Experience

Verily

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Software Engineer

  • Feb 2020 - Present

  Built full stack web applications for Onduo (to help patients manage chronic health conditions) and for the Verily lab team (to test COVID19 samples) Built full stack web applications for Onduo (to help patients manage chronic health conditions) and for the Verily lab team (to test COVID19 samples)



Sequoia Capital

• United States
• Venture Capital and Private Equity Principals
• 200 - 300 Employee

• Campus Ambassador

  • May 2018 - Dec 2019

  Facilitate the connection between Sequoia and Georgia Tech students by supporting entrepreneurship on campus and connecting technical talent to portfolio companies Facilitate the connection between Sequoia and Georgia Tech students by supporting entrepreneurship on campus and connecting technical talent to portfolio companies



Mango Health

• United States
• Wellness and Fitness Services
• 1 - 100 Employee

• Software Engineer Intern on Data Team

  • May 2019 - Aug 2019

  ¥ Created data pipeline in Ruby to populate database with CSVs and to flag corrupted files received from a third party partner ¥ Developed backend API and admin views to support new features using Django REST Framework ¥ Wrote SQL queries to analyze app performance, and gain insight into user and community engagement ¥ Created data pipeline in Ruby to populate database with CSVs and to flag corrupted files received from a third party partner ¥ Developed backend API and admin views to support new features using Django REST Framework ¥ Wrote SQL queries to analyze app performance, and gain insight into user and community engagement



IBM

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Software Developer Internship

  • Apr 2018 - Oct 2018

  • Using Streamsets to stream DNS data to Kafka, and use Spark do real-time and batch analysis on the DNS queries • Implementing a LSTM network to flag malicious requests, especially those created by DGAs, using Keras • Unified the collection and processing of data, which was previously analyzed from separate sources by cyber security specialists • Creating help desk ticket data classification using K-means clustering and Bag-of-Words with Scikit-learn to save help desk agents time in… Show more • Using Streamsets to stream DNS data to Kafka, and use Spark do real-time and batch analysis on the DNS queries • Implementing a LSTM network to flag malicious requests, especially those created by DGAs, using Keras • Unified the collection and processing of data, which was previously analyzed from separate sources by cyber security specialists • Creating help desk ticket data classification using K-means clustering and Bag-of-Words with Scikit-learn to save help desk agents time in assigning issues. Show less • Using Streamsets to stream DNS data to Kafka, and use Spark do real-time and batch analysis on the DNS queries • Implementing a LSTM network to flag malicious requests, especially those created by DGAs, using Keras • Unified the collection and processing of data, which was previously analyzed from separate sources by cyber security specialists • Creating help desk ticket data classification using K-means clustering and Bag-of-Words with Scikit-learn to save help desk agents time in… Show more • Using Streamsets to stream DNS data to Kafka, and use Spark do real-time and batch analysis on the DNS queries • Implementing a LSTM network to flag malicious requests, especially those created by DGAs, using Keras • Unified the collection and processing of data, which was previously analyzed from separate sources by cyber security specialists • Creating help desk ticket data classification using K-means clustering and Bag-of-Words with Scikit-learn to save help desk agents time in assigning issues. Show less