Mrudhuhas

Machine Learning Engineer with 7+ years specializing in NLP, Large Language Models, and production AI systems. Building and deploying solutions across the stack — from training and fine-tuning transformers to cloud-native microservices.

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Writing

Mar 2026 Fused Softmax on GPU: From Naive PyTorch to Persistent Triton Kernels
Dec 2024 Building a Production-Grade Agentic RAG System
Sep 2024 Demystifying Simple Linear Regression: From Theory to Implementation
Jun 2024 Image Similarity Search with ResNet and Nearest Neighbors
Mar 2024 Sentiment Analysis: From Bag of Words to Word Embeddings
Jan 2024
Text Classification
- Part 1: Text classification from BOW to Transformers
- Part 2: Pre-trained Models, Zero-Shot, and Prompt-Based Classification
Jul 2023 Uncovering Hidden Meanings: Topic Modeling with Semantic Vectors
May 2023 Language Modeling: N-gram
Apr 2023 Vectorization: Transforming Text into Numbers for Machine Learning
Feb 2023 Understanding Tokenizers: The Building Blocks of NLP
Dec 2022 Embeddings
Sep 2022 Sentiment Analysis with Logistic Regression
Jul 2022 Sentiment Analysis : Naive Bayes Classifier
Feb 2022 Understanding Overfitting in Machine Learning