Position: ML Engineer
Category: Data Science
English level: upper
Years of experience: 0.5

**Education**
Master and Bachelor degrees in Computer Science (both finished with honors)
IASA, NTUU KPI
(copypasted from CV)
***COMMERCIAL EXPERIENCE***
**GRID DYNAMICS (June 2022 - Present)**
ML Engineer contractor for Apple Inc., majorly handling
full-stack software engineering (Aug 2022 – Feb 2023)
1. Application for drift detection in manufacturing data:
- Backend development | internal platform, Python
- Frontend development | internal UI library, Vue.js
- Data visualization | Tableau
- Statistical algorithms for time-series data development | Pandas, NumPy, Alibi Detect
2. Application for production line optimization:
- Frontend development | Vue.js, Chart.js, Cytoscape.js
3. Other small projects on POC phase:
- Backend development | Flask, Python
- Frontend development | internal UI library, Vue.js

***PERSONAL PROJECTS***
**AUDIO EDITOR WITH ML-BASED INHALE FILTERING**
- Audio files dataset markup
- YOLO features engineering
- YOLO model design and training | TensorFlow, Python
- Desktop app implementation | Jetpack Compose, Kotlin

**STUDY PROJECTS**
- Device classification based on their text description in NLP course | FCNN, LSTM, Transformers
- PageRank algorithm implementation using Spark in BigData cource
- Viola-Jones algorithm training parallelization using CUDA in AI cource

**ALTMOBFOGSIM**
(MASTER THESIS)
- Framework extension development | Kotlin
- Parallel simulations design and execution
- Library source code debugging
- Paper preparation and publishing in academic journal