Selected for a competitive fellowship focused on building real-world pipelines and backend services. Building skills in ETL/ELT ,event streaming , and orchestration using Kafka, Airow, PostgreSQL, Python . Practicing engineering habits important for startups: fast iteration, reliability, clean interfaces, and documentation. Exploring integration of LLM/RAG components into backend systems for product-like features (search/Q&A).

Data Engineer (Project) at SDU Technopark

January 1, 2024 - December 31, 2024

Data Engineering Project (SDU Technopark) Real-Time Analytics Pipeline: Built a pipeline to process event-like data end-to-end: ingestion ! transformation ! storage ! API for dashboards. Designed schema and queries to support product metrics (e.g., behavioral events and aggregated analytics).

AI/ML Project Developer at Personal & Academic

January 1, 2024 - Present

AI/ML Project Developer (Personal & Academic) Built ML/NLP prototypes (classification, retrieval, text analytics) with reproducible evaluation and clear outputs. Automated data extraction/parsing workflows and improved data quality with validation checks.

Data Engineering Project — Real-Time Analytics Pipeline at SDU Technopark

January 1, 2024 - December 31, 2024

Designed and built a real-time analytics pipeline using Kafka, Airflow, PostgreSQL, and FastAPI. Implemented data ingestion, transformation logic, warehouse loading, and REST API endpoints for dashboards.

AI/ML Project Developer at Personal & Academic Projects

January 1, 2024 - Present

Developed ML models for classification, prediction, and text analytics. Built AI chatbots and semantic retrieval systems using embeddings and vector search. Designed data cleaning, feature engineering, and visualization workflows; implemented automation scripts for data extraction, parsing, and transformation.