Position: Data Scientist, Machine Learning Engineer, MLOps
Category: Data Science
English level: fluent
Years of experience: 3

-Top 9.49% in Leetcode. Username: KONAKONA666
-Participated in National Olympiad in Informatics, Kazakhstan passed the qualifying rounds from school round to nationwide.
-Decathlon Hackathon Winner, 2018
-HackNU 2021 Microsoft track 3rd place.
-Delivered information extraction from utility bills and bank statements. Developed an information extraction system to handle arbitrary layouts. Stack: easyOCR, flairNLP, PyTorch, AWS SageMaker.
-Designed and implemented a custom model combining triplet loss and glove concepts in PyTorch to handle hierarchical
dependency. Analyzed sales data using product embeddings and improved f1 metrics in a downstream task by 10%.
-Add a feature that is used by more than 30k employees using xAI, SHAPvalues, PyTorch, XGBoost, CatBoost.
-Set up CI/CD using Github Actions for ML Team, pylint, mypy. MLOps and collaborated with different teams to deploy ML models. Kubeflow, MLFlow.
-Created tools that are used by 15+ other developers and made testing easier.