Seongeun So

AI Deployment Engineer @ OpenAI

Seoul, South Korea (KR)

500 connections • 3,313 followers

About

Currently, I am working at OpenAI as an AI Deployment Engineer, where I focus on helping…

Total Experience: 13 years and 10 months

Experience

AI Deployment Engineer - OpenAI (Current)

Jul 2026 - Present (1 month) in Seoul, South Korea

Department: Engineering and Technical

OpenAI is a Research Services company. OpenAI is a company that believes in building safe and beneficial AGI (Artificial General Intelligence) systems to solve human-level problems. OpenAI has 6,000-7,000 employees (+60% YoY) and has annual revenue in the $1B-$2B range, founded in 2015. Headquartered in San Francisco, California, United States. Its workforce is distributed across 88 countries (including United States, United Kingdom, India, Ireland, and Japan). Has $196B in total funding, with 19 prior funding rounds. Research output of 1,000-2,000 works, primarily in Physics and Astronomy, Computer Science, and Social Sciences. Funds research behind 1-10 works.

AI Forward Deployed Engineer - Google

Oct 2024 - Jul 2026 (1 year and 9 months) in Seoul, South Korea

▪ AI FDE @ JAPAC Forward Deployed Engineering team

Department: Engineering and Technical • Level: Specialist

Google (GOOGL) is a Software Development company. Google is a technology company that offers a wide range of services and products to help businesses grow. They provide engineering jobs, artificial intelligence and machine learning, consumer hardware design and build systems, platforms and ecosystems, site reliability engineer, teams, engineering and tech, sales, service and support, and people. Google has 100,000-200,000 employees (1-2% YoY decline) and has annual revenue in the $300B-$400B range, founded in 1998. Headquartered in Mountain View, California, United States, operates in 17 countries (including Australia, Spain, France, Italy, and Switzerland). Its workforce is distributed across 201 countries (including United States, India, United Kingdom, Ireland, and Canada). Has a market cap in the $500B-$600B range. IPO 2004.

Solutions Architect - Amazon Web Services (AWS)

Feb 2022 - Oct 2024 (2 years and 8 months) in Seoul, South Korea

▪ Solutions Architect at World Wide Public Sector ▪ Helps customers use AI/ML technology on AWS

Department: Engineering and Technical • Level: Specialist

Amazon Web Services (AWS) is a IT Services and IT Consulting company. Amazon Web Services (AWS) has 100,000-200,000 employees (+2-3% YoY) and has annual revenue in the $100B-$200B range, founded in 2006. Headquartered in Seattle, Washington, United States, operates in 8 countries (including Japan, Luxembourg, Brazil, United Kingdom, and Italy). Its workforce is distributed across 159 countries (including United States, India, United Kingdom, Canada, and Ireland).

CTO - Remake Digital

Nov 2019 - Feb 2022 (2 years and 3 months) in Seoul, Korea

▪ Digital marketing and AdTech startup funded by Kakao ventures, Fast Investment and SNOW Corp. ▪ As a CTO and the first engineer of the company, I created service named Crolo (crolo.io) and Databrush (databrush.io), which designs creatives for advertisements automatically. Focused on Engine part, which generates image banner based on lots of algorithms like Engineering, Computer Vision, Natural Language Processing, and so on. ▪ I do research and develop, as well as hiring and leading R&D team. Also created development culture and entire dev process. ▪ Left the company after acquisition.

Department: Engineering and Technical • Level: C-Level

Remake is a Software Development company. Remake has 1-10 employees, founded in 2018. Headquartered in Seoul, Seoul, South Korea. Has $431.5K in total funding.

Research Engineer - NAVER Corp

Feb 2016 - Nov 2019 (3 years and 9 months) in Seongnam, Gyeonggi-do, Korea

▪ As a research engineer, I researched about Natural Language Processing, especially Dialogue System which used for CLOVA AI speaker. Focused on Dialogue Management and Language Generation module. Widely used in Korea and Japan. ▪ Also I developed a Video Analysis system using various algorithms like video object detection with tracking, video action recognition, video classification, captioning, STT and lots of mixed NLP and CV techniques. One of system (Homerun detection for KBO) is released to real service and was very successful.

