Position: Data/ML Engineer
Category: Data Engineer
English level: fluent
Years of experience: 3

BSc in Computer Science, GPA 4.5/5
Top 3% at Google HashCode Team Competition 2021
Conducted R&D on **OpenAI models** (embeddings and fine-tuning) for the multilabel hierarchical classification task.
Implemented **data pipelines** (Apache Spark/Airflow), accompanying **API endpoints** (Apache Thrift RPC), metrics coverage, and Grafana dashboards.
Supported products by extending APIs and adding features upon a customer's requests.
Acted as a project lead (responsible for **planning** and **requirement decomposition**) for R&D and system refactoring, achieving timely and quantifiable results.
Migrated multiple services from Apache Spark 2.4 to 3.3 and Python 3.7 to 3.10.
Took part in:
- internal meetups and prepared **presentations on technical topics**.
- **on-call rotations**.

Designed microservices and implemented REST APIs in cooperation with a Frontend team.
**Improved test coverage** which led to higher stability and faster releases.
Refactored multiple services by separating core logic into a library improving the development process.

Was responsible for backend development in a small startup working on a Learning Management System (think LeetCode/HackerRank).
Implemented the system (API endpoints, DB design) using Django with deployment on a Digital Ocean's VPS using Fabric, producing MVP and iterating on it.
Integrated 3rd party APIs (OAuth, payments system) allowing a better user experience.
Refactored the system to use Redis and AWS Lambdas achieving **higher throughput and load**, **optimized SQL queries improving performance**.
- Small projects
- Strong team
- State-of-the-art research (DL, NLP, Transformers)