Computer Science Engineering Resume Sample

Leading 8-person international Data Scientist team in 30-person project aiming for transformation of Cyber Security data analysis processes to detect threats in a global scale. I am currently holding an Atos Expert title (only 500 people out of 100 employees).

Accomplishments:
-Designed architecture for up-to-date data collection and ingestion from thousands of data sources (over 1 petabyte of data analyzed monthly).
-Designed and lead the research of over 100 machine learning models for cyber threats including corrupted / compromised accounts, infected hosts, virus and malware proliferation, insider network attacks using backdoors, anomalies in system users’ and machines’ behavior, mailing phinshing.
-Performed several setups for Hadoop ecosystem clusters based on Cloudera distribution together with cofiguration and code adjustment for tools like: Spark (PySpark), StreamSets, Kafka, HBase, Hive, Hue, Impala, ZooKeeper and Oozie.
-Researching GPU and distributed frameworks for high-speed model inference. Technologies used: Spark 3.0, Tensorflow, Dask.

Developed website and technology stack for collecting and analysis of real-time sensory data for an innovative Norway start-up.

Accomplishments:
-Designed from scratch the entire application consisting of 10 microservices, which supported 17 factories.
-Technology stack includes JavaScript (Node.js, React), Cassandra, Redis, RabbitMQ, Docker, AWS, GitLab CI. Designed a pipeline which processes data collection from 1200 machines every minute.
-Built visualization tools to correlate sensory data from various additional sources such as weather data, sensor web controllers, and manual input streams.
-Designed an API that allows clients to download and modify data from their sensors. Built several machine learning models for anomaly alerting using SMS and email notifications.

One of the first programmers in a newly founded start-up providing artificial intelligence solutions for insurance industry.

Accomplishments:
-Created website frontend, backend, and decision engine microservices using JavaScript (Node.js, Vue.js), Clojure, PostgreSQL, Docker, AWS, GitLab CI.
-Developed several solutions for collecting and preprocessing insurance data from multiple sources. Designed collection and pipeline processing of data for users visiting the site.
-Designed end-to-end machine learning pipeline for recommending price of insurance products.

Helped a 4 person team in creating a solution for massive processing of large companies dataset for US financial company client.

Accomplishments:
-Build a tool for preprocessing almost 250 GB of data and uploading it to Amazon Web Services infrastructure.
-Designed Elasticsearch database and optimized for quick searching and query scoring.

Accomplishments:
-Designed backend and frontend architecture and managed their implementation.
-Technology stack includes Python (Django), JavaScript (React), MySQL, Elasticsearch, Docker, GitLab. Implemented several techniques for recommending and matching job offers with users using various machine learning techniques.
-Designed tools for analyzing users’ behavior and segmenting them. Supervised work on several tools such as self-designed systems for sending emails, payment systems, CV generators, and employee search engines.
-First technical person in the company, led a 5-person IT team (25 employees overall).

Worked in a ~15 person DevOps Team in a banking software company, programming tools to increase the performance of the DevOps Team.

Accomplishments:

-Built a program that aggregated project builds’ statistics from CI tools and created a report, automating the daily routine for many team members.
-Automated matching project versions with appropriate translation packages to download, saving ~50MB files from being frequently updated and stored in the repository.