Machine Learning Researcher · London, UK
As a Ph.D. in Artificial Intelligence recently completed, my research focuses on improving training efficiency and performance of various state-of-the-art deep neural networks(DNNs) including Transformer-based models and convolutional neural networks (CNNS), with a particular emphasis on sound classification tasks, recently publishing the papers related to the topics. Experienced and Skilled expert in various DNNs, and cloud computing (Google and MS Azure) and Linux environment using Git, with exceptional coding and analysis skills. Recently published three deep learning related papers at Neural computing, IEEE, and ICMCL & ICWAPR.
Selected Work
Novel CNNs with Multi-layer Feature Aggregation for Sound Classification
IEEE SMC 2025 · Novel convolutional neural network architectures using multi-layer feature aggregation and pooling permutations for audio sound classification tasks.
02 ↗Dual Representations: Self-Supervised Audio Spectrogram Transformer
Neurocomputing 2025 · A novel variant of Self-Supervised Audio Spectrogram Transformer with dual representations, multi-layer feature fusion, and pooling combinations for sound classification.
03 ↗The Lottery Ticket Hypothesis and Reinitialisation with Masks
ICMLC 2024 · Investigates the Lottery Ticket Hypothesis applied to deep neural network pruning, exploring reinitialisation strategies with masks to improve training efficiency.
04 ↗Llama 3.3 Domain Fine-tune
QLoRA fine-tuning of Llama 3.3 70B on a domain-specific dataset using Axolotl. Trained on GCP A100 with DeepSpeed ZeRO-3.
05 ↗Retrieval-Augmented Pipeline
End-to-end RAG system with custom chunking strategies, hybrid retrieval, and reranking. Benchmarked against baseline GPT-4.
06 ↗Training Data Pipeline
Scalable data preprocessing and deduplication pipeline for LLM pre-training. Handles 100B+ tokens with quality filtering.
Background
Machine Learning Researcher
Big tech companies · San Francisco, USA
LLM expert, participating in LLM projects from Silicon Valley companies, USA (working remotely)
Teaching Assistant
Royal Holloway, University of London · London
Teaching Assistant
I've taught major Artificial Intelligence master's subjects,
such as Deep Learning, Natural Language Processing, Autonomous AI systems,
Python Language and so on.
Skills: Associate fellowship of the HEA
Data Science Advisor
gov.uk/Natural England · London
- Worked as a Data Science Advisor for the Artificial Intelligence projects related to generative AI technology
- Worked through Azure GPU cloud computing and development
- Taught how generative AI works to employees more than weekly in Natural England
Skills: PyTorch, Generative Adversarial Networks (GANs), TensorFlow, Artificial Intelligence (AI), Convolutional Neural Networks (CNN), Computer Vision, Microsoft Azure Machine Learning
Senior Officer
Standard Chartered Bank Korea · Seoul, Korea
FCU(Finance Control Unit), Finance Accounting Team
- Acted as the Korea representative for conference calls, facilitating communication between the Korea branch and the Standard Chartered Group.
- Led the improvement project for the newly adopted K-EDW system(domestic financial accounting system) : testing, maintaining, or launching software products, and experience with software design and architecture.
- Managed month-end and year-end closing processes for financial statements at Standard Chartered Bank Korea.
Skills: Java · Data Science · Programming · Software Project Management · Software Development · Software Design.
Engineer
Samsung SDS · Seoul, Korea
Software Engineer, Sec Global improvement part , Sec Global IS Team, Samsung Electronics division
- Managed the Worldwide Trading Network (WTN) System for Samsung Electronics, supporting the Global Finance Team through ERP: testing, maintaining, or launching software products, and experience with software design and architecture.
- Implemented and maintained the SAP ERP system (FI, SD) using ABAP language for overseas subsidiaries, providing training on accounting manuals.
- Successfully installed the WTN system on the Samsung Austria server and presented the system manual during a business trip to Austria.
Skills: ABAP, SAP ERP, SAP FI consultant, Sun Certified Java Programmer, Financial Analysis, Accounting, Data Analysis
Background
Ph.D. Artificial Intelligence in Computer Science
Royal Holloway, University of London · London
Improving training efficiency and performance of various state-of-the-art deep neural networks(DNNs) including Transformer-based models and convolutional neural networks (CNNS), with a particular emphasis on sound classification tasks
MSc. Machine Learning in Computer Science
Royal Holloway, University of London · London
Top level of GPA
Master's Thesis: The
Experiments of DCGANs and
WGANs in Generative Deep
Learning
MBA, Master of Business Administration
KAIST (Korea Advanced Institute of Science and technology) / Techno MBA · Seoul, Korea
GPA 3.73/4.3 (93.66/100)
Master's Thesis: ‘Storytelling Marketing' Analysis and Strategy
Bachelor of Science, Computer Science and Engineering
Ewha Womans University · Seoul, Korea
GPA 3.62/4.3 (92/100)
Honor student of Ewha Womans University
English study in Boston, U.S.A.: Boston Univ. CELOP(Language School) in the U.S.A.
Technical
ML & Training
Infrastructure
Languages
Contact
Open to interesting problems in LLM training, alignment, and production ML. Feel free to reach out.