Teo Popescu

5.0

(1 reviews)

US$20.00

For every 15 mins

Sessions/Jobs

ABOUT ME

Data Engineer with 2+ years of experience. Teaching assistant in Data Engineering at University College London

Hi,
I am currently a Software/Data engineer with expertise in productionising machine learning models, building REST APIs, running AWS infrastructure and building data pipelines for companies in the banking, pharmaceutical and media industries. Previously, I taught data engineering concepts at University College London.
My expertise includes working with the following technology stack:
Python, FastAPI, Apache Spark, PostgreSQL, MongoDB, AWS, Apache Airflow, Docker, Jenkins, GitHub Actions, MLflow, Terraform, Kubernetes, ArgoCD, Argo Workflows and React.js.

Romanian, English

Bucharest (+03:00)

Joined September 2020

EXPERTISE

Python

5 years experience | 1 endorsement

Experienced in teaching Python within University College London's Masters in Business Analytics. I have also worked on building analytics...

Experienced in teaching Python within University College London's Masters in Business Analytics. I have also worked on building analytics and data science projects, data pipelines, API development and unit testing for applications in the media industry

Relational Database

3 years experience

- End to end SQL-based extract-transform-load data pipeline development for the largest European investment bank and for the largest broa...

- End to end SQL-based extract-transform-load data pipeline development for the largest European investment bank and for the largest broadcaster in the world. - SQL query optimization - My work also involved database migrations and setting up AWS Redshift clusters

Data Engineering

2 years experience

- I worked on orchestrating batch processing data pipelines with Docker, Kubernetes, AWS Batch and Jenkins and exposing machine learning ...

- I worked on orchestrating batch processing data pipelines with Docker, Kubernetes, AWS Batch and Jenkins and exposing machine learning models as REST APIs on both AWS and GCP. - I have also built and delivered content for an NLP-based streaming pipeline for tweets sentiment analysis with Apache Kafka (on Confluent platform), Spark Streaming and Spark MLLib.

Apache Airflow AWS (Amazon Web Services)Docker

Apache Airflow AWS (Amazon Web Services)Docker Kubernetes Apache Kafka Jenkins Google Cloud Platform

DevOps

5 years experience

My experience includes: - deploying MLflow on AWS EC2 instances, using AWS Elastic Load Balancer, CloudFormation templates and AWS Elast...

My experience includes: - deploying MLflow on AWS EC2 instances, using AWS Elastic Load Balancer, CloudFormation templates and AWS Elastic File System - Building and deploying web applications on AWS.

AWS (Amazon Web Services)MLflow Troposphere

NoSQL

3 years experience

In the past, I have : - Set up DynamoDB instances and posted text data used for NLP application - Extracted data from DynamoDB instances ...

In the past, I have : - Set up DynamoDB instances and posted text data used for NLP application - Extracted data from DynamoDB instances for machine learning model training -Implemented CRUD services for Apache Solr documents, used for a search engine web application.

Apache Solr DynamoDB AWS DynamoDB

React

1 year experience

My experience with React involved delivering an end to end solution for a music recommendation system, building both the backend with Fla...

My experience with React involved delivering an end to end solution for a music recommendation system, building both the backend with Flask and Spark MLlib, as well as building a user interface with React

React

SQL

3 years experience | 1 endorsement

REVIEWS FROM CLIENTS

Teo's profile has been carefully vetted and approved as a Codementor. Connect with Teo now, and leave a review for them once you're done!

EMPLOYMENTS

Senior Software Engineer

QuantumBlack

2021-05-01-Present

Led engineering team in building an in-house machine learning infrastructure platform for forward deployments

• Contributed to t...

Led engineering team in building an in-house machine learning infrastructure platform for forward deployments

• Contributed to the open-source ColabFold repository, improving database download from 1 week to 1 hour

• Led protein sequence design project by deploying AlphaFold, ColabFold 1TB RAM server and orchestrating other

protein engineering algorithms with AWS SageMaker and FSx for Lustre

• Managed Kubernetes clusters on AWS, enforced infrastructure as code, GitOps and CI/CD best practices with ArgoCD,

Helm, Terraform and CircleCI

• Designed, developed and deployed fine-grained access control across the product using Keycloak, Kubernetes and AWS

• Delivered a talk about AI applications and challenges for the London Business School MBA class

• Developed and deployed a full stack web application leveraging GPUs for neural network image classification using Flask,

AWS, MongoDB, MLflow, ArgoCD, Docker and Kubernetes

• Built oncology data pipeline for patient overall survival prediction using Apache Spark, Metaflow and OmegaConf

• Led engineering team towards building an SDK, API and full-stack application for mRNA sequence optimization

• Designed and created Docker and Kubernetes training programme content for intermediate level practitioners across the firm

Python

Azure

Kubernetes

Python

Azure

Kubernetes

Terraform

Argo CD

AWS (Amazon Web Services)

Data Engineer

BBC

2019-09-01-2021-05-01

• Developed production-grade, petabyte level batch and real-time processing pipelines for Python and R-based machine learning models perf...

• Developed production-grade, petabyte level batch and real-time processing pipelines for Python and R-based machine learning models performing BBC News, BBC Sports and BBC iPlayer user segmentation • Built, tested and deployed a recommender system used for BBC iPlayer email marketing campaigns • Delivered a talk about AI and machine learning use cases within BBC to 150 professionals at Rise London • Integrated and deployed MLflow for team’s machine learning models’ performance tracking across environments • Delivered Apache Airflow training across data analytics teams • Implemented version control, DataOps and MLOps best practices within BBC’s Audiences Data Science team

Python

Jenkins

Docker

Python

Jenkins

Docker

React

Apache Spark

Kubernetes

Teaching Assistant in Data Engineering

University College London

2018-09-01-2021-05-01

•Created and delivered content about Apache Spark, Apache Kafka, MLOps, Docker, continuous integration, data quality testing or web scrap...

•Created and delivered content about Apache Spark, Apache Kafka, MLOps, Docker, continuous integration, data quality testing or web scraping for MSIN0166 Data Engineering • Supervised student efforts towards deploying recommendation engines as REST APIs on GCP and AWS • Implemented Jupyter Notebook autograding with nbgrader for postgraduate assignments

Python

Google Cloud Platform

Apache Spark

Python

Google Cloud Platform

Apache Spark

Apache Kafka