- Currently pursuing a Master's degree in Software Engineering at Northeastern University.
- I'm on track for learning more about Artificial Intelligence, Systems Design, and Cloud Architecture.
- How to reach me: [email protected]
- Fun fact: I've visited more than 56 countries.
- AI Software Development
- Machine Learning
- Built AI-agent travel chatbot with Agno, Groq, and ChromaDB; fine-tuned model weights and open-sourced them.
- Open source contributor to notable open-source projects including:
- HuggingFace Transformers
- LangChain
- JAX
- Studied the foundational paper "ZeRo" and implemented a DeepSpeed + PyTorch project for efficient distributed training and evaluation, optimizing resource usage and training speed for large-scale deep learning tasks.
- Implemented data parallelism for MNIST training with JAX's shardmap sharding API and contributed to OSS JAX.
- Built and extended Micrograd, a minimal autograd engine, as part of self-study of Karpathy's Zero to Hero series:
- Implemented the
Valueclass, topological sort–based backpropagation, and dynamically constructed computation graph (DAG). - Added custom operations (e.g., exponentiation, ReLU, tanh), visualized graph structures, and built training loop for an MLP.
- Reinforced understanding of the chain rule, gradient descent, and autograd principles through end-to-end implementation.
- Implemented the
- AI project to plan travel itineraries.
- Built with Python and machine learning to provide personalized travel recommendations.
2. micrograd
- Neural network implementation in Python.
- Focuses on understanding how neural networks work by implementing backpropagation from scratch.
- Learning by building. Learn by sharing.
- This repository contains weekly solutions to Data Structures and Algorithms (DSA) challenges.
- The model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models for both inference and training.
- Contributed to the open-source community by improving the usability and performance of this powerful library.
- Python, PyTorch, TensorFlow
- Digital marketing project based on the Solar Sisters initiative to promote sustainable energy solutions.
- Python, Data Analysis, Marketing
- Large-scale deep learning model training and evaluation with DeepSpeed and PyTorch.
- DeepSpeed, PyTorch, Machine Learning
7. transformers
- The model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models for both inference and training.
- Contributed to the open-source community by improving the usability and performance of this powerful library.
- Python, PyTorch, TensorFlow