Bipin Saha

Skills

Languages
Machine Learning
- Concepts: Supervised, Unsupervised Machine Learning, Neural Networks, Convolutional Neural Networks, Graph Neural Networks, Long Short Term Memory, Transformers
- ML Framewroks: PyTorch, Tensorflow 2.0, Scikit-Learn
- Library: Hugging-Face, Numpy, Pandas, Spacy, NLTK, Matplotlib, Seaborn, Plotly
Computer Vision
- Concepts: Object Detection, Segmentation, Key Point Detection, Face Recognition
- CV Framewroks: MMLab, IceVision, YOLO's, OpenCV, Open3D, Pillow, Scikit-Image, Dlib
Generative AI
- Concepts: Generative Adversarial Network (GAN), Variational Auto Encoders(VAE), RAG, Self Supervision, Zero Shot to Few Shot Prompting, Domain Adaptation
- Models: OpenAI, Gemini-Pro, LLama 2, Mistral, OpenChat
Robotics
- Concepts: Visual Perception, SLAM, Forward Inverse Kinematics, Mobile Robotics, Control Optimization, Power Management
- Simulation Tools: Coppeliasim, Webots, Robot Operating System (ROS 2.0), Simulink, Simscape
Electronics
- Boards: Arduino (Uno, Mega, Duo, Nano), Raspberry-Pi (Zero, 3B, 3B+, 4), STM32 (Blue Pill, Black Pill), ESP32, ESP8266, TTGo
- Tools: Proteus, Altium, Multisim, Easy-EDA
Deployment: Docker, Flask, FastAPI, Streamlit
Python Environments: Anaconda, Miniconda, Venv, Pipenv, Poetry
Database: PostgreSQL, SQLite
Version Control: Git
OS: Windows, Linux (Ubuntu 16.04, 18.04, 20.04, 22.04), Raspbian
CI/CD: GitHub Actions