TAEYANG KIM

NLP Researcher and ML Engineer

Software Engineering Machine Learning Natural Language Processing

Skills?

Skills & Certifications


Languages

Python

JavaScript

TypeScript

Ruby

SQL

Java

C++

Rust

HTML

CSS

Frameworks

React

Vue.js

Node.js

Ruby on Rails

Docker

TailwindCSS

Databases

PostgreSQL

S3

DynamoDB

Firebase

MongoDB

Supabase

MySQL

SQLite

ML Tools

TensorFlow

PyTorch

Scikit-learn

Numpy

Pandas

⚡ Full-stack software development and machine learning expertise

⚡ Proficient in various programming languages and frameworks

⚡ Experienced in building scalable solutions using REST APIs and microservices

⚡ Find creative solutions to real world problems using software engineering, ML, and NLP skills

Experience?

Experience

Pattern

Machine Learning Engineer

Apr 2023 - Present

  • Won Pattern’s 2024 “Employee of the Year” among 1700 employees, featured by Founder and CEO at Accelerate 24
  • Reduced average IT ticket numbers 75% and resolution time 87% by automating IT ticket resolutions using a RAG from OpenAI embedding with GPT 4o and Snowflake, and comparing its result with fine-tuned GPT 3.5 turbo and LLaMA2
  • Created an AI vision model testing tool with statistics metrics for comparing GPT 4o, 4o-mini, Claude 3, and Claude 3.5 Sonnet implementing Batch Inference Jobs for Claude models overcoming limitations from AWS resources
  • Generated AI summary reports from Slack by building a Slack and a web app using an Amazon Appflow, S3, React, Node
  • Upgraded audience data for AI product content brief using semantic search with Python, Snowflake, SERP, and OpenAI

Sandia National Laboratory

Machine Learning Engineer

Sep 2023 - Present

  • Constructed a basic NLP framework to classify network intrusion using a React, Keras, Redis, and Flask
  • Performed an EDA on the AIT Log Data Set V2.0 with N-Gram and merged attack labels to 8 from 48

Converus

Software Engineer Intern

Jun 2023 - Sep 2023

  • Built an administrator dashboard, premium test result, blog, about, and accuracy pages using GraphQL, Google Firebase, Firestore, Next.js, React.js, Node.js, TailwindCSS with TypeScript and JavaScript
  • Implemented Data Analytics tools such as Split.io, Google Analytics, and Ad Tracker

Podflow

Software Engineer Intern

Mar 2023 - Jun 2023

  • Spearheaded a deployment of a real-time audio editor software for seamless text-to-speech and speech-to-text conversion like Descript using Amazon Transcribe, AWS Lambda, Python, React.js, and Node.js

BYU DRAGN Lab

Machine Learning Researcher & Software Engineer

Mar 2023 - Jun 2023

  • Developed a full stack web app for a LLM model with Flask, React.js, Neo4J, Python, and Tensorflow
  • Invented a farming robot that automatically gives water, fertilizer, weed killer, and moves using Flask, Python, C++, Supabase, Raspberry Pi, Arduino, Lidar sensor, Humidity sensor, DC Motor, Stepper Motor, and Camera

Leftovers

Software Engineer Intern

Nov 2022 - Jan 2023

  • Created a real-time business dashboard displaying critical ad hoc data with an authentication, REST APIs, and UI through React.js, Next.js, TypeScript, Rust, PostgreSQL, Supabase, and TailwindCSS
  • Expertly organized a relational database and RESTful APIs for CRM applying Rust and PostgreSQ

Sandbox

Levinthal Fellow | Software Engineer

Mar 2023 - Jun 2023

  • I competed at the BYU Sandbox hackathon and got accepted into the Sandbox program. Out of the people accepted to the Sandbox program, I was selected as one of the 15 to be a part of the Levinthal Fellows ($2000 Scholarship). This is an experience where we meet with an executive every week and have a fireside chat with them and talk about their story and industry.

BYU Broadcasting

Software Engineer Intern

Mar 2022 - Nov 2022

  • Released a Video Stream-Save V2 with a CI / CD pipeline using AWS CDK2 to enable lambda versioning
  • Reduced Video Stream Save Service CI / CD Time by 40% resulting in faster delivery of content to users through a Node, Docker, AWS Lambda, Amazon S3, DynamoDB, ECS, MySQL, and Step Functions
  • Executed multiple Unit, Integration, and E2E tests operating Amazon CloudWatch, Jest, and Axios

Projects?

Projects

Slack IT Ticket Escalation Channel AI Report Generation

Structured a full stack ML app by building a data pipeline with Amazon Appflow and Slack app and feed the data to S3 and built a prompt for OpenAI to classify the data and generate a report on React app on AWS Amplify

BYU Korea Business Student Association Official Website

Enabled Korean students to share information and receive help by building an online platform with blog and auth using React.js, Express.js, TypeScript, PostgreSQL, TailwindCSS, Amazon S3, Google Auth, and MongoDB

Influtelligence - Influencer Marketing Platform

Influtelligence is a Marketing Dashboard project centered around tracking paid influencers' performance. It includes the React frontend with TailwindCSS. Additionally, a Flask API was implemented to gather crucial social media metrics in real-time and stored them on PostgreSQL Database.

AI Farming Robot

Invented a farming robot that gives water, fertilizer, weed killer, and moves using Flask, Python, C++, Supabase, Raspberry Pi, Arduino, Lidar, Humidity sensor, DC Motor, Stepper Motor, and Camera

Vivint Website Upgrade Project

Developed two webpages, "Find My Vivnt Plan" and "Check My House Safety," using JavaScript, CSS, and HTML, each offering unique functionality. These pages incorporate JavaScript functions that interact with the Document Object Model (DOM), enabling features like a countdown timer, video integration, and line breaking for improved user experience and functionality.

Family Tree Mobile Java App

Developed a Java Mobile App that embodies the power of Object-Oriented Programming, Android Studio development, and robust backend integration. This app seamlessly generates synthetic family data and ingeniously maps them together using the Google Maps API. Leveraging SQLite for efficient data management, it offers full CRUD (Create, Read, Update, Delete) functionality.

Testimonials

Taeyang is passionate about his work. He demonstrates this by eagerly learning new technologies and writing resilient code. He is able to synthesize complex design patterns because he takes the time necessary to thoroughly understand a problem. Because of his work ethic, he has the competency to release software that satisfies the needs of thousands of customers per day. Taeyang is a pleasant person to be around. He understands how to give and receive feedback. Taeyang will be an excellent addition to your team.

Naataanii TsosieSr Software Engineer at BYU Broadcasting

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Let’s work together🔥

Mail

k2289@byu.edu

Address

104 W 1230 N st, Provo, UT, US, 84604

Phone

+1 385 283 7793