Implemented realtime system usage event capture in the production stack across multiple microservices

Singlehandedly designed and implemented the company’s first iteration of an analytics data processing pipeline in 2019

• Batch ingestion, batch transformation, storage, presentation via BI tools (AWS Quicksights)

• Built with AWS s3, AWS lambda functions, AWS SQS, AWS kinesis firehose, redshift, dbt.

Designed and implemented second iteration of data processing pipeline in 2021 with primary goal of scalability.

• Implemented generalized producer consumer framework that eliminated bottlenecks for scaling the previous pipeline design by streaming data instead of batch processing.

• Reduced latency from event capture to end reporting from 1 hour to < 1 minute.

• Ingested ~1MB/min during peak loads.

• Built with the custom python pipeline framework, AWS SQS, kibana, redshift, dbt, and elasticsearch.

• Gave up to several 1.5 hour long tours of the UC Davis campus every week to groups of 10-50 people.

• Represented the UC Davis student body and persuaded prospective students to attend UC Davis.

• Did it all while walking backwards!

• Designed, developed, and tested distributed software systems and Artificial Intelligence algorithms for Information Security applications.

• Prototyped Machine Learning models using SciKit Learn in iPython Jupyter Notebooks.

• Optimized model parameters and design

• Worked with PySpark and Panda Dataframes

• Performed batch data processing on large volumes of server log data.

• Built data ingestion pipelines for feature engineering

• Designed and optimized feature vectors

• Built online chatbots on Facebook Messenger, Amazon Alexa, Google Home, and proprietary platforms. Wrote dynamic and extensible dialog flows for the chatbots.

• Worked with Docker, Knex SQL, DynamoDb, Redis, CircleCI, AWS S3, and AWS CloudFront.

• Built web applications using HTML/NodeJs/CSS, React, JQuery, Bootstrap, and React Semantic-UI.

• Created algorithms for NLP entity extraction using Google Cloud Platform’s Natural Language API

• Built serverless backend applications on AWS Lambda using the "Serverless" framework.

• Integrated numerous third party API’s via Webhooks.

Chair of the UC Davis student government (ASUCD) Business and Finance Commission.

• Developed MATLAB scripts to analyze large amounts of financial data to supplement the audit of each business unit.

• Managed and lead a team of 12 other students in the following tasks:

• Held weekly commission meetings to evaluate the impact of spending legislation.

• Generated official financial and business recommendations to the ASUCD (student government) Senate on the appropriation of a $14 million dollar budget.

• Performed regular financial audits of 26 on campus Strategic Business Units.