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Backend Software Engineer
X
Responsibilities include:
Migrated infrastructure to a new data center
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Education
PhD Artificial Intelligence
Stanford University
Thesis on Why LLMs are awesome. Supervised by Prof Joe Smith. Presented papers at 5 IEEE conferences with the contributions being published in 2 Springer journals.
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
Gain an in-depth understanding of the specific mechanics of Bitcoin
Understand Bitcoin’s real-life applications and learn how to attack and destroy Bitcoin, Ethereum, smart contracts and Dapps, and alternatives to Bitcoin’s Proof-of-Work consensus algorithm