Learning & Growth
A collection of my technical deep dives, conceptual notes, and the structured paths I'm following to master new technologies.
Technical Insights
What I Learned Reading SWE-bench
May 2026A breakdown of the ICLR 2024 paper that tests AI on real GitHub bugs — and why the results were humbling.
Understanding Model Context Protocol (MCP)
May 2026A deep dive into how MCP is standardizing the way AI models interact with local and remote data sources.
The Power of Go Routines
May 2026How Golang's lightweight threads enable massive concurrency with minimal overhead.
Framer Motion Best Practices
April 2026Optimizing layout animations and shared element transitions for a premium feel.
Structured Journey
DSA Pattern Mastery
In ProgressMastering Data Structures using the Design Gurus curriculum.
Git & GitHub Mastery
CompletedVersion control essentials for modern software development.
Go (Golang)
In ProgressMastering cloud-native development, goroutines, and backend scalability.
C++ Programming
In ProgressMastering memory management, pointers, and OOP.
Flask Web Development
In ProgressBuilding lightweight and scalable web applications with Python.
Rust Programming
In ProgressMastering memory safety, concurrency, and performance with the Rust language.
Machine Learning Fundamentals
In ProgressMastering the mathematical intuition and practical implementation of ML from foundations to Scikit-learn.
Deep Learning & Neural Networks
In ProgressA high-intensity dive into neural architectures, from perceptrons and backprop to Transformers and Attention mechanisms.
Data Engineering & Preprocessing
In ProgressThe foundation of reliable AI. Mastering the art of transforming raw, messy data into high-performance feature sets.
Model Deployment & MLOps
In ProgressClosing the gap between research and production. Engineering robust, scalable, and monitored ML systems.
Cloud & Infrastructure for AI
In ProgressArchitecting the environment for AI. Mastering GPUs, distributed training, and managed cloud services like AWS SageMaker and Vertex AI.
Specialized AI Domains
In ProgressChoosing a superpower. Mastering specific niches like Computer Vision, NLP, Reinforcement Learning, and the frontier of Generative AI.