- 15/03/2025 - Multi Output NN: First time developed a simple Sequential Dense Network from scratch (multi IN, mutli OUT).
- 14/03/2025 - Mini Batching: Implemented Mini Batching in NN from scratch (multi IN, single Out)
- 13/03/2025 - SGD: Implemented Stochastic Gradient Descent in NN from scratch (multi IN, single Out)
- 10/03/2025 - Adam: First time developed an Adam Optimizer from scratch.
- 05/03/2025 - Website: Launched my website! 🎉 Check it out: ©️Website
- 28/02/2025 - Optimizer 2: First time developed a Momentum-based Optimizer from scratch.
- 26/02/2025 - Optimizer 1: First time developed an Adaptive Learning Rate Scheduler for Gradient Descent.
Also, check out my 📚Blog
I'm a developer passionate about mathematics, statistics, and machine learning, with a focus on neural networks, and algorithmic problem-solving. My projects prioritize clarity and step-by-step logic over raw performance, aiming to showcase both functionality and intuition.
🔹 Advanced: Python, SQL
🔹 Beginner: C, HTML, CSS, JavaScript
🔹 Libraries: NumPy, TensorFlow, Keras
💡 Reinventing the Concept – Creating from scratch gives a deeper understanding
💡 Understanding First, Optimization Second – Focus on intuition and correctness
🔍 Showcasing Skills, Not Just Code – Portfolio-oriented projects
🎨 Code Readability Matters – Expressing complex ideas clearly