TAEYANG KIM

Machine Learning
Engineer

Software Engineering Machine Learning Natural Language Processing

Key Achievements

4U.S. Patents
7xHackathon Champion
2Hackathon Judge
6+Major Awards
4AI Conference Speaker

A rising star in the AI industry, this Machine Learning Engineer has a proven track record in delivering high-impact solutions across Computer Vision, NLP, Robotics, and Generative AI. With 4 U.S. patents and as a speaker at 4 different AI conferences, they are recognized for building scalable, end-to-end AI products that drive significant business value.

Experience?

Experience

Pattern

Machine Learning Engineer

Apr 2023 - Present

  • Created a C++/Crow-based robotic image capture system (25 images/min) for AI training with a robot arm and Sony Remote SDK (US patent)
  • Led and launched TrendVision (AI marketing trend analysis + video generation platform) as a lead of 10 senior/staff engineers – later featured at Accelerate '25 in front of 1,500+ audience (US patent)
  • Built and deployed global editing tool (Streamlit + Snowflake) for AI product content briefs; used daily by 30+ engineers (US patent)
  • Delivered $20M+ value across 200+ brands via AI content generation tool (Amazon extractor + DTC analyzer + Figma)
  • Cut $6M in costs by building RAG-based AI ticket resolution (OpenAI, Snowflake, GPT-4o); 87% faster resolution

Sandia National Laboratory

Machine Learning Engineer

Sep 2023 - Apr 2024

  • 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

Patents

System and Method for a Robotic Photography Control Interface

US 108028-46 · Filed Jun 24, 2025

EXPEDITED IMAGE GENERATION FOR TRAINING MACHINE LEARNING MODELS

US 108028-39 · Filed Jun 24, 2025

Self-Learning AI Systems for Automated, Scalable, Targeted, and Highly Persuasive, Cross-Channel Marketing Content Generation

US 108028-35 · Filed May 15, 2025

SYSTEMS AND METHODS FOR AUTOMATED CONTENT CREATION

US 108028-12 · Filed Mar 10, 2025

Publications

TrendVision: An End-to-End Guide to AI-Powered Marketing Video Generation SaaS Deployment

ML Conference New York 2025 · May 15, 2025

Reinventing Network Security: LLM-Powered Intrusion Detection Systems

2025 BSidesSLC · Apr 10, 2025

Volunteer Experience

MLcon

Guest Speaker

MLcon · May 2025 - Present

  • Guest Speaker at ML Conference at New York 2025
DataGlobal Hub

Guest Speaker

DataGlobal Hub · May 2025 - Present

  • Guest Speaker at Global Data & AI Virtual Tech Conference 2025
Agriculture Events by IQ Hub

Guest Speaker

Agriculture Events by IQ Hub · Jun 2025 - Present

  • Guest Speaker at AUTOFARM 2025
University of Utah

Hackathon Judge

University of Utah · Jun 2025

  • Served as a judge at 2025 "A Breadth of Fresh Air AI Hackathon"
BSidesSLC

Guest Speaker

BSidesSLC · Apr 2025 - May 2025

  • Guest Speaker at the BSidesSLC 2025
JustBuild

Hackathon Judge

JustBuild · Mar 2025

  • Served as a judge for the 2025 Multi Modal AI Hackathon
Georgia Institute of Technology

Student Advisor

Georgia Institute of Technology · Feb 2025 - Present

  • 2025 Student Advisory Council
BYU Korea Business Student Association (KBSA)

Tech President | Software Engineer Lead

BYU Korea Business Student Association (KBSA) · Jan 2023 - Apr 2024

  • Built the first KBSA official website from scratch with NextJS, React, TailwindCSS, and Supabase (PostgreSQL)
  • Advertised KBSA events through different marketing channels and manage LinkedIn account
The Church of Jesus Christ of Latter-day Saints

Full-Time and Self-Paid Volunteer

The Church of Jesus Christ of Latter-day Saints · Apr 2015 - Mar 2017

  • Led groups of 14~22 volunteers, conducted weekly training meetings, followed up on goals, and created weekly progress reports.
  • Planned, organized, and taught 10 workshops on goal setting, relationship building, and leadership skills.

Projects?

Projects

TED the Bear – AI-Powered Therapy Robot

🏆 1st Place Winner – Utah AI Hackathon (186 Teams). An AI-powered therapy robot providing emotional support through real-time speech recognition, personalized counseling, interactive gestures, and a software avatar.

AI-Driven Roofing Solutions for Sustainable Building

An innovative solution for the roofing industry combining AI, ML, and satellite imagery to streamline analysis, assess solar energy potential, and generate personalized AI quotes for sustainable building practices.

Glöd AI - AI Product Marketing Video Generation (2024 Google Gemini API Hackathon Competition)

An innovative AI-powered platform that transforms product photos, descriptions, and dimensions into compelling marketing videos in just a few clicks, featuring a free trial for users to experience the service.

G-TRAVEL - Gemini AI Travel Planner (2024 Google AI Hackathon Competition)

A comprehensive travel planning app using Google's Generative AI, integrating various APIs like Booking.com, SkyScanner, and TripAdvisor to provide a seamless travel planning experience.

Innovative Network Security Technology (INSyT)

🏆 Achieved 1st Place at 2024 BYU Capstone Celebration in Machine Learning. Built a full-stack python package (insyt) and web app that achieved 98% accuracy on classifying log data for multi-label network intrusion.

Swift Shorts - AI Shorts Generation and Video Analytics Tool

An AI tool that automatically generates 3 shorts from one long video, provides AI-generated transcripts, titles, and descriptions, and includes an analytics system for personalized video suggestions.

AI Korean Dating App

Successfully led the development of a dating app from concept to completion in just 3 months with a dedicated team of 7 engineers and designers, featuring user authentication, profiles, likes/favorites, and search filters.

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 KBSA Official Website (NextJS + TailwindCSS + Supabase + TypeScript)

Built and maintained the first official website for the BYU Korea Business Student Association using NextJS, React, TypeScript, and Supabase, managing a web development team of 3.

Smart Farming Robotics

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

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.

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.

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

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 Capital One

img

Let’s work together🔥

Mail

k2289@byu.edu

Address

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

Phone

+1 385 283 7793