VEDANTPATIL

Building intelligent software, hardware projects, and AI-powered solutions that solve real-world problems.

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What Defines My Work

Recognition4× Hackathon Winner
LocationMumbai, India

Electronics and Computer Science student building engineering systems across software and hardware domains. My projects span IoT systems, backend applications, machine learning solutions, and data-driven applications — with a focus on building practical systems that solve real-world problems.

Currently strengthening foundations in data structure and algorithms, embedded systems, and low-level programming while exploring system-oriented engineering domains.

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SELECTED WORK / 01–06

ENGINEERING PROJECTS
BUILT TO WORK.

01 / QUANTITATIVE FINANCE

OPTIONS PRICING MODEL

Built a quantitative finance platform for pricing and analyzing stock options using derivatives models. Implemented the CRR Binomial Tree Model, EWMA volatility forecasting, and risk-neutral valuation to estimate option prices under varying market conditions.

Quantitative finance platform for options pricing and risk analysis using CRR Binomial Tree, EWMA volatility, and risk-neutral valuation.

PythonBinomial TreeBlack-ScholesFinance
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QUANTDEVS — Options pricing and risk analysis CLI splash screen
03 / MACHINE LEARNING MARKETPLACE

PREDICTKART

Developed a machine learning e-commerce intelligence system that automates product discovery and price comparison. Integrated large language models and web scraping to predict price-drop probabilities.

E-commerce intelligence system using machine learning and web scraping to compare prices and predict price-drop probabilities.

FastAPINext.jsPostgreSQLLlama 3.1
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PredictKart — price history & tracker web app homepage
05 / COMPUTER VISION

GESTURE CONTROL SYSTEM

Built a privacy-first gesture-controlled browser interface for touchless navigation using computer vision. Utilized Google MediaPipe Hand Landmarker for low-latency gesture recognition.

Privacy-first Chrome extension enabling touchless browser navigation using Google MediaPipe Hand Landmarker.

MediaPipeWebAssemblyChrome ExtensionCV
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Gesture Control System — Chrome extension overlay with hand landmark tracking
TOOLKIT

TECH STACK

Python
Python
TypeScript
TypeScript
JavaScript
JavaScript
Java
Java
C
C
C++
C++
React
React
Next.js
Next.js
HTML5
HTML5
CSS3
CSS3
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MongoDB
MongoDB
Supabase
Supabase
Firebase
Firebase
NumPy
NumPy
Pandas
Pandas
scikit-learn
scikit-learn
Git
Git
GitHub
GitHub
Canva
Canva
CapCut
CapCut
Arduino
Arduino
MediaPipe
MediaPipe
Vercel
Vercel
AI & UTILITIES

WORKFLOW

Antigravity
Antigravity
ChatGPT
ChatGPT
Gemini
Gemini
DeepSeek
DeepSeek
Perplexity
Perplexity
GitHub Copilot
GitHub Copilot