Open to opportunities

Sihoon
Sung

CS senior at Stony Brook University with experience in computer vision and deep learning — building models and products that bridge AI with real-world problems.

Sihoon Sung
Focus
Computer Vision
Community
200+ Members

Who I am

Computer Science senior at Stony Brook University with hands-on experience in deep learning for computer vision — CNNs and Vision Transformers in PyTorch — and a background in network infrastructure from military service.

Interested in vision-based inspection, quality control, and building software that bridges AI with real-world problems. I also lead CO;Ders Us, a 200+ member coding community connecting US and Korean developers.

Education

B.S. in Computer Science
Stony Brook University · Expected May 2026

Focus Area

Computer Vision & Deep Learning
Vision-based inspection & quality control

Location

East Patchogue, New York

Experience & Education

Education

2020 – 2026 (Expected)

Stony Brook University

B.S. in Computer Science

Relevant Coursework: Computer Vision, Machine Learning, Data Structures, Algorithms, Computer Networks, Network Security, Databases, Software Engineering.

Experience

Jan 2021 – Present

Chief Executive Officer

CO;Ders Us (Nonprofit)

Founding member serving as Executive Director since 2021 and CEO since 2024. Lead a 200+ member community, manage 10 volunteer leads, and run project-based learning tracks in Web/App, AI, and CS fundamentals. Building a US–Korea network for joint hackathons.

Aug 2024 – Oct 2024

Web Developer Intern

Haeun EnC

Developed and maintained company websites using modern web technologies. Improved front-end UI and implemented responsive designs for optimal user experience across devices.

Oct 2022 – Jul 2024

Network & Telecommunications Specialist

Republic of Korea Air Force

Set up, maintained, and troubleshot secure network infrastructure, servers, and communication equipment including SATCOM. Performed routine inspection and preventive maintenance to minimize downtime.

Relevant Coursework

Computer Vision
Machine Learning
Computer Networks
Network Security
Databases
Software Engineering
Data Structures
Algorithms

Technical Skills

Tools and technologies I work with to build intelligent, production-ready systems.

Computer Vision & ML

PyTorch OpenCV timm ResNet Vision Transformer (ViT) CNN EfficientNet YOLO Detectron2 Spike-Driven Transformer Transfer Learning Data Augmentation Google Vision API GPT-4V Image Preprocessing NumPy Pandas Matplotlib

Languages

Python JavaScript TypeScript Java C Swift SQL Bash

Frameworks & Tools

React Node.js SwiftUI Git Linux Docker MySQL MongoDB Wireshark REST API Jupyter CUDA

Selected Work

CSE 327 · Computer Vision

Movie Genre Classification

Compared ResNet-18, ViT-Base/16, and Spike-Driven Transformer on a 40K+ Kaggle poster dataset for multi-class genre classification across 25 categories. Built the full data pipeline with ImageNet normalization and Poisson spike-encoding for SDT input.

Ingredient Recognition & Recipe Recommendation

BABSIM

Web app that identifies ingredients inside a user's fridge from a photo and recommends recipes. Integrated Google Vision API for object detection and GPT-4V for OCR on packaged food labels to improve ingredient coverage for processed items.

iOS Dashboard for Personal AI Agent

Friday

iOS companion app for OpenClaw, an open-source project that turns a personal computer into an AI agent. Dashboard displays live task and agent execution status and lets users inspect run history from their phone.

CSE 316 · Baseball Community Platform

Dugout

Community web app with player and team stat pages, user accounts, and discussion threads. Built a normalized MySQL schema with query optimization for common lookups.

Let's work
together

I'm always open to discussing research opportunities, new projects, or collaborations. Feel free to reach out through any of the channels below.

Available for opportunities

Open to research & engineering roles

Graduating May 2026 and actively exploring full-time positions in computer vision, deep learning, and software engineering.

Send a Message