• Deploying and maintaining all external integrations in a hyper-growth startup's Automation Team.

Performing among the top 50% of GitHub contributors.

• Developing backend architecture utilizing Ruby on Rails with GraphQL to design large, scalable

models with complex associations through meticulous database migrations.

• Owning and implementing medium and large-scale features for customer-facing solutions through

employing external and developing internal APIs.

• Debugging over 300 customer-reported issues on a selective team to improve product quality,

resulting In ~40% reduction in customer complaints.

• Writing over 3000 lines of Rspec for unit and integration testing, enhancing code coverage.

• Researched Semi-Supervised models for Nonnegative CP Decomposition of Tensors (SSNCPD: a

form of tensor factorization) using TensorFlow, PyTorch, and NumPy backends.

• Co-led a software team in developing an open-source Python package of multiplicative update

methods for SSNCPD. Experimental errors fluctuated around 4% at the time of completion.

• Tested our package on echo-cardiogram videos that were preprocessed into tensors with

packages from OpenCV and raw data tensors from Kaggle which are imported using pyTaco.

• Formally "HADD Research Group".

• Promoted in just 3 months due to self-led project initiatives that increased enrollment by 15%.

• Initiated development of a student data system using MySQL from 100s of JSON files, utilizing

student data to improve instruction.

• Spearheaded a new curriculum in Keras for machine learning, exceeding enrollment

expectations 300% due to high student engagement.

• Utilized Scratch, Keras (Python), Javascript, and Java for instruction.