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Hi 👋, I'm Vijayasri (vij)

I work as a Machine Learning Scientist at Pi School.

  • 😄 My Interests: Multimodal Deep Learning, LLMs, AI Safety & AI for Good. I have done graduate level coursework in public policy, with a specialization in tech and policy.
  • 📫 You can find me on Google Scholar, LinkedIn, Medium.
  • 🤹🏽‍♀️ My other interests : Writer, Indian classical Vocalist and a Certified Yoga Instructor.

Skills

  • Machine Learning : Python, Anaconda, Scikit-learn, Pandas, Plotly, Seaborn, PySpark, HuggingFace, NLTK, OpenCV, Tensorflow, Keras, PyTorch, OpenAI Gym, Pennylane, OpenVINO
  • Robotics : ROS, Gazebo, C++, Point Cloud Library (PCL), Node-RED, CARLA
  • Web Development : HTML/CSS/JS, Bootstrap, Flask, Django, MySQL, MongoDB
  • Cloud Computing : AWS (DynamoDB, IoT Core, EC2, ECS, Kinesis, Sagemaker, CodeDeploy, CloudFormation), GCP
  • DevOps : Git, Github, Jira, Docker, Kubernetes
  • Hardware : Raspberry-Pi, Jetson TX2, OpenBCI Ganglion

Vijayasri I.'s Projects

activityrecognition icon activityrecognition

Activity Recognition is a python project that learns from a video-based dataset to categorize a set of videos, each in their category.

apollo icon apollo

An open autonomous driving platform

appointment-scheduler icon appointment-scheduler

It's a simple web app that I created as a part of project. It allows you to book and delete appointments

bdd100k_visualize icon bdd100k_visualize

A data visualization tool for the Berkley Deep Drive Dataset (available as a Plotly-Dash webapp or TKinter GUI app)

carla icon carla

Open-source simulator for autonomous driving research.

casino-ethereum icon casino-ethereum

Building a decentralized casino betting game using solidity on the ethereum blockchain

dstar icon dstar

dstar algorithm implemented by python

eeg-firebase icon eeg-firebase

Pushing data from the EEG ganglion sensor to a firebase real-time database

eeg-stress-companion icon eeg-stress-companion

Building an application for stress detection and management using OpenBCI ganglion, PyTorch and AWS.

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