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Rajeshkanna M

Rajeshkanna M

Aspiring Electronics Engineer with expertise in VLSI Design and Embedded Systems

Talent
CoimbatoreMember since May 25, 2026
SystemVerilogPythonArduinoEDA PlaygroundTroubleshootingMachine Learning (ML)Deep Learning (DL)Computer Vision (OpenCV)Robotic Process Automation (RPA)UiPathKiCadAltium Designer
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SystemVerilogPythonArduinoEDA PlaygroundTroubleshooting

About

Aspiring Electronics Engineer with a strong foundation in VLSI Design and Embedded Systems. Seeking to leverage expertise in RTL Design, Verilog/SystemVerilog, and PCB development to contribute to cutting-edge semiconductor and hardware innovation.

Experience

VLSI Design & Verification Intern at Taras Systems and Solutions (2026-01 – 2026-05)

  • Designing and simulating digital logic modules (AND, OR, NOT) using Verilog and SystemVerilog
  • Developing functional testbenches to verify hardware designs and analyzing RTL Schematics via EDA Playground
  • Mastering bitwise, logical, and relational operators for specialized semiconductor design verification

Embedded Systems & Hardware Intern at MAK Controls and Systems (2025-12 – 2026-05)

EV Infrastructure & Power Electronics:

  • Assembled and performed high-voltage troubleshooting for a 120kW Dual-Gun DC Fast Charger with an 800V–1000V DC output range
  • Analyzed charging logic for dual-vehicle simultaneous charging and gained hands-on experience with high-power electrical safety protocols
  • Assisted in the testing of Regulated cum Emergency Battery Chargers (REBC) for rail coach applications, focusing on 110V DC regulation from 3-phase AC inputs

AI & Robotics Systems Intern at Code Galatta (Cogtis Technologies) (2024-03 – 2024-08)

Completed a comprehensive 6-month internship focusing on the deployment of intelligent algorithms for hardware and software systems.

  • Machine Learning (ML) & Deep Learning (DL): Implemented predictive models and neural network architectures for complex data analysis
  • Computer Vision (OpenCV): Developed real-time image processing solutions, specifically for gesture-based control interfaces
  • Robotic Process Automation (RPA): Utilized UiPath to design and automate repetitive industrial and administrative workflows

Education

Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering – Kangeyam Institute of Technology (2026)

Higher Secondary Certificate (HSC) – Government Higher Secondary School, Koduvai (2022)

Secondary School Certificate (SSLC) – Government Higher Secondary School, Koduvai (2020)

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