Na

Nandagopan K

Machine Learning Engineer

Skills

Machine Learning
Deep Learning
Python
Matlab
PyTorch
NLP
Huggingface
ROS
Gazebo
Linux
Tableau
SQL
Flask
Version control (Git)
ResumeHire me
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites..

Mobile Robot Auto-Navigation

Deep reinforcement learning algorithms were implemented on a turtlebot3 for autonomous navigation and obstacle avoidance.

Gazebo
ROS
Python
Deep Learning
Pytorch

LQR Control on Two Wheeled Self Balancing Robot

An Linear Quadratic Regulation (LQR) controller was implemented to stabilize a self balancing robot. It was implemented in a simulated environment(Gazebo) and ROS was used to communicate with the robot.

Python
ROS
Gazebo

Deep Reinforcement Learning for Control Systems

Implemented state-of-the-art (SOTA) Deep Reinforcement Learning algorithms in the Gymnasium Classic Control environment and 3D environments. Bench-marking the results.

Python
Pytorch

Review Sentiment Analysis

This is an Amazon review sentiment analysis web app that is built using the Streamlit framework and the VADER model. The application outputs the sentiment of the review as either positive, negative, or neutral.

Python
Scikit-Learn
Streamlit

SpamClass

This Flask-based web app uses NLP techniques and a pre-trained Naive-Bayes model to classify messages as spam or non-spam.

Python
scikit-learn
flask
Contact

Get in Touch

GitHub iconLinkedIn icon