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👨🏻‍💻  About Me:

🎓  I'm currently a Gradute Student studying Masters in Computer Engineering at University of California, Riverside.

🔭  I’ve worked as a Machine Learning Engineer at CancerMoonShot.

💡  I like to solve algorithmic problems or work on my side projects during my free time.

🌱  I'm currently learning more about Systems Design, Parallel and High Performance Computing.

💬  Feel free to reach out to me for work opportunities or working alogside a project.


🛠  Tech Stack:

💻  Languages:

Python  C  C++  Java  R  HTML  CSS  JavaScript 

🚀  Technologies:

NextJS  React  Node.js  MongoDB  PostgreSQL  Git  Linux 


📈 Statistics


AnirudhTulasi


📕 Pinned Repositories

Anirudh Tulasi's Projects

cvmatcher icon cvmatcher

Matches the CV to the given job description.

llm.c icon llm.c

LLM training in simple, raw C/CUDA

tensorflow-in-practice-specialization icon tensorflow-in-practice-specialization

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Looking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization. Applied Learning Project In the TensorFlow in Practice Specialization, you'll review lectures, videos, and practice assessments, that will teach you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems.

twip icon twip

Personality plays a vital role in todays world.This uses the Twitter REST API to mine tweets for personality identification. We will use n-grams and word vectors for the hashtags, emoticons and phrases using NLP techniques. We will train the machine to classify the personality types by using a Naive- Bayes Text Classifier and to accurately predict the user’s Myers-Briggs personality type using 10- fold cross validation. We will generate a naive bayes classifier models for all 4 different classes. It will generate few scores which will give the training data size and the features used while training the model.

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