π B.Tech in Computer Science & Engineering @ Parul University (2022β2026)
π¬ Passionate about AI, Machine Learning, Data Science, and Full-Stack Development
π Building intelligent systems that solve real-world problems
| Category | Technologies |
|---|---|
| Languages | Python, Java, JavaScript, SQL, HTML/CSS, Dart |
| AI/ML | TensorFlow, PyTorch, Scikit-learn, OpenCV, NLP, LangChain, LLMs |
| Web Dev | Flask, React.js, Next.js, Node.js, Tailwind CSS, Bootstrap |
| Mobile | Flutter |
| Databases | MongoDB, SQL |
| Tools | Git, Figma, Tableau, n8n, LangGraph |
π₯ NutriNavigator
AI-driven nutrition & fitness platform using Groq's Llama3-70b to generate personalized health plans.
Real-time parking slot detection using CNN (VGG16), OpenCV, and Flask for live video processing.
Web app predicting blood group from fingerprint data using Random Forest (educational project).
Crop Selection using Machine Learning Techniques for Better Agriculture Performance
- Published in IET (July 2025)
- Achieved 99.5% accuracy using Gaussian Naive Bayes
- Focused on climate, soil, and environmental factors for crop yield prediction
| Company | Role | Duration |
|---|---|---|
| InLightx Global | AI/ML Intern | Sep 2025 β Feb 2026 |
| Feynn Labs | Machine Learning & Data Science Intern | Mar 2025 β May 2025 |
| CodeAlpha | Machine Learning Intern | Dec 2024 β Mar 2025 |
| LearnTricks | Data Analyst Intern | Nov 2024 β Dec 2024 |
- Introduction to IoT (NPTEL) β Elite Certified
- Computer Networking Fundamentals
- Machine Learning using Python (Udemy)
- Tableau Workshop (Parul University)
β "Iβm excited to put my knowledge to use through practical projects and internships, and Iβm passionate about always broadening my skill set."