Jan 2023 – Present · 3 yrs 2 mos · Remote

• Driving MLOps, Data Engineering and Machine Learning industry forward by helping professionals Level Up in these disciplines.

May 2022 – Dec 2022 · 7 mos

• Contributed to the development of end-to-end Machine Learning platform capabilities in a highly secure environment.
• Focused on leveraging AWS SageMaker and supporting AWS services to enable scalable experimentation and model deployment.
• Collaborated with the team to build reusable template libraries, streamlining the process of running ML experiments and deploying models efficiently and securely.

Jan 2022 – May 2022 · 4 mos

• Led cross-functional teams of Cloud Engineers and Data Platform Engineers, driving key infrastructure and data initiatives.
• Spearheaded a company-wide Cloud-Native Transformation initiative to modernize applications and infrastructure.
• Championed the migration to Infrastructure as Code (IaC), standardizing infrastructure provisioning using Terraform for improved scalability, consistency, and automation.

Jul 2021 – Jan 2022 · 6 mos

• Led a Team of Data Engineers.
• Led a Team of Data Platform Engineers.
• Initiated and led a successful company wide Cloud Native Transformation.
• Migrated entire Data Platform Stack to Kubernetes. This included:
• Airflow.
• Superset.
• Spark.
• MLFlow.
• Flink.
• Airbyte.
• DataHub.
• Introduced first Stream Processing applications that moved some of the Data Warehouse Processing stages upstream the pipeline.

Dec 2019 – Jun 2021 · 1 yr 6 mos

• Led a team of Data Engineers.
• Initiated and led a Data Warehouse migration from Redshift to Snowflake effort. It also included a refactoring of the Data Model.
• Oversaw Data migration from a Druid cluster to Redshift and later Snowflake.
• Introduced and rolled out Machine Learning Experiment Tracking System.
• Deployed and maintained first on-prem Kubernetes Clusters in the company.

May 2019 – Nov 2019 · 6 mos

• Led a successful implementation and optimisation of a custom Website Activity Tracking Ingestion Pipeline.
• Deployed and rolled out a company-wide Airflow Cluster.
• Led a full migration from Jenkins to Airflow for Data Engineering Pipelines.

Jun 2018 – Apr 2019 · 10 mos

• Responsible for end-to-end development of ML-based products and big data solutions:
• Identified business use cases suitable for machine learning and translated them into technical solutions.
• Designed and implemented the full ML lifecycle, including data extraction, cleaning, validation, model training, packaging, and deployment.
• Contributed to the architecture and development of scalable big data ingestion pipelines.
• Set up and configured Kafka topics; developed real-time processing applications using Kafka Streams and Spark.

Apr 2018 – May 2018 · 1 mo

• Projects I worked on:
• Affordability model enhancement using transaction data.
• Bringing transaction data into Balance Sheet stress-testing.
• Unlocking potential of transaction data throughout Risk Management function.
• Stress-testing of REA components and dynamic analysis on different credit portfolio levels.
• Process optimization and automation. Preparing models for production placement.

Dec 2016 – Mar 2018 · 1 yr 3 mos

• Projects I worked on:
• Retail customer affordability project in Big Data analytics team.
• IFRS9 Life-time probability of default (LTPD) model development.
• IFRS9 Prepayment model development.
• IFRS9 impact on P&L analysis.
• IFRS9 and pre-IFRS9 ECL stress-testing and reporting.
• REA stress-testing and dynamic analysis on different credit portfolio levels.
• Process optimization by both improving old approaches and introducing new technologies.

Aug 2016 – Oct 2016 · 2 mos

• Was responsible for generating business analysis reports for management.

Mar 2016 – Nov 2016 · 8 mos

• Was responsible for implementation of Solvency2 regulatory standards and providing required reports.

May 2014 – Feb 2016 · 1 yr 9 mos

• Was responsible for calculation of Technical Reserves for Non-Life insurance products by applying different triangulation methods.