About Projects Experience GitHub Contact
Electronics & Computer Engineer — Kottayam, Kerala

I make
hardware
think.

RTL in Verilog. Firmware in C. IoT networks on silicon. Most engineers pick a layer — I build across all of them.

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Abhijith Santhosh
Abhijith Santhosh
Full-Stack Hardware Engineer · 3rd Year ECE
7+
Projects Shipped
6
Credentials
3rd
Year B.Tech
Open
To Internships
Full-Stack Hardware
Sensor Integration
MQTT & IoT Protocols
FPGA & Verilog HDL
CUDA Programming
Real-Time Systems
About

I don't pick a layer — I engineer across all of them. Gate-level RTL in Verilog for FPGA synthesis. Bare-metal firmware in C for microcontrollers and sensors. End-to-end IoT architectures connecting ESP32 nodes to cloud dashboards over MQTT.

Currently pushing deeper into FPGA processor design and CUDA GPU programming — moving toward hardware-accelerated AI inference at the edge.

Core Strength
Full-Stack Hardware Engineering
Expanding Into
FPGA Design & CUDA
Degree
B.Tech ECE, Saintgits
Status
Open to Internships
Currently Exploring
FPGA Design
CUDA Programming
TinyML
RTOS
Edge AI

"The best engineers I know don't stop at the API — they go all the way down to the transistor if they have to."

— How I approach every problem
Technical Stack
Languages
CProficient
PythonAdvanced
Verilog HDLProficient
CUDALearning
MATLABFamiliar
Hardware & Embedded
ESP32 / ESP8266Advanced
Raspberry PiAdvanced
ArduinoAdvanced
FPGA / QuartusProficient
MQTT & IoTProficient
Protocols & Tools
I2C / SPI / UARTProficient
LinuxProficient
Git / GitHubProficient
ModelSimFamiliar
NumPy / PandasFamiliar
Selected Work
01
Mini Project Raspberry Pi 4 OpenCV Tesseract OCR Flask ESP8266
Vision-Based Smart Parking System
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Fully automated parking system deployed on Raspberry Pi 4 with Pi Camera V2. OpenCV detects number plates using edge detection and contour filtering, while Tesseract OCR extracts and validates Indian plate numbers. ESP8266 reads ultrasonic sensor data and confirms vehicle presence, sending signals to Raspberry Pi via UART for slot validation and updates.
Why it matters: Demonstrates a complete real-time system — computer vision + embedded communication + web dashboard — all integrated into one working pipeline.
Vision Parking System
Computer Vision · Embedded · IoT · Web View on GitHub →
02
Raspberry Pi ESP32 MQTT Adafruit IO
Edge-IoT Smart Energy Management System
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A distributed energy monitoring network built on Raspberry Pi and ESP32 nodes communicating over MQTT. Live sensor data streams to an Adafruit IO dashboard, with configurable threshold alerts for remote appliance control.
Why it matters: Demonstrates end-to-end IoT architecture — firmware on the microcontroller, broker middleware, and cloud visualization — all working in real time.
Edge IoT
IoT · Embedded · Cloud View on GitHub →
03
AI / Computer Vision YOLO11s PyTorch Python Gradio
AI-Based Helmet Detection System
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Real-time motorcycle helmet detection using YOLO11s trained on 3,735 annotated images. Classifies riders as With Helmet or Without Helmet at 5.2ms per frame — achieving 86.9% mAP@50 (92.2% on helmeted riders) after 50 epochs on an RTX 4050. Includes a Gradio drag-and-drop UI for live inference.
Why it matters: End-to-end deep learning pipeline — dataset curation, transfer learning from COCO weights, FP16 training, and a deployable inference UI — built for a real road-safety enforcement use case.
Helmet Detection System
Computer Vision · Deep Learning · Real-Time Inference View on GitHub →
04
Embedded ArduPilot MAVLink Flight Control
Autonomous Drone System — Flight Controller & Firmware
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Hands-on flight controller setup using ArduPilot with real-time telemetry analysis. Flashed ArduPilot firmware on Matek H743 and established communication with Mission Planner for initial setup and testing. Analyzed sensor data and flight parameters by varying orientation and altitude, observing real-time changes in Mission Planner telemetry.
Why it matters: Demonstrates practical understanding of flight controllers, sensor feedback, and real-time embedded system behavior in autonomous systems.
🚁

Drone System

Embedded Systems · Drone · Ongoing View on GitHub →
05
Machine Learning Flask Leaflet.js NASA EONET JavaScript
AI-Based Disaster Risk Prediction System
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Interactive disaster intelligence dashboard built using NASA EONET data. A Random Forest model predicts disaster risk based on geographic location and temporal patterns derived from historical events. The system visualizes global disaster activity using a dynamic heatmap, supports real-time map interaction, and provides instant risk predictions on user click through a Flask-based backend API.
Why it matters: Demonstrates an end-to-end AI system — data ingestion, preprocessing, machine learning, and interactive visualization — all integrated into a real-world decision support tool.
Disaster Risk Map
Machine Learning · Data Visualization · Web · API View on GitHub →
06
Verilog HDL Intel Quartus ModelSim
32-bit Ripple Carry Adder in Verilog
↗
Full 32-bit RCA designed in Verilog HDL, synthesized in Intel Quartus Prime, and verified with ModelSim waveform simulation. Analysed carry propagation delays across all 32 stages.
Why it matters: RTL design from spec to verified waveform — the same workflow used in professional ASIC and FPGA development.
Digital Design · RTL · FPGA View on GitHub →
07
Arduino HC-SR04 C Sensors
Ultrasonic Water Level Indicator
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Arduino-based system using HC-SR04 ultrasonic sensor to detect water levels and fire threshold-based alerts. Interrupt-driven sensor reading with debounced output.
Why it matters: Real GPIO interfacing, timing-critical sensor protocols, and practical hardware deployment — not just simulation.
Embedded · Sensors · Arduino View on GitHub →
Experience
May 2024 · 2 Weeks
KELTRON
Kerala State Electronics Corp.
Embedded Systems Intern
Industry internship at Kerala’s state electronics corporation. Hands-on work with microcontroller programming, GPIO interfacing, and embedded C workflows in a live production environment. First exposure to professional hardware debugging and engineering practices at scale.
Feb 2026 — Mar 2026
India Space Lab
Winter Intern — Aerospace & Drone Systems
Completed a 30-day technical internship focused on drone systems, satellite technologies, and aerospace engineering.

• Worked on CanSat & CubeSat systems, remote sensing, GIS, and UAV technologies
• Designed and simulated a Cessna 210 (NASA variant) aircraft using OpenVSP
• Recreated full aircraft geometry from reference drawings and validated across multiple views
Contact
Let’s build
something
real.

Open to internships in embedded systems, FPGA design, and IoT — anywhere hardware and software collide. If you're building something real, reach out.

Send Email
Email
abhijithsanthosh824@gmail.com
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LinkedIn
abhijithsanthosh2005
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GitHub
Abhijith911
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Instagram
abh1jithh._
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