Experience
MLOps Engineer
Thaki Cloud Co. Ltd
Designing and maintaining Kubernetes clusters for private cloud platform supporting distributed model training and inference.
Building systems for resource discovery, policy enforcement, and workload scheduling using Kubeflow, Kueue, Kai Scheduling, and Kyverno.
Managing ML pipelines with Helm and ArgoCD for continuous delivery across staging and production environments.
AI/ML Research Engineer
Aria Studios Co. Ltd
Fine-tuned Qwen-2.5-7B/3B models using LoRA and DPO for Korean language. Fine-tuned GPT-3.5-turbo on conversational data.
Built voice-to-voice AI assistants using LiveKit, Whisper, and MCP servers for real-time task execution.
Deployed vLLM APIs and FLUX (Stable Diffusion) models. Developed Phi-3-Vision VLM systems and DeepFake technologies.
ML Engineer
Pyler Co. Ltd
Built video and image content moderation pipelines achieving 10-20% improvement in accuracy.
Implemented real-time object detection and multi-label classification systems for brand safety.
Leveraged CLIP embeddings, PCA, KMeans, and DBSCAN for dataset clustering. Built end-to-end pipelines on Kubeflow with active learning.
AI Research Engineer
D-Meta Co. Ltd
Developed OCR pipeline using Spatial Transformer Networks (STN) achieving 90%+ accuracy for industrial scene text.
Built ANPR system with real-time RTSP stream inference improving performance by ~15%.
Deployed car damage detection on Android devices using TorchScript. Applied Pix2Pix GAN for shadow removal.
MSc in Computer Engineering
Gachon University
Master’s degree in Computer Engineering, advised by Prof. Young Im Cho. CGPA: 4.0/4.5
Focus: Computer Vision, Image Processing, Algorithms, and Machine Learning.
Research Assistant
AI and SC Lab, Gachon University
Researched computer vision-based fire and smoke detection using dilated CNNs, achieving 1.5× faster inference speed.
Optimized models for edge devices (Raspberry Pi 2) using hyper-parameter tuning and quantization.
BSc in Computer Engineering
Tashkent University of Information Technologies
Bachelor’s degree in Computer Engineering. CGPA: 85/100 (3.72/4.0)
Focus: IoT, Probabilities, Discrete Mathematics, and Calculus.