| Online Courses & Certifications |
CS224W: Graph Neural Networks
Stanford University (Online)
Fall 2024
Completed
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Graph neural networks, message passing, applications to social networks and drug discovery.
Instructor: Prof. Jure Leskovec
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CS230: Deep Learning
Stanford University (Online)
Fall 2024
Completed
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Neural networks, CNNs, RNNs, attention mechanisms, transformers.
Instructors: Prof. Andrew Ng,
Prof. Andrej Karpathy
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CS229: Machine Learning
Stanford University (Online)
Summer 2024
Completed
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Supervised/unsupervised learning, SVMs, neural networks, reinforcement learning.
Instructor: Prof. Andrew Ng
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DeepFindr Graph Neural Networks
DeepFindr (Online)
Winter 2024
Completed
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Advanced GNN architectures, graph pooling, equivariant networks.
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I will elaborate on my IIT Delhi coursework in the future :)
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Programming Languages
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Proficient: Python, C/C++, OCaml
Familiar: VHDL, Rust, Lean, Coq
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Machine Learning Tools
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PyTorch, TensorFlow, PyTorch Geometric (PyG), NetworkX, scikit-learn, Pandas, NumPy
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Specialized Libraries
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RDKit (molecular informatics), DeepChem (chemical property prediction),
DGL (Deep Graph Library), JAX (scientific computing)
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Development Tools
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Git/GitHub, Docker, Jupyter Notebooks, LaTeX, Linux/Unix systems,
Cloud Computing (AWS, Google Colab)
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Overall CGPA: 3.4/4.0 (IIT Delhi)
Class Rank: Top 7% (Merit Award recipient)
Notable Achievements:
- IIT Delhi Semester Merit Award (Top 7% in institute) - 2024
- Perfect scores in several courses
- Active participation in research projects alongside coursework
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