A practical learning repository documenting my journey from Python fundamentals to Machine Learning, Deep Learning, Generative AI, and AI Engineering.
This repository contains my learning notes, code, experiments, and hands-on projects as I progress toward becoming an AI Engineer.
Python → Data Analytics → Data Science
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Machine Learning → Deep Learning → Computer Vision → NLP
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Generative AI → LLMs → RAG → AI Agents
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Become a Full Stack AI Engineer
Python fundamentals, programming concepts, and core Python practice.
- Class 1–12
- Python fundamentals
- Data structures
- Functions
- OOP
- File handling
- Exception handling
- Iterators & Generators
- Decorators
- Other Python concepts
Learning the core Python libraries used for data analysis and visualization.
- NumPy
- Pandas
- Matplotlib
- Seaborn
Machine Learning concepts, algorithms, implementations, and projects.
- Scikit-Learn
- Regression
- Classification
- Clustering
- Feature Engineering
- Model Evaluation
Learning neural networks and modern Deep Learning concepts.
- PyTorch
- Neural Networks
- CNN
- Computer Vision
Learning modern Generative AI technologies and building AI-powered applications.
- LLMs
- Embeddings
- RAG
- LangChain
- AI Agents
The repository currently includes hands-on projects across Machine Learning, Deep Learning, and Generative AI.
- House Price Prediction
- Breast Cancer Classification
- Spam Detector
- Image Classification
- AI CV Analyzer
- AI Doc Intelligence
- Enterprise AI Business Assistant
More projects will be added as I continue learning.
My goal is to build a strong foundation and gradually move toward building production-ready AI systems.
| AI ChatBot | VS Code Overview |
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| ATS Job Analyzer | AI/ML Model |
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| Enterprise AI Business Assistant | Dashboard |
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Full-Stack Developer (Web + App) & AI Engineer
Full-Stack Developer with 1+ year of experience building scalable web apps (Next.js, Node.js, FastAPI), cross-platform mobile apps (React Native), and intelligent AI solutions (Agentic AI, LLM, RAG, LangChain).
My current focus is on: Machine Learning · Deep Learning · Generative AI · LLMs · RAG · AI Agents · AI-powered Applications
This repository is continuously evolving — not a finished course, but an ongoing record of growth where I keep adding concepts, experiments, and projects as I learn and build.
⭐ From Python fundamentals toward AI Engineering.
Keep learning. Keep building.