🎓 MS CS @ Georgia Tech (Data Science) | 💼 ML Engineer @ Pattern | 🏆 9x Hackathon Champion
🔗 Website • 📧 sunguard9509@gmail.com • 📱 385-283-7793 • LinkedIn

• Full stack software engineer & AI researcher (web, mobile, ML/AI)
• 4x U.S. Patent holder in AI: content gen, video gen, robotics, GUI
• 7x Guest Speaker at World Class AI & ML Conferences including Nodes 2025, MLCon 2025, MLOps 2025
• 9x 1st Place Hackthon Winner at national AI & ML & Robotics Conferences
• Built production ML systems generating $10M+ value, saving $6M+, and speeding ops 87%
• Passionate about AI/ML (PyTorch, TensorFlow), Robotics, and web dev (Next.js, React, TypeScript)
• Veteran with leadership, training, and ops excellence (U.S. Army, ARCOM x2, Best KATUSA)

• 🥇 1st – 2025 Innovation Cup Accelerate 25 (Portal)
• 🥇 1st – 2025 Innovation Cup Accelerate 25 (TrendVision)
• 🥇 1st – 2025 Utah AI Hackathon
• 🥇 1st – 2024 justbuild.ing Hackathon
• 🥇 1st – 2024 BYU Capstone ML
• 🥇 1st – 2024 BYU ACM YHack (Benny Award)
• 🥇 1st – 2023 BYU ITCSA (Robotics)
• 🥇 1st – 2022 BYU ACM YHack
• 🥇 1st – 2017 DIPA IoT Hackathon (Korea)
• 🏅 Pattern 2024 Employee of the Year (1st of 1,780)

Pattern (Apr 2023 – Present) – Machine Learning Engineer

• Architected an agentic ReAct platform with CrewAI and Bedrock AgentCore showcased at AWS re:Invent 2025; built a fault-tolerant Redis + Airflow pipeline processing 104k+ SKUs, driving a 13% conversion lift across a $2.4B portfolio
• Led a 10-engineer team to launch TrendVision, a multimodal GenAI platform from 0 → 1; built cloud-based generative video/audio services for 200+ enterprise brands with 6-minute latency per video
• Engineered JAX-based RLHF pipelines using GRPO for automated prompt tuning, achieving >80% brand preference in blind A/B tests vs baseline Amazon SEO copy
• Reduced manual workloads by 96% by building a robotic capture system (Sony SDK, ggCNN, C++) feeding real-time physical data into Gemini 3 (Nano Banana Pro) and LoRA workflows
• Improved IT support resolution time by 87% using a hybrid RAG pipeline (semantic + lexical search) with Pinecone, OpenAI embeddings, Slack, Ruby, Snowflake, and GPT-4o
• Built a Flink + ClickHouse streaming pipeline processing 12M+ daily updates, reducing TikTok Shop latency by 95% with auto-scaling compute and Redis caching

Iris AI (Dec 2024 – Feb 2025) – Software Engineer

• Developed an agentic tool-calling orchestration framework (MCP-like) using AWS Lambda and EventBridge to power real-time user workflows across Apple LiveChat and Twilio
• Boosted user engagement by 27% by architecting a scalable AI reminder API using AWS Lambda, SQS, and OpenAI
• Resolved 20+ critical messaging bugs impacting 2M+ users across production chat integrations

Sandia National Laboratories (Sep 2023 – Apr 2024) – Machine Learning Engineer

• Led R&D for “insyt,” a 67M-parameter DistilBERT model optimized for on-device intrusion detection, achieving 89.7% accuracy on edge hardware
• 1st Place Winner – BYU Capstone Celebration Competition in Machine Learning
• Built an NLP intrusion detection framework using React, Keras, Redis, and Flask, including N-Gram EDA on AIT Log Data Set V2.0
• Deployed open-source model libraries to HuggingFace and PyPI

Converus (Jun 2023 – Sep 2023) – Software Engineer

• Built admin dashboards and premium test result pages using GraphQL, Firebase, Firestore, Next.js, and TailwindCSS
• Integrated Split.io and Google Analytics to improve behavioral analytics and ad tracking

Podflow (Mar 2023 – Jun 2023) – Software Engineer

• Deployed a real-time audio editor enabling text-to-speech and speech-to-text using Amazon Transcribe, AWS Lambda, Python, React, and Node.js

