound-based PID controllers for battery charge/discharge cycles
Developed ML models for battery SOC estimation using I2C and CAN SQL data
Conducted thermal cycling tests analyzing temperature impacts on SOC accuracy
Fabricated 200-220 mAh sodium-ion pouch cells for electrochemical testing

Jun 2024 - Jan 2025

Robotics Hardware Test Intern

Ev Bots Inc

Developed control strategies for UR3e robotic arms and EV charger handling
Created OCPP 1.6-compliant Charge Management System in Python
Contributed to UL2594 certification for EV charging equipment
Engineered ArUco marker-based pose estimation for autonomous navigation
Designed custom hardware for EV charging infrastructure using Fusion 360

Jun 2024 - Oct 2024

Electrical Engineer

Raptor Engineering Company

Developed firmware for ESC control using Embedded C on Arduino
Implemented LoRa-based RF communication and GPS systems
Designed power management circuits for STM32-based systems
Created metal detector for robot land mine detection

Jul 2022 - Sep 2023

Automation Test Engineer

Exponent Energy Pvt Ltd

Planned and executed test protocols for EV battery packs and charging stations
Designed PCBs in KiCAD for CAN message loggers and energy meters
Developed cell emulator using Raspberry Pi Pico for BMS testing
Conducted FMEA and DFMEA on EV charging stations using MATLAB

Skills

EV-Relevant Expertise

Vehicle CAN protocol Battery management systems Autonomous driving infrastructure High-voltage safety protocols Thermal management HIL Testing Test Automation

Hardware Design

Circuit board design (KiCAD) PCB troubleshooting EMC/EMI mitigation Vehicle harness design Test Fixture Design Fusion360 CAD Software

Embedded Systems

Arduino Raspberry Pi STM32 Jetson AGX Orin ESP32 ROS Modbus I2C SPI TCP/IP OCPP

Programming

C C++ Python Embedded C MATLAB Selenium Simulink Linux Git SQL

Testing Tools

Oscilloscope Keysight Data Logger Neware Network Analyzers Function Generators CANalyzer PCAN

Certifications & Standards

UL2594 IEC/EN 61000 ISO 26262 IPX6

Projects

OCPP Charge Management System

Developed an OCPP 1.6-compliant system in Python with Docker containerization and Google Cloud integration for EV charging infrastructure.

Python OCPP Docker Google Cloud

Autonomous EV Charger Navigation

Engineered ArUco marker-based pose estimation with Intel RealSense D435i and LiDAR for real-time obstacle avoidance in EV charging robots.

ROS Computer Vision LiDAR Python

STM32F405 Home Automation

Designed a circuit with USB Type-C, BLE, Wi-Fi and UART for comprehensive home automation control and connectivity.

STM32 KiCad BLE Embedded C

Self-Charging Electric Bike

Designed and developed an electric bike with innovative Battery Constellation Technology for extended range and efficiency.

Battery Systems EV Design Power Management CAD

Disease Prediction Robot

Created an automated diagnostic assistant using Python CNN and Raspberry Pi to aid doctors in preliminary disease assessment.

Python CNN Raspberry Pi ML

Smart Fire Detection System

Arduino-based automated system for vehicles that detects and extinguishes fires, enhancing safety in automotive applications.

Arduino Sensors Automation Safety Systems

Education

Sep 2024 - May 2025

Master of Science, Robotics and Autonomy

Drexel University

Finalist, Drexel Startup Award

Jan 2018 - Aug 2022

Bachelor of Technology, Mechatronics

Malabar College of Engineering

College Rank Holder