Embedded Systems • IoT • DSP • STM32

Embedded Systems Postgraduate

Strong fundamentals in microcontrollers, real-time systems, DSP, and IoT. Hands-on experience with STM32 peripherals (ADC/DMA/Timers), edge AI deployment, and embedded debugging. Seeking embedded/firmware internship opportunities.

Quick Info

Email: llogesh2511@gmail.com

Phone: +91 93455 04583

LinkedIn: linkedin.com/in/logesh-l-7a46ab244a

Location: Tamil Nadu, India

Note: All project source code is available in my GitHub repositories.

About

I enjoy building complete embedded systems (sensor → acquisition → processing → output/visualization). Interested in firmware development, silicon/board validation, peripheral bring-up, and real-time processing.

Internship Offer

Intel — Silicon Validation Eng Graduate Intern (Offer)

Received an internship offer for the role Silicon Validation Eng Graduate Intern at Intel. Interested in validation workflows, test automation, debugging, and hardware–software integration.

Validation Debug Firmware Hardware bring-up

Technical Skills

Programming

C, C++, Embedded C, Python

MCUs & Interfaces

STM32, ESP32, Arduino (I2C/UART/SPI, DMA)

Tools

STM32CubeIDE, CMSIS-DSP, NanoEdge AI Studio, MATLAB, Proteus, EasyEDA, Siemens PLC

Projects (Click to Expand)

Real-Time Audio Sampling & FFT (STM32L476RG)
Timer-triggered ADC + DMA + CMSIS-DSP FFT, UART peak reporting.
DSP • ADC • DMA
  • Sampling: 8 kHz timer-triggered ADC sampling.
  • DMA: Continuous buffer fill; FFT starts on callback.
  • FFT: 1024-point FFT using CMSIS-DSP and magnitude spectrum.
  • Output: Peak frequency printed via UART.

Project Photo

Real-Time Audio Sampling & FFT project photo
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Project Video

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Motion Data Logger & Anomaly Detection (MPU6050 + NanoEdgeAI)
6-axis IMU data logging and on-device anomaly detection on STM32.
Edge AI • I2C
  • Sensor: MPU6050 over I2C.
  • Logging: UART output suitable for NanoEdge AI Studio.
  • ML: NanoEdge anomaly model integrated into firmware.

Project Photo

Motion Data Logger project photo
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Project Video

Replace assets/project-video.mp4 with your project video file.
Memory Management Simulator (C, 64 KB Heap)
Linked-list heap simulation, fragmentation analysis and compaction.
C • OS
  • 64 KB heap simulation using linked list segments.
  • Allocation with split/merge and fragmentation reporting.
  • Compaction support to reduce external fragmentation.

Project Photo

Memory Management Simulator project photo
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Project Video

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More Projects (From Resume)

V2V Communication Between ESP32 Vehicles (ESP-NOW)
Wireless communication + control logic using ESP-NOW.
ESP32 • Wireless
  • Developed ESP-NOW messaging between robotic vehicles.
  • Tested control messages and verified communication range.

Project Photo

Project photo
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Project Video

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Smart Coffee Vending Machine
Embedded automation + bring-up; published in a conference paper.
Embedded
  • Embedded automation workflow for vending control.
  • Manual soldering + hardware bring-up and testing.

Project Photo

Project photo
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Project Video

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Smart Health Monitoring & Tracking for Soldiers (LoRa + HC-12)
Long-range monitoring using LoRa and HC-12 modules.
IoT • LoRa
  • 3-node architecture (control/leader/soldier).
  • Communication using LoRa and HC-12.

Project Photo

Project photo
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Project Video

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E-Cattle Health & Fertility Monitoring (IoT + Custom PCB)
IoT node design with custom PCB; IEEE conference paper.
IoT • PCB
  • Sensor-based embedded nodes with custom PCB.
  • Data monitoring and alerting concept.

Project Photo

Project photo
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Project Video

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Coding Profiles & GitHub

GitHub (All Code)

github.com/logesh2511

All project repositories Source code

Education

M.Tech – Embedded Systems (2025–2027)

Amrita Vishwa Vidyapeetham, Bengaluru • CGPA: 9.18

B.E – Electrical and Electronics Engineering (2021–2025)

Dr. NGP Institute of Technology, Coimbatore • CGPA: 8.33

Schooling

HSC: 84.7% • SSLC: 78%

Experience

PLC Programmer (5 Months)

Control System, Coimbatore

PLC Automation Intern (1 Month)

Spectrum Control System, Coimbatore

Publications & Certifications

  • IEEE Conference Paper: E-Cattle Health Monitoring and Fertility Detector using IoT.
  • International Conference Paper: Smart Coffee Vending Machine using Embedded Technology.
  • NPTEL: Introduction to C Programming.
  • Udemy: Fundamentals of Embedded Systems.

Contact