BYU DRAGN Lab (May 2022 – Apr 2023) – Research Assistant II

• Built a Transformer-based Small Language Model (SLM) full-stack app using PyTorch, Neo4J, React, and Flask
• Invented an autonomous AI farming robot with Lidar, humidity sensors, and real-time vision-based weed/fertilizer management

Leftovers (Nov 2022 – Jan 2023) – Software Engineer

• Built a real-time business dashboard using React, Next.js, TypeScript, Rust, PostgreSQL, Supabase, and TailwindCSS
• Designed scalable CRM APIs and relational databases in Rust + PostgreSQL

Sandbox (Mar 2023 – Jun 2023) – Levinthal Fellow | Software Engineer

• Selected as 1 of 15 Levinthal Fellows ($2,000 scholarship) for high-impact startup founders
• Built and competed in the BYU Sandbox Hackathon, focusing on startup storytelling and tech innovation

BYU Broadcasting (Mar 2022 – Nov 2022) – Software Engineer

• Built a serverless video/audio processing pipeline using AWS CDK, ECS Fargate, Lambda, and Step Functions
• Reduced CI/CD deployment time by 40% through Docker-optimized CDK pipelines
• Implemented YouTube-style live stream rewind using EdgeCast API, Video.js, and Vue.js
• Contributed to BYU TV and BYU Radio Android apps using Kotlin and RxJava

US Army (Mar 2019 – Sep 2020) – Operational Specialist

• Evaluated training performance for 1,800+ soldiers annually at the Eighth Army NCO Academy
• Authored operational manuals and led teams of 18–20 soldiers in South Korea
• Awarded Army Commendation Medal (ARCOM), General Paik Sun-Yup Leadership Award, and KATUSA of the Year 2019

🎤 Guest Speaker

• Prompt Engineering 2025 - "AI-Powered Content Automation for E-commerce Success"
• Nodes 2025 - "Knowledge Graph–Driven Feedback Loops to Optimize TikTok Shop Video MarketingKnowledge Graph–Driven Feedback Loops to Optimize TikTok Shop Video Marketing"
• MLCon NYC 2025 – “From Model to Market: Deploying Generative AI Video & Audio Systems at Scale”
• MLOps 2025 - "TrendVision: An End-to-End Guide to AI-Powered Marketing Video Generation SaaS Deployment"
• Global Data & AI Conf 2025 – Full-stack AI App Deployment with Terraform + FastAPI
• AUTOFARM 2025 – Robotics + Agriculture AI
• BSidesSLC 2025 – “LLM-Powered Intrusion Detection”

🧑‍⚖️ Hackathon Judge

• University of Utah (Jun 2025) – “A Breadth of Fresh Air” AI Hackathon
• JustBuild (Mar 2025) – Multi-Modal AI Hackathon

🎓 Student Leadership

• Georgia Tech (2025–Present) – Student Advisory Council
• BYU KBSA (2023–2024) – Tech President
  • Built KBSA’s first official website (Next.js, Supabase)
  • Led multi-channel event marketing + LinkedIn

1. Cross-Channel AI Marketing Gen (No. 108028-35)
2. Automated Content Creation (No. 108028-12)
3. Image Gen for ML Training (No. 108028-39)
4. Robotic Photography Interface (No. 108028-46)

U.S. Army – Operational Specialist (Jan 2019 – Sep 2020)
Gyeonggi-do, South Korea • Eighth Army NCO Academy

• Coordinated operation orders, wrote manuals for unit task performance, and trained 1,800+ soldiers annually (BLC & KATUSA)
• Evaluated operational performance during major training exercises
• Supported mission-readiness for a 20-person unit

Notable Awards & Honors

• 🥇 ARCOM (x2) – Army Commendation Medal from LTG Bills & Eighth Army HQ
• 🏅 General Paik Sun Yup Leadership Award – For contributions to the non-commissioned officer corps
• 🏆 Best KATUSA of the Year 2019 – Republic of Korea Army Support Group
• 🎖 Challenge Coins – 8A CG, ROKA Commander, NCOA Commandant (x2)
• 🔫 Weapon Expert, 💪 PT Master
• 🎓 Distinguished Honor Graduate – KTA, Honor Graduate – KATC
• 🥇 Iron Soldier Award