Department: Research • Level: Specialist

NAVER Corp (035420.KS) is a Technology, Information and Internet company. NAVER Corp. is a company that connects the world's all possibilities through technology and services. NAVER Corp has 3,000-4,000 employees (+7-8% YoY) and has annual revenue in the KRW12000B-KRW13000B range, founded in 1999. Headquartered in South Korea, with an office in Seongnam. Its workforce is distributed across 21 countries (including South Korea, China, United States, Japan, and Vietnam). Has a market cap in the KRW30000B-KRW31000B range. IPO 2008.

Research Engineer - SELVAS AI Inc.

Jan 2014 - Feb 2016 (2 years and 1 month) in Seoul, Korea

▪ As a research engineer, researched about Handwritten Character Recognition, Handwritten Math Equation Recognition and OCR. ▪ Most of the system based on LSTM and CNN, also used lots of classical machine learning algorithms like Random Forest and SVM. I improved the performance of engine a lot, and system is widely used by many companies.

Department: Research • Level: Specialist

Software Engineer - NextVerb, Inc

Nov 2011 - Feb 2013 (1 year and 3 months) in Mountain View, CA, USA

▪ Social-based place recommendation service, angel funded startup. ▪ Joined as a co-founder. Experienced about various tasks for Startup like funding, investment, conference presentation / pitching, organizing team and so on. ▪ I created Android application called allTomto. It recommends places based on Facebook data and Google maps location information. We used many social features, collaborative filtering algorithm and clustering POIs to get a good recommendation performance.

Department: Engineering and Technical

Education

Master's Degree Computer Science at Gwangju Institute of Science and Technology

2011 - 2014 (3 years)

BS Electrical at Seoul National University of Science and Technology

2007 - 2011 (4 years)

Skills

adtech • ai (artificial intelligence) • ai deployment • ai prototyping • ai/ml • algorithms • analysis • android • android application development • android development • apac • architect • arm • artificial intelligence • aws • banner • big data • c • c++ • classical machine learning • clustering • collaboration • collaborative filtering • communication • communication framework • computer vision • conference presentation • creatives • cto • data • data mining • deep learning • deployment • deployment engineering • designs • detection • dev • development • dialogue management • dialogue system • digital marketing • education • education research • embedded systems • emulator • engineer • engineering • facebook marketing • fast • fde • forward deployed • forward deployed engineer • forward deployed engineering • framework • fsa • generative ai • genetics • get • google maps • hadoop • hadoop framework • hiring • investment management • java • kakao • language processing • leading • learning algorithms • lstm • machine learning • machine learning algorithms • machine learning techniques • management • maps • marketing • math • mining • mobile applications • mobile development • mobile devices • modeling • mongodb • natural • natural language • natural language generation • natural language processing • nlp • node.js • object detection • optical character recognition (ocr) • organizing • perl • presentation • processing • programming • prototyping • python • r&d • random forest • research • rnn • robust communication • service • servicenow • software development • software engineering • solutions architect • startup • stt • subversion • system engineer • technology • video analysis • vulnerability • vulnerability analysis • well • windows • windows mobile

Languages

Korean - Native or bilingual proficiency

English - Professional working proficiency

Publications

Total of 1 work and 140 citations, including 1 work in 2013, with an h-index of 1.

• Jeong-Kyun Kim, Seongeun So, Heejin Lee, et al. DigSee: disease gene search engine with evidence sentences (version cancer). Nucleic Acids Research. 2013. doi:10.1093/nar/gkt531. — 140 citations

Research areas

Research areas include Bioinformatics and Genomic Networks, Biomedical Text Mining and Ontologies, and Machine Learning in Bioinformatics.

Frequent collaborators

• Jung‐Jae Kim — Agency for Science, Technology and Research
• Jeong-Kyun Kim — Agency for Science, Technology and Research
• Hyunju Lee — Chonnam National University
• Heejin Lee — Kookmin University
• Jong C. Park — Korea Advanced Institute of Science and Technology
• Hee-Jin Lee — Korea Advanced Institute of Science and Technology

Publication profile

• Most cited recent work: DigSee: disease gene search engine with evidence sentences (version cancer) (56 recent citations)
• Top venues: Nucleic Acids Research
• Languages: en (1)