Do everything for the exponential growth of startups and products.CEO Staff, Growth Strategy, Marketing, Business Modeling, IR, PR, HR, etc.Starting member of the strategy team, directly under the CEO.- KPI Setup: Set a clear company goal for 2024. Spread specific goals of each team in metric.- BD: Researched and proposed the initial advertisement, and subscription BM strategy for ZETA.- Market Research: Researched core value(fun) of AI-based entertainment services. like CAI.- PR: Contacted press instead of the CEO for initial company introduction for public relationship.- IR: Built IR resources( IR Deck, Financial Modeling ) and partially participated in IR pitching with the CEO.- HR: Directly recruiting DA(Data Analyst), PD(Product Designer) through 20+ tea time with candidates.- Networking: Source and communicate with other companies who can fill out the weaknesses of ScatterLab.

- Project Lead. LLM quantization research for production cost reduction. (W4A16, W8A8)- Built in-house LLM ourselves. Did everything needed for LLM pre-training. Data collecting, pre-processing, pretraining, and deployment. Worked with MosaicML (now Databricks)- Project Lead. Redeveloped all ML inference services from scratch for the bigger model update. Optimized with AWS spot instance, AWS inferentia with TFServing, FasterTransformers with GPU, FastAPI, Kubernetes, and other techniques for best performance per cost.- Project Lead. Optimized GPT inference server for real-time text generation. 3x faster than baseline.- Project Lead. Optimized RoBERTa inference speed using IPU. achieved 5x lower cost and 2x faster!- Optimized large-scale TPU Pod Tensorflow training; achieved 3x faster training speed.- Developed internal data labeling tool backend and data sampling in large raw conversations data.- Managed research team GCP environment for convenient and cost-effective cloud working space.Side Projects- Built dialog response search tool backend using FastAPI & Elastic Search.- Built helpful slack bots for internal purpose (ex. Cloud VM monitoring and access slack bot)- Built internal dockerfile repository and auto-build CD using GitHub Action.

- Project Lead. Researched dialog response retrieval in 10M+ response candidates using ANN.- Project Lead. Researched automated person name de-identification for data privacy protection.- Project Lead. Researched a similar query-matching model to reply with persona-oriented responses.- Researched intent classification task to classify given context is purposed of goal-oriented or chitchat.- Researched noun and keyword recognition model to catch the dialog topic.- Researched the next dialog topic prediction model in the multi-turn context.- Developed language model fine-tuning and evaluating pipeline with 5 NLU tasks using Kubeflow- Developed the Pingpong-Builder backend logic at the prototype stage.Side Projects- Lead KLUE(Korean Language Understanding Evaluation) MRC task, accepted in NeurIPS 2021- Had a presentation in PyCon 2019 "Building open-domain conversation model with 1B+ dataset"- Had a presentation in Naver Tech Talk 2019 "Building open-domain conversation chatbot" with CEO.- Awarded 1st place at 2019 AI Starthon in the group of 5+ year startups. (main: NLP Movie Review)- Participated in Kubernetes study for 3 months to learn the scalable and continuous deployment.- Participated in GO language study for 3 months to learn the powerful backend language.

- Prototyped goal-oriented dialog system for a restaurant reservation- Implemented popular arixv papers using Pytorch (internship assignment)

- Domain-specific neural machine translation task for shopping website- Name entity recognition/intent classification for airline booking chatbot- Intent classification task for card company chatbot- Audio/Transcription Data collection & management