Nino Mumladze
Verified Expert in Engineering
Data Scientist and Software Developer
London, United Kingdom
Toptal member since April 2, 2021
Nino is a software engineer with a proven record of industry experience in back-end development and data engineering with companies like Amazon and Meta. She has both theoretical and practical knowledge in cloud computing and distributed systems backed by a bachelor's degree in computer science. Nino will also complete a master's degree in data engineering and analytics from the Technical University of Munich in 2021.
Portfolio
Experience
- Ruby on Rails (RoR) - 4 years
- Back-end Development - 4 years
- Ruby - 4 years
- Python - 4 years
- Cloud Computing - 2 years
- Machine Learning - 2 years
- Data Analysis - 2 years
- Data Engineering - 2 years
Preferred Environment
MacOS, Ruby on Rails (RoR), Slack, Python, SQL, Google Cloud
The most amazing...
...environment I've worked in is full of people who know how to work as leaders and team members.
Work Experience
Data Engineer
Meta
- Worked on monitoring the correctness of the experimentation platform for ads delivery systems at Meta, operationalizing metrics that measure the reliability of the platform, as well as best practices when it comes to setting up an experiment.
- Ensured the power of the experiments was adequate by deploying a power calculator to set up experiments that deliver statistically significant results.
- Worked on Reality Labs products such as workrooms (an app for meetings in virtual reality) and Ray Ban Meta processing pipelines (NLP).
Data Engineering Intern
- Designed, developed, and launched a new ETL and analytics framework for tracking detailed growth and retention metrics across ad infrastructure products.
- Collaborated and communicated with cross-functional teams to create an accompanying dashboard to visualize metrics in a timely manner. The dashboard is used by team members and product managers to make data-driven decisions.
- Presented findings and insights to the Facebook data engineering community to encourage wider adoption and build cross-functional collaboration.
Junior Research Scientist (Intern)
Amazon.com
- Developed a robust and scalable package in Spark to perform statistical inference on large amounts of data.
- Used Apache Spark's RDD layer to perform in-memory computations on a large amount of data in order to scale the package to work on millions of rows.
- Implemented cloud technologies (AWS) to store the data (S3), perform computations on it (EC2), and distribute computations in clusters (EMR).
Software Engineer
Experteer
- Developed or fixed features for an online executive career service. Maintained iOS and Android mobile apps.
- Tracked and fixed bugs using Jira as a reporting tool. Pushed code changes to the system, using GitLab with a CI/CD pipeline.
- Incorporated third-party APIs for tracking user engagement and retention in Experteer's applications.
Back-end Engineer
Vabaco
- Developed and maintained parts of an application that provides a healthcare management system for the largest healthcare distributor in Georgia.
- Updated the status of tasks and bugs I worked on, using Jira as a reporting tool.
- Used Git as a source control system and kept clean documentation about the developing system for further assistance.
Experience
Sentiment Analysis of Amazon Product Reviews
Education
Progress Toward Master's Degree in Data Engineering and Analytics
Technical University of Munich - Munich, Germany
Bachelor's Degree in Computer Science
Free University of Tbilisi - Tbilisi, Georgia
Skills
Libraries/APIs
NumPy, REST APIs, TensorFlow
Tools
Postman, RSpec, Docker Compose, Git, Slack, GitLab, Amazon Elastic MapReduce (EMR), Jira, Apache Airflow
Languages
SQL, Ruby, Python, Scala, Python 3
Frameworks
Ruby on Rails (RoR), Ruby on Rails 5, Spark, Apache Spark
Storage
Databases, PostgreSQL, Data Pipelines, Apache Hive, Amazon S3 (AWS S3), Google Cloud
Platforms
MacOS, Docker, Amazon Web Services (AWS), Amazon EC2, iOS, Android, Google Cloud Platform (GCP)
Paradigms
ETL
Other
Back-end Development, Informatics, Natural Language Processing (NLP), Linear Regression, Data Visualization, API Integration, Data Engineering, Data Analysis, Back-end, Generative Pre-trained Transformers (GPT), Information Theory, Computer Vision, Cloud Computing, Deep Learning, Machine Learning, Statistics, Optimization, CI/CD Pipelines, Dashboards, Mobile Apps, Sentiment Analysis, Generative Adversarial Networks (GANs), Visualization, Data Analytics
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