Timeline
Journey
2022
Started Programming
Began coding with Python, learning the fundamentals of programming and computational thinking.
2023
Started AI
Dive into machine learning, studied neural networks, and built first ML projects with scikit-learn.
2024
Deep Learning
Advanced into deep learning with PyTorch, implemented CNNs, RNNs, and began studying Transformer architectures.
2025
Built Transformer
Built a full decoder-only Transformer from scratch including custom BPE tokenizer, RoPE, and GQA.
Today
Building AI Systems
Focused on efficient inference, CUDA optimization, and building production-ready AI systems at scale.