I work as a Machine Learning Scientist at Pi School.
- 🔭 I’m currently working on projects involving Deep Learning, Computer Vision and NLP.
- 🌱 What I've built so far ..
- Detect stress using EEG signals from real BCI Hardware (LSTM, PyTorch)
- Detect falls from video feed (MobileNetv2, PyTorch)
- Detect violent activity from CCTV video feed (Hummingbird, Scikit-learn)
- Recognize emotion from speech (PySpark, PyTorch)
- Teach a self-driving car to drive in a simulator (CARLA, Tensorflow)
- A home-service robot powered by ROS
- My thesis : Multi-task Learning for Autonomous Driving
- 😄 My Interests: AI for Good, R&D (Multi-task Learning, Multimodal Deep Learning), Building CV & NLP powered products. 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.
- Machine Learning : Python, Anaconda, Numpy, Scipy, Scikit-learn, Pandas, Librosa, 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)
- DevOps : Git, Github, Jira, Docker, Kubernetes
- Hardware : Arduino, Raspberry-Pi, Jetson TX2, OpenBCI Ganglion