Pavai.
Available for HiWi · Working Student · Internship

Pavai Vendhan
Ganesan

Master's student in Electrical Engineering and Information Technology at Deggendorf Institute of Technology, specializing in Electronics and Telecommunication.

  • Embedded systems & custom PCB design
  • Physical-layer network testing & industrial security (Modbus/TCP)
  • Laboratory characterization (SEM & AFM)

Backed by a peer-reviewed IEEE publication, I'm actively seeking an internship or working-student position to apply my hardware and communication skills in an industrial environment.

Download CV View projects Get in touchLinkedIn

Pavai_Vendhan_CV.pdf · Updated 20 September 2026 · English C1 · German B1 (learning)

Location
Deggendorf, DE
Focus
Embedded · IoT
Languages
EN C1 · DE B1 (learning)
Portrait of Pavai Vendhan Ganesan
01 / About

Embedded Systems Engineering Student.

Alongside my Master's studies, I bring a B.E. in Electronics & Communication Engineering from Saveetha Engineering College (GPA 1.9), with coursework built around embedded systems, microprocessors, VLSI design, and wireless sensor networks.

Day-to-day, I enjoy bridging hardware and software — wiring up sensors, writing the firmware to read them, and pushing the data somewhere useful. I'm currently deepening embedded software fundamentals through Prof. Vielberth's coursework and exploring how embedded/IoT systems intersect with cybersecurity, particularly SOC environments and cyber-range training.

02 / Education

Academic background.

  1. Mar 2025 — Present

    M.Sc. Electrical Engineering and Information Technology

    Deggendorf Institute of Technology, Germany

    Specialization: Electronics and Telecommunication (ENS). Modules: Selected Topics of Embedded Software Development, Advanced Programming, Micro- & Nanoelectronics, Signals & Systems, Modern RF and Radio Systems.

  2. Aug 2024 — Feb 2025

    German Language Course (A1–B1)

    Goethe-Institut Chennai, India

    German language training at the Goethe-Institut, currently at B1 level.

  3. Aug 2019 — Aug 2023

    B.E. Electronics and Communication Engineering

    Saveetha Engineering College, India

    GPA 1.9. Modules: Embedded Systems, Microprocessors & Microcontrollers, VLSI Design, Wireless Sensor Networks, MEMS & NEMS. Thesis: Driver Drowsiness & Alcohol Detection with IoT.

03 / Experience

Industry experience.

  1. Oct 2023 — Jul 2024

    Network Hardware & Test Engineer Intern

    Thamizhaga Cable TV Communication Ltd. – Ranipet Division (TIC Fiber)
    Ranipet, India
    • Managed the physical layer infrastructure for a regional broadband and digital television network, conducting continuous signal attenuation testing and hardware fault debugging across optical fiber and coaxial distribution nodes.
    • Validated, configured, and deployed Optical Network Terminals (ONTs) and Digital Set-Top Boxes, ensuring firmware stability, proper MAC/PHY layer initialization, and robust Ethernet and RF connectivity prior to network integration.
  2. Apr 2023 — Sep 2023

    Blockchain & Web3 Research Intern

    Kairaa Tech Serve
    Chennai, India
    • Researched Web3 protocols, dApps, and smart contract architecture to support technical strategy.
    • Analyzed industry trends and blockchain consensus mechanisms for the development team.
    • Delivered a foundational research report on layer-2 scaling solutions that shaped the product roadmap.
04 / Skills

Tools, protocols, and instruments I've worked with.

Embedded & IoT
  • Arduino (AVR)
  • Embedded C / C++
  • Sensor Integration (IR · MQ-3 · NEO-6M GPS)
  • IoT Prototyping
  • Edge / Cloud Telemetry
  • Vehicle Safety Systems
Programming
  • Embedded C
  • C++
  • Python
  • MATLAB
Protocols & Security
  • Modbus/TCP
  • TCP/IP
  • UART
  • Wi-Fi (IoT)
  • SSH Tunneling
  • AES
  • HMAC
  • Wireshark (DPI)
Hardware & PCB
  • KiCad
  • Schematic Capture
  • 2-Layer PCB Layout
  • DFM
  • Analog Front-End
  • EMF Sensing
  • Darlington Arrays
Tools & Environments
  • Linux CLI
  • Git
  • Benchmarking / Profiling
  • Cloud Dashboards
05 / Projects

Selected work — presented as short case studies.

Embedded Software · ICS Security

Secure Industrial IoT Bridge (Modbus/TCP over SSH)

Problem

Retrofit legacy Industrial Control Systems: encapsulate plaintext Modbus/TCP SCADA traffic in an AES-encrypted SSH tunnel on an edge gateway — without breaking hard real-time latency budgets.

