Final-year Computer Engineering student with a Minor in Data Science with Python, focused on Artificial Intelligence, Machine Learning, Generative AI, and Data Science.
I am interested in building practical AI-driven applications and working across the complete development workflow — from data preprocessing and machine learning to semantic retrieval, API integration, visualization, and deployment.
- Final-year B.E. Computer Engineering student
- Minor in Data Science with Python
- Focused on AI/ML, Generative AI, NLP, and Data Science
- Hands-on with RAG, LLMs, Vector Embeddings, and Semantic Search
- Experienced with FastAPI, REST APIs, Streamlit, and AI API integration
- Strong interest in building intelligent, data-driven applications
- Currently strengthening Deep Learning, Advanced SQL, Statistics, and Generative AI
Python • SQL • MySQL • HTML • CSS
Scikit-learn • Classification • Regression • Clustering • Feature Engineering • EDA • PCA • Model Evaluation
RAG • LLMs • Prompt Engineering • Vector Embeddings • Semantic Search • NLP • Whisper • Ollama • Gemini API
TensorFlow • Neural Networks • Deep Learning Fundamentals
Pandas • NumPy • Power BI • DAX • Power Query • Microsoft Excel • Matplotlib • Seaborn
Probability • Central Limit Theorem • Hypothesis Testing • Statistical Analysis
FastAPI • REST APIs • Streamlit • Git • GitHub • Jupyter Notebook • Google Colab • VS Code
- Generative AI and LLM Applications
- Retrieval-Augmented Generation
- Machine Learning
- Deep Learning
- Advanced SQL
- Statistics for Data Science
- AI Application Development
I am currently focused on opportunities in:
AI/ML • Generative AI • Data Science • Applied AI
My goal is to build practical and reliable AI systems that combine machine learning, data, and modern Generative AI technologies.
LinkedIn: https://www.linkedin.com/in/kalpesh-nankar-0b485829a
Portfolio: https://nankar-kalpesh.vercel.app/
Email: nankarkalpesh08@gmail.com