Position: ML Engineer
Category: Data Science
English level: upper
Years of experience: 4

- Brought Deep Learning into existing ML solution in a ML-oriented product and increased quality metrics for ~10%.
- Developed a custom ML solution for a B2B product, that was the most useful feature for 70% customers.
- Moved 80% projects from PoC stage to production.
- Worked in a full-cycle pipeline of ML product, was involved in stages from data gathering to deployment.
Hi there!

I'm a T-shaped specialist with a major expertise in Deep Learning, passionate about Computer Vision and everything new in Machine Learning in general. 

EXPERIENCE
- Developed a system, that recommends the best photos from the given album of photos. Solution is based on image analysis and includes such approaches like photo aesthetic estimation, object detection, face detection and emotion recognition, image embeddings extraction, clusterization etc. 
- Fully developed a startup Automation of Job Interview Process. Developed all ML algorithms + web part. Integrated NLP - text classification and NER with BERT-based nets, graph similarity, text readability etc.
- Built and deployed product category text generation task on 4 languages: English, French, Italian, Spanish with GPT-2, mt-5 models.
- Developed custom OCR project with math symbols recognition using OpenCV, CRAFT, PSENet etc.
- Developed solution for PII Extraction in unstructured multilingual text using BERT-based nets.
- Developed a project that detects bad photo quality (blur, bad lighting, bad object angles etc.) using OpenCV, ResNet, YOLO etc.
- Developed classic ML solutions like medical data classification.
- Developed Proof of Concepts for such tasks like: Clothes 3D Reconstruction, Clothes Segmentation, Audio and Video Emotion Detection etc.
- Managed 5 developers as a Team Lead.

Also strongly experienced with AWS, Azure, Git, Docker, SQL.
I expect to work with ML/DL tasks with emphasis on Computer Vision. 
Now, I want to grow further in my career and embark on a new adventure, mostly I'd like to work in ML-oriented product. Therefore I'm interested in positions of a ML Engineer with higher level of ownership and responsibility for the product results.