Electronics & Computer Engineering Student

Hi, I'm Vatsalya Patidar.

Electronics & Computer Engineering Student | AI & Machine Learning Enthusiast | Full Stack Developer

I build practical systems at the intersection of AI, embedded electronics, signal processing, and modern software engineering. My focus is on shipping elegant solutions that solve real-world problems with clarity, performance, and precision.

VP
India

Vatsalya Patidar

Electronics & Computer Engineering at VIT Chennai

Currently exploring
Focus areas
AI
Embedded
Signal Processing
Full Stack
Responsive systems
Reliable delivery
Fast iteration
About

A focused engineer with hardware depth and software range.

I am an Electronics and Computer Engineering student building a balanced profile across machine learning, embedded systems, and full stack product engineering.

Professional Biography

I enjoy building systems that connect algorithmic thinking with real-world constraints. My work spans AI prototypes, embedded experimentation, signal analysis, and modern web interfaces. I care about clean architecture, performant delivery, and products that feel polished from the first interaction.

Education

B.Tech, Electronics and Computer Engineering

VIT Chennai

Approach

Research-minded, delivery-focused, and detail oriented.

Areas of Interest

Core subjects that shape the way I build and think.

Artificial Intelligence
Machine Learning
Embedded Systems
Signal Processing
Full Stack Development
Computer Vision

Problem Solver

Turns complex constraints into practical systems.

Quick Learner

Adapts fast across hardware, software, and research.

Team Player

Collaborates clearly and executes reliably.

Competitive Programmer

Builds speed, precision, and algorithmic instinct.

Skills

Technical depth across programming, web, AI, embedded, and tools.

Each category below reflects the stack I can use to move from concept to implementation with confidence.

Programming

6 core technologies

C92%
C++94%
Python93%
JavaScript90%
TypeScript88%
SQL85%

Web

5 core technologies

React92%
Next.js91%
Node.js86%
Express84%
Tailwind CSS95%

AI / ML

6 core technologies

TensorFlow86%
PyTorch88%
OpenCV90%
NumPy94%
Pandas92%
Scikit-learn89%

Embedded

5 core technologies

ESP3285%
Arduino88%
Verilog83%
MATLAB90%
Raspberry Pi82%

Tools

6 core technologies

Git95%
GitHub94%
Firebase82%
VS Code96%
Linux88%
Docker80%
Projects

Selected work spanning hardware, AI, signal processing, and automation.

The cards below use animated preview frames, subtle motion, and clear action buttons to keep the presentation premium and readable.

Hardware-based Signal Confidence Evaluation Front-End

Analog hardware for estimating the confidence of sensor signals before ADC conversion.

Analog Electronics
Op-Amps
Comparators
Filters
Low-noise signal conditioning
Pre-ADC confidence estimation
Hardware-first validation

Landroid

AI-powered agricultural intelligence platform using drone imagery and Firebase-backed workflows.

Python
OpenCV
React Native
Firebase
NDVI analysis
Land valuation
Crop health insights
Firebase integration

Hand Cleanliness Detection

Computer vision system that evaluates hand cleanliness with ESP32 integration for edge deployment.

Computer Vision
ESP32
Python
IoT
Real-time inference
Embedded integration
Applied hygiene analytics

STFT vs Wavelet Analysis

MATLAB signal processing project comparing Fourier and Wavelet transforms across sample datasets.

MATLAB
Signal Processing
Fourier Analysis
Wavelets
Spectral comparison
Windowing analysis
Interpretability focus

BenchBuilder

Automatic Verilog testbench generator for accelerating HDL validation workflows.

Verilog
Automation
EDA
Testbenches
Boilerplate generation
Faster verification
Hardware design support

More Projects Coming Soon

Additional experiments, systems, and product ideas are continuously in progress.

Experience

A timeline for internships, research, hackathons, and leadership.

These entries are placeholders ready to be customized as your career path evolves.

Internship

Placeholder

Engineering internship focused on product thinking, delivery, and measurable impact.

Research

Placeholder

Applied research work spanning embedded systems, machine learning, and signal analysis.

Hackathons

Placeholder

Built rapid prototypes under pressure with teammates across hardware and software stacks.

Leadership

Placeholder

Led and coordinated collaborative initiatives with clarity, ownership, and accountability.

Education

Academic timeline with a clear engineering foundation.

A concise record of formal study and current academic progress.

Bachelor of Technology

2023 - 2027

VIT Chennai · Electronics and Computer Engineering

CGPA placeholder: 9.2 / 10

Achievements

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LeetCode Problems Solved

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Projects Completed

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GitHub Repositories

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Certifications

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Hackathons

Certifications

Placeholder certificates laid out as a polished grid.

Use these cards as a simple structure for public certifications or course completions.

Machine Learning Foundations

Placeholder Certificate

AI / ML coursework and applied project work.

Embedded Systems Design

Placeholder Certificate

Microcontrollers, interfacing, and practical hardware design.

Full Stack Development

Placeholder Certificate

React, Next.js, APIs, and production-ready UI systems.

Signal Processing

Placeholder Certificate

Transforms, filtering, and analytical problem solving.

Contact

Start a conversation or drop a quick note.

This section includes a simple contact form, direct links, location details, and a success state after submission.

Send a message

Use the form below for collaborations, opportunities, or project discussions.