Skills
Key skills that define my professional identity.
Python
The core programming language for AI and data science, supporting machine learning and deep learning development.
PyTorch
Facebook's deep learning framework providing dynamic computation graphs and flexible model building.
Pandas
Powerful data analysis and manipulation library, the go-to tool for handling structured data.
NumPy
Fundamental package for scientific computing, providing high-performance multidimensional array operations.
Git/GitHub
Version control system and collaborative development platform for managing code repositories.
OpenCV
Computer vision library for image processing, object detection, and multimodal AI applications.
Projects
Completed 20+ real-world projects involving text classification, sequence labeling (NER, POS), semantic search, information retrieval, Retrieval-Augmented Generation (RAG), LLM fine-tuning, and prompt engineering.
Contributions
Open-source contributions and community involvement.
Experience
Professional journey and career timeline.
Data Analyst
Completed various data analytics projects spanning customer intelligence, sales optimization, and predictive modeling across e-commerce, retail, and marketing domains.
AI Engineer / Machine Learning Engineer
Led full-cycle development of multilingual sentiment analysis platform using BERT-family models, supporting full fine-tuning and LoRA parameter-efficient tuning.