Hi, I am Anant, a theoretical physicist about to finish a PhD in Particle Physics, with a focus on strongly-interacting low-dimensional quantum systems. Welcome to my GitHub page!

• 🔭 I’m currently wrapping up my PhD on three-dimensional mirror duality, which is, at its heart, a very interesting (read: weird) phenomenon in three spacetime dimensions that relates multiple field theories.

My research focuses on classifying dual pairs in three-dimensional supersymmetric quantum field theories with minimal supersymmetry. This has been an open problem for three decades — the absence of extended supersymmetry, in conjunction with the presence of topological interactions, removes the usual geometric constraints from string theory that make such classifications tractable. My doctoral work developed a systematic framework for constructing these dual pairs: starting from known dualities as seeds and applying controlled operator deformations to generate new ones. This produced the first comprehensive results in this regime, with findings published in Physical Review D and the Journal of High Energy Physics.

📄 Find my publications here.

• 🌱 Alongside the PhD, I've been building ML/AI engineering skills from the ground up. My scientific programming language of choice is Python (NumPy, pandas, matplotlib, Seaborn), but I am familiar with MATLAB and Mathematica.

I have hands-on experience across the ML stack:

• Classical Regression and Classification via scikit-learn, XGBoost, CatBoost, and imblearn
• Deep Learning via TensorFlow/Keras (FFNs, CNNs), and PyTorch
• Geometric Deep Learning via PyTorch Geometric
• Domain-adapted LLM fine-tuning
• Retrieval-Augmented Generation (vector- and graph- based) mostly via LlamaIndex
• NLP and Transformer architectures via nltk, spaCy, HFTransformers
• Time-series forecasting via LSTMs, multi-head self-attention Transformers and neuralforecast
• Tracking and logging ML experiments via Mlflow
• Experiment-driven model development and evaluation

I have also been experimenting with reinforcement learning and geometric deep learning on the side (instead of learning SQL, I will get to it, I swear.)

The repos below are the output of that. (I am currently fighting Google Colab environment dependencies as I attempt to learn MLOps workflows - Colab is winning at the time of writing)

• 📫 How to reach me: ashri@sissa.it, or, equivalently bookreaderanant@gmail.com (who amongst us has not made an email they don't regret).