cv
Basics
Name | Maria Levchenko |
Label | NLP Engineer and Python Developer |
marylevchenko@gmail.com | |
Phone | +39 (351) 8120615 |
Url | https://mary-lev.github.io |
Summary | 4+ Years in Microservices Architecture & Web Development | Passionate about the integration of AI and software engineering for innovation and complex problem solving. |
Work
- 2020.12 - 2024.01
Python Developer
Welltory Inc.
Welltory is a science-based app that helps you measure your stress & energy levels and improve productivity and health.
- Contributed to the development of a microservices platform (Django, PostgreSQL) for the wellness app with over 7 million users
- Enhanced the message generation pipeline to improve performance and speed (Celery, Redis, RabbitMQ)
- Implemented key performance metrics to facilitate consistent monitoring of system performance (Kibana/ElasticSearch, Grafana, Sentry, Kubernetes)
- Created an AI-based tool to assist the QA team in accelerating the development of test cases (OpenAI API).
- 2019.12 - 2020.12
Data Engineer
EPAM Systems
EPAM Systems, Inc. is a global provider of software engineering and IT consulting services headquartered in Newtown, Pennsylvania, United States. The company has software development centers and branch offices in North America, Europe, Asia and Australia.
- Developed ML model pipelines to recognise tabular data from medical articles and reports (Flask, paddleOCR)
- Implemented ML model evaluation metrics for order volume prediction
- Python, Flask, ML pipelines, NLP algorithms, OCR, AWS
- 2014.07 - 2019.12
Education
-
2022.09 - 2024.12 Bologna, Italy
MA
University of Bologna, Bologna, Italy
Digital Humanities and Digital Knowledge
- Natural Language Processing
- Machine Learning
- Open Science
- Information Modeling
- Knowledge Management
- Network Analysis
-
2000.09 - 2001.12 SPb, Russia
Certificates
DevOps on AWS | ||
AWS / Coursera | 2023-07-30 |
React Basics | ||
Meta / Coursera | 2023-03-12 |
IELTS | ||
IELTS Official | 2022-05-20 |
Django | ||
Stepic.org | 2020-09-15 |
R Programming | ||
Coursera | 2014-11-04 |
The Data Scientist’s Toolbox | ||
Coursera | 2014-08-07 |
Publications
-
in progress Mapping Literary Space: A Social Network from the Timeline of Cultural Events
This study analyzes the social literary network in Saint Petersburg from 1999 to 2019 using social network analysis (SNA) within the digital humanities framework.
-
2024 Commentare – Leggo Manzoni. Quaranta commenti alla Quarantana (con Giulia Menna e Beatrice Nava, in Italian)
Manzoni e Leopardi in digitale. Idee e strumenti per la scuola, a cura di Ersilia Russo. Bologna, CLUEB, 2024.
About the project LeggoManzoni.
-
2021 Издательские стратегии в поле современной русской поэзии / Publishing Strategies in the Field of Contemporary Russian Poetry (in Russian)
Артикуляция / Artikuljacija
The article discusses the struggles of contemporary Russian poetry publishing, focusing on the sector's reliance on outdated samizdat strategies and its insular, unprofitable nature. It underscores the sector's difficulties with distribution and profitability, pointing to a constrained, self-referential literary community with limited market appeal.
Skills
Python | |
Django / Django Rest Framework | |
SQL / PostgreSQL | |
Microservices / REST API |
JavaScript | |
React / Redux | |
Node.js / Express.js | |
HTML / CSS / SASS | |
Git / GitHub / GitLab |
Machine Learning / Artificial Intelligence | |
Natural Language Processing | |
Named Entity Recognition / Classification / Clustering | |
Data Analysis / Data Engineering | |
OpenAI / GPT-4 / LLAMA |
CI/CD | |
Git / GitLab CI | |
Docker / Kubernetes |
Languages
Russian | |
Native speaker |
English | |
Fluent |
Italian | |
Intermediate |
Projects
- 2023.05 - 2023.12
LeggoManzoni: Quaranta commenti alla Quarantana
An innovative project developed in Bologna University, aiming to integrate digital technologies into everyday teaching practices. It provides educators with a tool for an interactive approach to reading an Italian literature classic: Alessandro Manzoni's The Betrothed (I promessi sposi).
- Development of an interactive web platform for teachers of Italian literature on Node.js
- Implementation of an algorithm to convert, link and display the text of the novel and its 40 commented editions (Python/JavaScript)
- Node.js, NLP algorithms, XML, TEI
- 2020.09 - 2020.12
Pavlov's Dog
No code learning platform for UX/UI design and content creation courses
- Implemented ML pipeline based on NLP algorithms for automatic analysis of student responses and user feedback
- came up with a system of automatic evaluation of students' answers based on 4 indices, which were included in the certificate of completion
- Python, JavaScript, GoogleSheets API, NLP algorithms