Personal details
Jae H.
Timezone: Central Time (US & Canada) (UTC-5)
Summary
I am a self-starter, self-taught developer who loves to game and stay active in his free time. I have always loved solving problems (math nerd), and data science / ML have been my obsession for the past 4 years.
My latest obsessions have become trying to solve as many project euler problems that I can, and breaking 80 in a round of golf. I am a ML Candidate for an MA @ Georgia tech, and I am constantly searching for answers in a world full of questions :)
"If You Can't Explain it to a Six Year Old, You Don't Understand it Yourself"
Work Experience
Software Engineer
Charles Schwab | Apr 2019 - Present
Python 3
Apache Spark
Splunk
Apache Beam
Dataflow
Pubsub
Ai platform
Vormetric
Designed the overall architecture for a machine learning project in cybersecurity to mitigate credential stung attacks using Google Dataflow, Pub-Sub, GCS, and AI Platform. ● Lead efforts to obtain real-time log in event data for big data pipelines using Apache Beam and Python ● Translated models from Apache Spark to Apache Beam for use in credential stuffing models ● Create Splunk Dashboards for investigating hours saved by automation and other SIEM products (Phantom, Proofpoint Trap)
Sr. Software Engineer
IBM Softlayer | Apr 2018 - Apr 2019
Linux
NumPy
Matplotlib
Pandas
Red Hat
Python 3
pytest
Keras
Seaborn
Designed and implemented a randomized testing algorithm to mimic real-time failures for virtual server offerings at SoftLayer. ● Implemented wide-coverage test automation suites in Python, Php, to minimize code failures in QA and Production. ● Researched and implemented a neural network for binary classification to predict VSI failures, based on popular customer configurations. ● Leveraged data science tools such as Numpy, Pandas, Matplotlib, Seaborn, for EDA and deep-dive analysis