Harishkumaar

Electrical Engineer — Graduation Thesis (Internship)

• Graduation Thesis — System-Level Design of Fast-Charging Interfaces for Low-Voltage Battery Systems Designed modular power-electronic architectures to enable fast charging of low-voltage (<60V) battery systems using high-power DC infrastructure (up to 100 kW, 200–1000 V) under grid constraints. Focused on system-level design and optimisation, limiting thermal and electrical stress, and ensuring safe operation (Class A).
• High Voltage Battery Pack (400 – 800 V) Contributed to 800V battery pack prototyping using NXP platforms. Implemented Class-A safety mechanisms and performed system-level testing and validation for New Advantage.li.

Hardware Design Engineer (Part-Time)

Hardware Design Consultant and Engineer — Moonrider.ai (Electric Tractor Tech)

• System Architecture Defined system architecture for battery management systems (96V and 400V platforms and CAN – BLE diagnostic tool).
• Design Quality Led design reviews of schematics and PCB layouts, ensuring design quality, manufacturability (DFM and DFA), and reliability.
• Verification Conducted design verification and technical reviews, ensuring compliance with project requirements.

Hardware Design Engineer — Hydramo (Water-Tech)

• Schematics and PCB Designed and validated schematics and PCB for buoyancy-based water level sensing system.
• Ultra-Low-Power Architecture Architected ultra-low-power embedded system with separated low-power and high-power domains.
• Integration Integrated energy harvesting block, NTN communication, and sub-GHz radio modules.
• Interfaces Implemented BLE and NFC interfaces for local communication and provisioning.
• System Optimisation Optimized system for low-power operation, remote deployment, and reliable data acquisition.

External Consultant – Hardware Development

Sept 2024 – Present

• Electric Two-Wheeler — 900W Off / On-Board Charger System architecture, power calculations, hardware design (In progress)

Engineer – Hardware Development

Oct 2023 – Aug 2024

• E-Bike — Smart Motor Controller Unit (250W) Complete powertrain architecture, BLE integration, hardware design, component engineering, vendor management
• Compliance Testing AIS-004 Part-3
• E-Bike — Connected Display LTE with 2G fallback, GNSS for trip data, tracking and SOS, coloured TFT (non-intelligent, touch)
• Electric Two-Wheeler — 48V Battery Management System Architecture and hardware design, NXP-based AFE & MCU, pre-charge calculations, EMI/EMC-compliant PCB layout
• Instrument Cluster (BCM + TCU) Android-based TCU with MIPI display (Quectel), BCM with OV/UV and reverse-polarity protection
• Intelligent BMS — 36V / 48V (E-Bike) TI-based AFE with NXP MCU, compatible with NMC & LFP chemistries

Robotics Hardware Engineer & Product Manager

• HoloSuit — B2B Led hardware & system design for full-body motion-capture suit for VR/XR, including electronics, harness architecture, and cross-functional coordination
• Cleaning Robot (Client) — B2B Wiring harness and sensor integration for ATEX-rated environments
• Build Your Own Robot (BYOR) — B2C Designed BMS for consumer product shipped to 1000+ customers
• 4-Wheeled Research Robot Hardware design for omni-directional autonomous robot, battery calculations and wiring harness design
• Exo-Skeleton Motor selection, power calculations, control electronics integration, medical rehabilitation wiring harness execution

Assistant Manager — Paint Shop

• Paint Shop Automation Developed in-house auto colour changer achieving 8% solvent reduction, worked with FANUC/DURR robots, PLCs (Allen-Bradley), FactoryTalk HMI
• Robotics & Controls Ethernet TCP/IP, RS232, RS485, ControlNet, DH+, fail-safe poka-yoke mechanisms

Graduate Engineer Trainee — Press Shop

• Press Line Quality Systems OpenCV-based defect detection, automatic cushion-pin detection using PLC and low-cost vision setup

Electrical Subsystem Lead

• BAJA SAE Arizona 2020 Led electrical subsystem, data-driven design achieving 35% weight reduction and 25% part reduction
• Testing & Validation NI cDAQ, Arduino, dynamometer testing, MATLAB simulations
• Competition Performance 21st overall, 8th in cost event among 100+ international teams

Patent Application (India)

Application No: 202421028849

• Title A system and method for automatic switching between pedal assist modes in an electric vehicle
• Status Published (Section 11A) · Awaiting Examination
• Technology Intelligent PAS (Pedal Assist System) with automatic mode switching based on riding conditions and user behavior

Research Publication

International Journal of Engineering Research & Technology

• Journal Details Volume 12, Issue 9. ID: IJERTV12IS090109
• Research Focus Brain-Computer Interface (BCI) approach for developing a mind-controlled wheelchair to assist ALS patients