Implemented data pipelines fetching data from multiple sources, cleaning and restructuring them for PostgreSQL. Vectorized data using OpenAI and Gemini embeddings. Employed Qdrant and pg_vector for vector storage. Shifted database to Kubernetes (EKS) for high availability.

Automated alerts and Salesforce case creation using Apache Airflow DAGs and Google Composer. Developed pipelines for active segment analysis and automated actions using Google API, Pandas, and BigQuery. Managed FBR process workflows on Compute Engine.

Assisted 200+ students in programming labs, focusing on OOP principles. Redesigned and refined teaching materials to be more engaging and accessible. Guided successful completion of semester projects, improving exam performance by 15%.