At Endava, I work as a Data and AI Architect, delivering data and AI solutions for clients including Tally, Flight Center, Datazoo, and Grover. For Tally, I developed an AI assistant for live customer calls that provides accurate information in real time and reduced call duration from 12 minutes to 4.
For Grover, I optimized Kafka and Glue jobs and the SQL full-load pipeline, reducing monthly S3 costs from about $16,000 to about $2,500 and pipeline runtime from 9 hours to 5. I also designed and implemented a Vertex AI MLOps pipeline for Datazoo, automating the machine learning workflow from data ingestion through deployment.
At Continental, I led development of the Map-Navigation component for an ADAS concept recognized among Continental Automotive Group’s top five contributions. I have worked across data engineering, machine learning, cloud platforms, and architecture, and hold GCP Professional certifications in Data Engineering, Cloud Architecture, and Machine Learning.
