THE PERSONAL ARCHIVE

Coursework.

A foundation in computer science, and an ongoing appetite for everything else.

Online Courses & Certifications

CS224W: Graph Neural Networks
Stanford University (Online)
Fall 2024
Completed

Graph neural networks, message passing, applications to social networks and drug discovery.
Instructor: Prof. Jure Leskovec

CS230: Deep Learning
Stanford University (Online)
Fall 2024
Completed

Neural networks, CNNs, RNNs, attention mechanisms, transformers.
Instructors: Prof. Andrew Ng , Prof. Andrej Karpathy

CS229: Machine Learning
Stanford University (Online)
Summer 2024
Completed

Supervised/unsupervised learning, SVMs, neural networks, reinforcement learning.
Instructor: Prof. Andrew Ng

DeepFindr Graph Neural Networks
DeepFindr (Online)
Winter 2024
Completed

Advanced GNN architectures, graph pooling, equivariant networks.

I will elaborate on my IIT Delhi coursework in the future :)

Programming Languages

Proficient: Python, C/C++, OCaml
Familiar: VHDL, Rust, Lean, Coq

Machine Learning Tools

PyTorch, TensorFlow, PyTorch Geometric (PyG), NetworkX, scikit-learn, Pandas, NumPy

Specialized Libraries

RDKit (molecular informatics), DeepChem (chemical property prediction), DGL (Deep Graph Library), JAX (scientific computing)

Development Tools

Git/GitHub, Docker, Jupyter Notebooks, LaTeX, Linux/Unix systems, Cloud Computing (AWS, Google Colab)

Overall CGPA: 3.4/4.0 (IIT Delhi)
Class Rank: Top 7% (Merit Award recipient)
Notable Achievements: