dayyass
Stars
31
Hi, my name is Dani 👋 and I ❤️ AI and Open-Source
Field of interests: LLM, NLP, RL, Graphs, Distributed Systems
My telegram channel: Cat's Shredinger
Skills 🛠️
- Languages: Python, SQL
- DS/ML/DL: SkLearn, PyTorch, Transformers
- Big Data: Hadoop, Spark
- DevOps: Linux, Git, Docker
Work experience 👔
| Job Position | Company | Field | Work Period |
|---|---|---|---|
| Head of AI Transformation | Social Discovery Group | LLM, Conversational AI | 2024-05 — now |
| Research Scientist Lead | SberDevices | LLM, GigaChat | 2023-04 — 2024-05 |
| NLP Team Lead | SberDevices | Search, Information Retrieval | 2022-10 — 2023-04 |
| NLP Tech Lead | Sber AI Lab | NLP, MLOps, Mentoring | 2021-05 — 2022-10 |
| Senior NLP Engineer | Tinkoff AI Lab | Virtual Assistant "Oleg" | 2021-02 — 2021-04 |
| Middle NLP Engineer | MTS AI Lab | NER with Pseudo-Labeling | 2020-05 — 2021-02 |
| Junior Data Scientist | Sberbank | ML with Tabular Data, CV | 2018-07 — 2020-05 |
Education 🎓
- Master’s Degree @ Lomonosov Moscow State University (2019 - 2023)
- Bachelor's Degree @ Plekhanov Russian University of Economics (2015 - 2019)
Projects 🐾
- MUSE TF -> PT - convert Multilingual Universal Sentence Encoder from TensorFlow to PyTorch and ONNX
- QaNER - unofficial implementation of QaNER paper (NER via Extractive Question Answering)
- RLLib - Reinforcement Learning library
- MUSE as Service - REST API for sentence embedding using Multilingual Universal Sentence Encoder
- PyTorch NER - pipeline for training NER models using PyTorch
- Text Classification Baseline - pipeline for building text classification TF-IDF + LogReg baselines
- Graph-Based Clustering - clustering using graph connected components and spanning trees
Public talks 🗣
- From Model to Service: Flask + Gunicorn + Docker @ Sberloga
- QaNER - NER via Exractive QA @ Sberloga
- Git Hooks Is All You Need @ Sberloga
- Web-Service for Sentence Embeddings @ Sberloga
- How to start a career in DS @ REU Data Science Club
Certifications 📜
- Practical Reinforcement Learning (with honors) @ Coursera
- Introduction to Deep Learning (with honors) @ Coursera
- Bayesian Methods for Machine Learning (with honors) @ Coursera
- Hadoop. System for processing large amounts of data @ Stepik
Hackathon participation 💻
- deNews @ ETHOnline 2022
- Alzheimer's MRI Analysis @ Synthetic Health Data Hackathon 2020
Achievements 🏆
- Key contributor to GigaChat: Russian most advanced LLM
- 500+ stars on GitHub and 10 packages in PyPI with 38k+ downloads
- Contributor to PyTorch, Scikit-Learn, SciPy
- Open Data Science Best Contributor 2020
GitHub Stats ⭐
More information in my LinkedIn 🚀
Badges
Extracted from project README