Optimized Ocean smart contract gas fees by 3%, resulting in cost savings for the company.

Developed NFT minting smart contract used by customers to mint 47k+ NFTs for the Government Toucan airdrop.

Reduced slippage costs with Python simulations of coin swaps for Shell stablecoin pools.

Helped migrate the video AI inference platform off of the cloud using AWS (S3, SQS, EKS), Kubernetes, and Docker, enabling government and security agencies to protect privacy of their video content.

Wrote performance tests in Python for an internal configuration caching system. Used by senior engineers to measure performance of the caching system during its development.

Designed the AI curriculum.

Lectured on ML to the cohort of incoming students.

More at roddurdasgupta.com/cais

Taught machine learning concepts to an intermediate group of students in the Fall 2019 cohort of CAIS++.

Topics include:

• Linear and logistic regression

• classification: kNN, Naive Bayes, decision trees, random forest

• Image classification

• Sci-kit learn

• Neural networks (high-level ideas, Keras API)

• CNNs

• RNNs / LSTMs

• GANs