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Machine Learning & AI
Building intelligent systems using modern ML frameworks and algorithms.
- Supervised & Unsupervised Learning
- Neural Networks & Deep Learning
- Natural Language Processing
Open to internships and collaborative projects
Hi, I'm Devarsh Prajapati.
I'm a Computer Science student with a strong passion for AI, data analytics, and modern software development. I love turning ideas into real-world applications — from intelligent systems to full-stack web projects that solve meaningful problems. Outside of tech, I'm all about fitness and adventure — whether it's hitting the gym or exploring new experiences that push my limits.
- Python
- JavaScript
- Java
- React.js
- Machine Learning
- Github
- AWS
Technical Skills
Areas I'm passionate about and actively developing through coursework and personal projects.
🌐
Full-Stack Web Development
Creating responsive, user-friendly web applications from front to back.
- React & Modern JavaScript
- Django & Backend APIs
- Database Design & Management
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Data Analytics & Automation
Extracting insights from data and automating workflows efficiently.
- Data Visualization & Analysis
- Web Scraping with Selenium
- SQL Query Optimization
Featured Projects
A selection of work showcasing AI/ML, full-stack development, and production-ready systems.
Deployed
AI Stock Insights
ML-powered stock analysis platform with 10+ technical indicators, ensemble prediction models (Random Forest, Gradient Boosting), and interactive Streamlit dashboards.
- Real-time data from Yahoo Finance API
- RSI, Bollinger Bands, ATR indicators
- Multi-day price forecasting with accuracy metrics
- CSV export for further analysis
Python
Streamlit
scikit-learn
Plotly
Production
Rateflix
Social media platform for movie reviews with secure authentication, personalized watchlists, and TMDB API integration. Built with Java Swing and MySQL using MVC architecture.
- User authentication & profile customization
- Community ratings with aggregate scoring
- Movie metadata from TMDB API
- Normalized database (3NF) with connection pooling
Java Swing
MySQL
JDBC
TMDB API
In Development
Multi-Agent AI Task Automator
Production-ready agentic AI system with 5 specialized agents (Planner, Calendar, Communication, Summarizer, Memory) orchestrated via LangGraph. Includes full authentication, RAG memory, and real-time updates.
- Next.js frontend with WebSockets & live dashboards
- FastAPI backend with async agent orchestration
- RAG-based memory using Pinecone vector DB
- Google Calendar & Slack API integrations
- Docker + AWS ECS deployment with CI/CD
Next.js
FastAPI
LangGraph
PostgreSQL
Docker
Let's build something amazing together.
I'm actively seeking internship opportunities and open to collaborating on exciting projects.
About Me
I'm a Computer Science student passionate about leveraging technology to solve real-world problems. My journey in tech has been driven by curiosity and a desire to build impactful solutions. From AI applications to full-stack development, I enjoy exploring different domains and constantly learning new technologies.
Education
Bachelor of Science (Hons.), Computer Science
Lassonde School of Engineering, York University
2022 — Present
4+ years coding
10+ projects