Basic Info
About Baishnab
I’m Nirmal Baishnab, a Machine Learning Engineer and PhD candidate specializing in Computer and Mechanical Engineering. My research focuses on cutting-edge computer vision and generative models, from 3D microstructures to sports analytics. I’ve developed scalable frameworks, built efficient data pipelines, and contributed to impactful projects, including baseball umpire assist tools and microstructure generation using Latent Diffusion Models.
Outside of my professional life, I’m a semi-professional chess player striving towards becoming a professional, a devoted badminton enthusiast, and a regular at the gym. Whether it’s strategizing on the chessboard, smashing on the badminton court, or pushing limits at the gym, I’m always up for a challenge.
Expertise: PyTorch, Pandas, Scikit-Learn
Proficient: TensorFlow, Keras
Expert: AWS (S3, EC2, Lambda), Hugging Face Hub, Docker
Proficient: High-Performance Computing, Git, Linux System,
Command Line, Virtual Environments, Jupyter Notebook
Familiar: Multi-GPU Computing, Singularity Containers, MongoDB
Expert: Computer Vision, Stable Diffusion, VAE, Clustering,
Bayesian Optimization, Transfer Learning
Familiar: LLM, Active Learning, Reinforcement Learning, Transformers,
GANs, LSTM, RNN, PINN, NLP
Expertise: Python, Bash Familiar: C, C++, MATLAB, R
PhD in Mechanical Engineering, Co-major in Computer Engineering
M.Sc. in Materials Science
B.Sc. in Electrical and Electronic Engineering
