Available for Embedded & Hardware roles

Embedded Engineer·Electronics Innovator·AI-Driven Builder

I design intelligent hardware — from STM32 firmware and ESP32-based IoT to ML-assisted antenna research and computer vision systems.

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9.0

CGPA

Projects

Awards

Engineer working on a circuit board with oscilloscope

STM32 · ESP32 · ARM

UART · SPI · I²C

About Me

Hello, I'm Kavitha A

Embedded engineer prototyping with development board

Embedded · IoT · ML

Hello, I'm Kavitha A, an Embedded Engineer at HCLTech with a strong passion for embedded systems, electronics, and intelligent technologies.

I completed my Bachelor's degree in Electronics and Communication Engineering from Rajalakshmi Engineering College with a CGPA of 9.0. Throughout my academic and professional journey, I have developed expertise in Embedded C, C++, STM32, ESP32, ARM-based systems, Linux, communication protocols, and machine learning applications.

I enjoy building innovative solutions that combine hardware and software — ranging from embedded systems and IoT applications to AI-assisted engineering designs and wireless communication technologies.

My goal is to continuously learn, innovate, and contribute to next-generation embedded and intelligent systems.

MCUs

Wireless

AI / ML

Tooling

Major Projects

Certifications

Awards

Internships

Experience

Where I've built things

CurrentCurrent

HCLTech

Embedded Engineer· Jigani

Embedded software development and integration on production hardware platforms.

Jun 2024 – Jul 2024

Precision Informatics Pvt. Ltd.

Intern· Chennai

Worked on real-time industrial projects.
Testing, calibration, and assembly of biometric sensors and tablets.

Feb 2024 – Mar 2024

InternEzy

Python & ML Intern· Chennai

Learned Python and Machine Learning.
Developed multiple ML projects.

Jan 2024 – Feb 2024

National Small Industries Corporation

Embedded Systems Intern· Chennai

Worked with Embedded Systems.
Hands-on with Arduino and sensors.
Designed and simulated electronic circuits using Proteus.

Technical Skills

Tools of the trade

Programming

C
C++
Embedded C
Python
Java

Embedded Systems

STM32
ESP32
ARM Architecture
Linux
PIC Microcontrollers

Communication Protocols

UART
SPI
I2C

Engineering Tools

CST Studio
Proteus
Embedded IDEs
Simulation Tools

Featured Projects

Selected work

Embedded hardware, antenna research, computer vision and machine learning applied to real engineering problems.

Machine Learning Assisted Design of an AMC-Based Dual-Band Microstrip Patch Antenna

Featured Research

Antenna Design

Machine Learning Assisted Design of an AMC-Based Dual-Band Microstrip Patch Antenna

Trained machine learning regression models on parametric CST sweeps to predict S11, bandwidth and resonance from geometry — collapsing days of simulation into seconds of inference.

Dual-band resonance with AMC backing validated
Order-of-magnitude reduction in simulation effort
Methodology presented at AICTE / Design Thinking forums

CST StudioPythonScikit-learnAMC SurfacesMicrostripRegression

Scanovate — Cost-Effective 3D Scanning for Precision Modelling

Hardware

Embedded Systems

Scanovate — Cost-Effective 3D Scanning for Precision Modelling

MicrocontrollerStepper DriversPythonPoint Cloud

ML Framework for Optimizing and Predicting Antenna Performance

Research

Machine Learning

ML Framework for Optimizing and Predicting Antenna Performance

PythonRegressionCST Studio

Drone Detection Using Deep Learning (CNN)

Vision AI

Computer Vision

Drone Detection Using Deep Learning (CNN)

PythonTensorFlowCNNOpenCV

Award Winner

Embedded Systems

Tachometer Using IR Sensor

MicrocontrollerIR SensorEmbedded C

Rectangular Slotted Patch Antenna for 5–6 GHz WLAN

RF Design

Antenna Design

Rectangular Slotted Patch Antenna for 5–6 GHz WLAN

CST StudioMicrostripRF Design

Achievements

Recognized work

1st Place

AICTE VAANI International Conference 2024

AI Chatbot Facilitating Learning Through Morse Code Communication for Dual Disability

1st Place

Micro Expo 2024

Tachometer Using IR Sensor

2nd Place

Design Thinking Contest

ML-Based Framework for Optimizing and Predicting Antenna Performance

3rd Place

QUINTESSENCE 2024 — SRM

Paper Presentation

Certifications

Continuous learning

NPTEL — Internet of Things
AI-Enhanced Antenna Design and Testing for Next-Gen Biomedical and 5G/mm-Wave Applications
Intelligent Metamaterial Antennas: AI-Powered Solutions for Next-Gen Wireless Systems
Value Added Course — Excel to Java
E-Vehicle Training by TVS Training Services

Education