Work Experience
Senior Machine Learning Engineer
05/2024 – Present
Responsibilities: My colleagues and I are actively participating in a project focused on improving ontology as a service. In my role, I was tasked with devising and implementing processes to maintain and enrich the ontology, a critical component of a Named Entity Recognition (NER) application. Additionally, I participated in the company hackathon, collaborating with a team to develop a crop recommendation system. Currently, I’m leading the data analysis internship program.
Technologies: Python, FastAPI, Redis, PostgreSQL, Elasticsearch, Docker, PyTorch, Hugging Face
Senior Machine Learning Engineer
04/2023 – 05/2024
Responsibilities: As a member of the Quants department, my team and I were tasked with the responsibility of conceiving, reinforcing, and enhancing AI functionalities of our products. Some of the tasks were:
• personalized recommendations of news and research
• sentiment analysis on financial news
• development and improvement of models for selecting top news retraining to specific companies
• capturing the essence of a news article and transforming it into a video clip
• Created PoC that applies LLM to news summarization and improvement of search capabilities Additionally, I helped with the development of a user interface using ReactJS to exhibit these model capabilities to our clients.
Technologies: Python, Django, Redis, PostgreSQL, Tensorflow, Flask, Swagger, ReactJS, Docker, Elasticsearch, Hugging Face
Senior Machine Learning Engineer
11/2020 – 04/2022
Responsibilities: Engaged in a project aimed at collecting data from public companies to be distributed to credit-scoring institutions. My responsibilities included:
• Containerization of the project code base.
• Crawl companies’ websites without being banned.
• Create ongoing reports for the client.
• Improve the success rate of the company information found.
Technologies: Python, Django, Redis, PostgreSQL, Celery, Elasticsearch, Ansible, Docker
Machine Learning Engineer
05/2019 – 09/2020
Responsibilities: I was part of the R&D team, and the main objective was to create tools that could help the Support Team. Part of my tasks included optimizing the search results on the website, creating a chatbot, and improving the machine translation.
• Automating internal processes such as deployment of Machine Learning models on production.
• Finding and preparing bilingual corpora for training Google AutoML models.
• Data preparation and training of ML models.
• Actively following the latest trends in the field of Natural Language Processing.
Technologies: Python, Bash, Flask, Redis, PostgreSQL, Apache Solr, TensorFlow
Data Engineer
10/2018 – 05/2019
Responsibilities: I was part of the R&D team in the Experian Analytic Center of Expertise department. I’ve worked on external products and automation of internal processes. Other responsibilities included:
• Mentoring interns and junior data engineers.
• Created demos that were later used by the sales team to pitch new clients.
• Worked on the latest Experian product - Trusso, for which my responsibilities were: preparing training data, training classification models, validating that each trained model works correctly, and deploying it to production.
Technologies: Python, Bash, Apache Spark, Redis, PostgreSQL
Associate Data Engineer
03/2017 – 09/2018
Responsibilities: Mentoring interns and writing code reviews.
• Automation of internal processes.
• Worked on an internal product based on Apache Spark with the main purpose of helping the Data Scientists to process big chunks of data. Part of the job was: developing and testing new features, and writing documentation.
Technologies: Python, Bash, Apache Spark
Education
- Master Degree in Data Mining 10/2018 – 02/2020
- Bachelor Degree in Informatics 10/2012 – 01/2017
