AI/ML Engineer | IMSc Student | Data Science & Machine Learning Enthusiast
Welcome to my GitHub — where I explore Artificial Intelligence, Machine Learning, Data Science, and Full-Stack Development 🚀.
I am currently pursuing IMSc at GLS University and actively building projects in AI/ML, Computer Vision, Generative AI, and Data Analytics.
- Building AI-powered applications using Python, FastAPI, LangChain, and Streamlit.
- Developing Machine Learning and Deep Learning projects for real-world problem solving.
- Working on Computer Vision applications using YOLO and OpenCV.
- Exploring Generative AI, RAG Systems, Vector Databases, and LLM-powered applications.
- Preparing for AI/ML Engineer and Data Science roles.
- 🤖 News Research Chatbot – LangChain-based RAG application using FAISS, MistralAI, and Streamlit for intelligent news analysis.
- 🚕 NYC Taxi Trip Duration Prediction – End-to-end Machine Learning pipeline with feature engineering, model training, and deployment.
- 👁️ Employee Monitoring System – Real-time person detection, tracking, and counting using YOLOv8, OpenCV, FastAPI, and WebSockets.
- 🔢 Digit Classification System – CNN-based image classification using TensorFlow and FastAPI deployment.
- 📊 Data Analytics Projects – Tableau dashboards and statistical analysis for business insights.
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📍 Based in: Ahemdabaad / Surat, Gujarat, India
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🔗 LinkedIn: https://www.linkedin.com/in/parth-savaliya-b416652a7/
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📧 Email: parthsavaliya511@gmail.com
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📄 Resume: View Resume
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🌐 Portfolio: Coming Soon
- 🤖 Advanced Machine Learning & Deep Learning
- 🧠 Large Language Models (LLMs)
- 🔍 Retrieval-Augmented Generation (RAG)
- ☁️ Cloud Computing & MLOps
- 📈 Data Structures & Algorithms for Placements
- Python
- Java
- SQL
- JavaScript
- Scikit-Learn
- TensorFlow
- Pandas
- NumPy
- Matplotlib
- OpenCV
- YOLO
- LangChain
- LangGraph
- FAISS
- Vector Databases
- RAG Applications
- MistralAI
- FastAPI
- Flask
- REST APIs
- Streamlit
- HTML
- CSS
- MySQL
- SQLite
- Git & GitHub
- Google Colab
- Jupyter Notebook
- Tableau
- VS Code
- Master Deep Learning and Generative AI.
- Contribute to Open Source projects.
- Strengthen DSA and System Design skills.
⭐ Always learning, always building, and always curious about solving problems with AI.