I am still learning what to learn. I am extremely fascinated towards Data Science and especially Computer Vision and its application in robotics. I also love participating in Hackathons, reading literature related to visual tasks
All we need is vision.
Lingo used here
- 🍻 Strong - Lets grab beer and change the world one line of code at a time.
- ☕ Intermediate - Lets grab coffee and discuss one line of code at a time.
- 🧃 Familiar - I dont wanna go out, dont nag me.
- Strong - Python, Tensorflow/Keras, OpenCV, Numpy, Pandas, scikit-image, Git, Conda, Arduino Family, TF-Probability
- Intermediate - C/C++, HTML, FLask, Transformers, PyTorch, NVIDIA Jetson, Tensorforce, TFX, ROS2
- Familiar - JAX, Docker, ROS, FastAI, ChainerRL
- Strong - Computer Vision, Robotic, Perception, Generative Deep Learning, Unstructured Data Analysis, Bayesian Methods
- Intermediate - Data Structures and Algorithms, Motion and Path Planning, Single Agent Reinforcement Learning, Industrial Internet of Things
- Familiar - ROS Simulation, State Estimation and Localization, Multi-Agent Reinforcement Learning
... and I'm always learning and exploring stuff.
Still getting my head around the second life thing but this also works, I guess.
