Hello! Welcome to my digital corner of the world!

My name is Krishna, and I am passionate about Physics-based AI Surrogate Modeling, Deep Learning Architectures, Natural Language Processing and Reinforcement Learning. With over 2 years of experience in machine learning and surrogate modeling, I have a strong foundation through a MS in Data Science streamlining concentration in Computational Intelligence and a BS in Industrial Engineering. Although My journey has largely been self-directed, motivated by an endless curiosity and a drive to solve complex data challenges.

I am currently working as a Graduate Student Research Assistant at University of Michigan - Dearborn, where my research involves building twin AI Surrogate Model for computationally inexpensive and approximating physical numerical methods in Crystal Plasticity simulations.

Previously, I worked as a Data Scientist at Zomato, where I worked on recommendation algorithm employing Collaborative filtering and personalized menu suggestions based on customer purchase history and regional food preferences through deep neural networks.

Currently based in Dearborn, MI, I spend my free time reading, hiking, traveling, and exploring new music genres over a cup of tea. If you’d like to connect or chat about anything from tech to travel, feel free to reach out. Thank you for visiting!

Current Endeavors

Deep-diving into Deep Learning frameworks, Reinforcement Learning, and Physics-based AI.
Exploring the potential of Surrogate Modeling in mechanical systems, with a focus on embedding physics into machine learning models.
Strengthening expertise in machine learning models and ML engineering, particularly within the context of e-commerce business acumen.
Actively learning trending tools and practices in MLOps to enhance end-to-end model deployment workflows.

Tech Arsenal

Languages: Python, R, C/C++, Javascript, Typescript, Modern Fortran
Libraries: PyTorch, Scikit-learn, Numpy, Pandas, Matplotlib, Tensorflow, Keras, OpenCV
Regression Models: Random Forest, Support Vector Machines, XGBoost, AdaBoost
Classification Models: Decision Trees, Logistic Regression, K-Means Clustering, K-Nearest Neighbors, Hierarchial Clustering
Deep Learning Frameworks: Multi-Layer Perceptron(MLP), Extreme Learning Machines(ELM), CNNs, Simple RNN, LSTM, GRU, Attention based RNNs, Transformers, GNNs, Physics Informed Neural Networks (PINNs)
Web Frameworks: Flask, FastAPI, Djankgo, NextJS, React
Tools: Docker, PostgreSQL, MS Word, Excel, Tableau

Resume

Career Timeline

Sep 2024 - Present	Graduate Student Research Assistant at University of Michigan - Dearborn.
Aug 2024 - Present	Master's in Data Science at University of Michigan - Dearborn.
Jan 2024 - Jun 2024	Data Scientist at Zomato.
Sep 2020 - Jun 2024	Bachelor's in Industrial Engineering at National Institute of Technology, Jalandhar.