Hi, I'm Mrudhuhas
I'm a Machine Learning Engineer with over 7 years of experience building and deploying AI solutions. My focus lies in Natural Language Processing, Large Language Models, and Generative AI. I work across the stack — from training transformer architectures like BERT and GPT-2 to deploying scalable microservices on the cloud using Docker, Kubernetes, and FastAPI.
In recent years, I've been deeply involved in projects that combine deep learning with practical applications — building tools, deploying models, and continuously learning from the evolving AI ecosystem.
✍️ Blog Posts
Language Modeling - N-gram
A walkthrough of statistical language models and how they evolved from simple counts to probabilistic approaches.
Understanding Tokenizers
Learn about the fundamentals of tokenization in NLP and why it's a crucial preprocessing step.
Understanding Overfitting in Machine Learning
Explore the common challenge of overfitting in ML models and strategies to prevent it.
Transforming Text into Numbers for Machine Learning
A deep dive into text vectorization techniques for machine learning algorithms.
Topic Modeling with Semantic Vectors
Uncovering hidden meanings and themes in text data using advanced topic modeling.
Text Classification: From BOW to Transformers (Part 1)
Exploring the evolution of text classification techniques from basic methods to modern approaches.
Text Classification: From BOW to Transformers (Part 2)
Diving deeper into transformer architectures for state-of-the-art text classification.
Sentiment Analysis with Naive Bayes Classifier
Implementing a probabilistic approach to sentiment analysis using Naive Bayes.
Sentiment Analysis with Logistic Regression
A statistical approach to sentiment classification using logistic regression.
Word Embeddings
Understanding vector representations of words and their semantic relationships.
🛠️ Projects
🧾 Brochure Generation
An AI-powered tool that automatically generates marketing brochures from product descriptions using state-of-the-art language models.
🤖 NLP Toolkit
A comprehensive library of NLP utilities for text preprocessing, tokenization, vectorization, and basic model implementations.
📊 ML Experiment Tracker
A lightweight tool to track, visualize, and compare machine learning experiments with minimal setup.