Currently serving as ML Technical Leader. Built a state-of-the-art Machine Learning Platform that automates work for Data Scientists and ML Engineers.
Developed AI agents for automated ML workflows and intelligent decision-making. Platform provides superior UX compared to MLFlow/Kubeflow
with features including scheduled feature collection, real-time serving, AutoML capabilities, model tracking, and unified API for REST/Streaming/Batch predictions.
Java
Spring
Python
TypeScript
Kubeflow
MLFlow
Docker/K8s
Kafka
Built data-driven application for 360-degree organizational data view. Designed and implemented
petabyte-scale Data Lake with high-quality data pipelines, enabling lightning-fast queries with minimal resources.
PySpark
Azure DataBricks
Delta Lake
CosmosDB
EventHub
Airflow
Built analytical data platforms processing 200+ daily ETL jobs. Implemented CI/CD testing framework,
performance optimization for data pipelines, and Azure Blob Storage integration. Created custom parsers
and UDFs for complex data transformations.
Apache Spark
Hive
Python
Java
Azure
MySQL