Nathan K.

Software Engineer

1 yr 2 mos experience

Key Highlights

Strong software generalist with impactful internships.
Experience in building distributed systems.
Published research on crime factors using machine learning.

Stackforce AI infers this person is a Software Engineer with a focus on distributed systems and machine learning in SaaS and cybersecurity.

Contact

Skills

Core Skills

Software DevelopmentDistributed SystemsMachine LearningData Science

Other Skills

KafkaCLIUser ExperienceC#ScalaMicrosoft SQLEventHubsAzure Cloud ServicesPythonMatlabRGo (Programming Language)Object Oriented DesignAlgorithmsData Structures

About

Hello! I'm Nathan, a senior studying computer science at Carnegie Mellon University. I'm a strong software generalist and I have experience building high quality and customer impacting production level software in the internships that I have been part of. I am interested in building distributed systems and bringing customer value from well designed systems infrastructure. If you are a recruiter, I would love to work for a team/company that emphasizes mentorship and work alongside smart, humble and empathetic people who would love to be friends just as much as co-workers! if you are not a recruiter, feel free to connect with me and I would love to get in touch!

Experience

1 yr 2 mos

Total Experience

4 mos

Average Tenure

Current Experience

Confluent

2 roles

Software Engineer

Aug 2021 – Mar 2022 · 7 mos · Mountain View, California, United States

Software Engineer Intern

Jun 2020 – Aug 2020 · 2 mos · Mountain View, California, United States

Developed kafka topic management functionalities in the Confluent on premise CLI, a drastic UX improvement from Apache Kafka shell scripts and has high customer impact: similar functionality in cloud CLI accounts for 16% of CLI usage.
Filled specification gap by exploring the problem space, and drove conversation across multiple teams (4) to deliver this project
Raised the bar on code quality and test quality
Worked remote from Pittsburgh, PA

KafkaCLIUser ExperienceSoftware DevelopmentDistributed Systems

Microsoft

Software Engineering Intern

Jun 2019 – Aug 2019 · 2 mos · Cambridge, MA

Scoped, designed and implemented Intent Check - an automated notification system for confirming suspicious activities as part of a distributed cyber-security machine learning data pipeline monitoring Office 365 data centers using C#, Scala, Microsoft SQL, EventHubs and Azure Cloud Services.
Decreased on-call triage burden and average response time of security monitoring platform from 30 minutes to seconds
edit (Nov. 2019) this feature is now in production and generating alerts real time based on detections!

C#ScalaMicrosoft SQLEventHubsAzure Cloud ServicesMachine Learning+1

Carnegie mellon university

Teaching Assistant

Aug 2018 – Dec 2018 · 4 mos · Pittsburgh, Pennsylvania

Teaching assistant for Principles of Imperative Computation (15-122)
Received 5/5 student rating and 100% positive student response.
Led lab, hosted office hour on assignments such as implementing a text editor, Huffman encoding and a stack evaluator.

Hebron (startup)

Software Engineer Intern

Jun 2018 – Aug 2018 · 2 mos · Taipei City, Taipei City, Taiwan

Ported and developed a proprietary fully automated trading system from Matlab to Python

PythonMatlabSoftware Development

Academia sinica, taiwan - data insights research lab

Data Science Research Intern

May 2016 – Aug 2016 · 3 mos · Taipei City, Taipei City, Taiwan

Constructed machine learning model to identify factors of crime occurrence in Taipei City using R.
Published, as lead author, paper titled: “Exploring Spatial and Social Factors of Crime: A Case Study of Taipei City” to 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS).

RData Science