What I did

  • Designed a secure protocol bridge that wraps plaintext Modbus/TCP SCADA traffic in an AES-encrypted SSH tunnel for deployment on edge gateways.
  • Built an industrial simulation testbed in Python generating dynamic read/write operations (sensors and actuators) and validated HMAC data integrity via Wireshark deep packet inspection.
  • Engineered an automated benchmarking suite firing 1,000 unthrottled TCP requests to profile embedded constraints and confirm the crypto layer met hard real-time latency targets.
  • Measured a negligible 0.33 ms latency overhead from the cryptographic wrapper while cutting global CPU utilisation from 39.7% to 14.3% via efficient OS-level TCP stack management.
PythonModbus/TCPSSHAESHMACWiresharkEdge Gateway
Hardware Project

High-Sensitivity Non-Contact Circuit Tester

Problem

Localize open circuits in live wiring without stripping insulation, using electromagnetic induction — with enough sensitivity to reliably separate live from dead zones at mains frequencies.

What I did

  • Developed a portable, non-contact electrical fault finder that senses stray EMF from live conductors and pinpoints breaks without physical contact.
  • Engineered the analog front-end as a 3-stage cascaded NPN Darlington array, amplifying nano-ampere antenna currents by ~1,000,000×.
  • Calibrated sensitivity to cleanly discriminate live vs. dead zones at 50/60 Hz mains, driving an instantaneous 3 V audible and visual alarm on fault detection.
Analog ElectronicsDarlington ArrayEMF Sensing50/60 Hz
PCB Design

Custom PCB Design & Prototyping (KiCad)

Problem

Take the non-contact tester from a fragile breadboard prototype to a compact, manufacturable, battery-powered handheld board.

What I did

  • Led schematic capture, footprint assignment, and full board layout in KiCad for the diagnostic hardware tool.
  • Designed a compact, ergonomically shaped 120 × 20 mm 2-layer board with a custom top-layer spiral trace antenna, deliberately restricting ground-plane shielding to maximize EMF pickup.
  • Transitioned from breadboard to a fully manufacturable PCB following standard DFM guidelines for through-hole (THT) components and battery-powered operation.
KiCadSchematic Capture2-Layer PCBDFMTHT
B.E. Thesis · IoT Vehicle Safety

IoT-Based Driver Drowsiness & Alcohol Detection System

Problem

Accidents from fatigue and drunk driving need more than a warning light: an embedded system that detects both conditions in real time and keeps the vehicle's live position reportable to the cloud.

What I did

  • Designed an automated vehicle safety system using an Arduino microcontroller and a 780–1400 nm infrared sensor to track eye-blink frequencies, successfully detecting driver fatigue in under 1 second.
  • Built an intoxication prevention system using a 5 V MQ-3 sensor with a 20-second preheat time, cutting vehicle power and alerting on elevated ppm levels.
  • Interfaced an IoT Wi-Fi module and a NEO-6M GPS — featuring a 5 Hz position update rate and −162 dBm tracking sensitivity — to continuously broadcast the vehicle's live coordinates to a cloud dashboard.
ArduinoIR Sensing (780–1400 nm)MQ-3NEO-6M GPSWi-Fi (IoT)Cloud Dashboard
06 / Research

Lab exposure — SEM & AFM material characterization.

DIT — IQMA Lab

Nanoscale imaging and surface analysis

Operated the Zeiss Ultra 55 Scanning Electron Microscope and the DI Dimension 3100 Atomic Force Microscope for nanoscale imaging and surface analysis. Performed 3D visualization and section analysis to quantify feature dimensions and RMS roughness.

Zeiss Ultra 55 SEMDI Dimension 3100 AFMSection AnalysisRMS Roughness
07 / Publication

Peer-reviewed contribution.

IEEE ICECONF 2023 · Chennai, India

Drowsiness Detection in Drivers Using Facial Analysis and Computer Vision — AI and Knowledge Discovery in Concurrent Engineering

D. Samiappan, P. V. Ganesan, R. Subramanian, Y. Rajasekar. Pages 1–10.

08 / Certifications

Continuing education.

  • Internshala Trainings
    Embedded Systems with AI
    Sep 2026
  • MathWorks
    Build MATLAB Proficiency
  • MathWorks
    Programming in MATLAB
  • Nasscom
    Python Excellence
  • NPTEL
    Computer Networks and Internet Protocol
  • Cisco Networking Academy
    Introduction to Cybersecurity

Leadership: Yi Yuva Entrepreneurship Chairperson, Saveetha Engineering College (2022–2023) · Umagine Chennai 2023 Organiser.

09 / Contact

Let's talk.

I'm open to HiWi positions, working-student roles, internships, and entry-level opportunities in embedded systems, IoT, and electronics across Germany. The fastest ways to reach me are email and LinkedIn.