Software & Machine Learning Engineer
Machine Learning Researcher interested in
Artificial Intelligence
Machine Learning, Reinforcement Learning, NLP, MLOps.
Software Engineering
Prompt Egineering, Backend Development, Rust, Python, etc.
Functional Programming
Category Thoery, Elm Programming, Haskell, etc.
Mathematics
Fourier Analysis, Linear Albegra, Statistics, Graph Thoery, etc.
Blog Highlights
Term Frequency-Inverse Document Frequency
In this tutorial we will look at what TF and IDF are and how they can be use to process text data for Machine learning.
Read moreLarge Scale Vector Comparison
In this post, we will look at the quora qna dataset and aim to encode and compare all question pairs. The purpose of is to look at a real dataset.
Read moreComparing Vectors with Cosine Simlarity Function
This tutorial will focus on the math behind text vector similarity using numpy, pytorch, and stentence-transformers libraries in python.
Read morePersonal Projects
Full Stack web app development with: Hasura, Elm, Python, Tailwindcss, Graphql, Vite.
A full-stack application built to be a user-friendly front-end interface with a robust back-end architecture with feature like playlist create and user authentication.