At Deloitte, I support a business-critical pharmaceutical case-processing platform, investigating production failures across AWS, PostgreSQL, APIs, logs, and application data.
I built a Python AWS Lambda monitoring solution that reduced manual monitoring by about 30%, saved roughly one hour per day, and cut detection time from around 30 minutes to five minutes. I also supported migration of approximately 250,000 historical pharmaceutical cases.
Previously at HPE, I designed ETL and streaming pipelines with Python, PySpark, Airflow, and Kafka, improving pipeline throughput by 35%. I also containerized data applications across AWS and Azure and built Tableau and Power BI dashboards that increased business-intelligence adoption by 25%.
I build AI proofs of concept spanning RAG, LLM evaluation, vector search, computer vision, and FastAPI inference services, including an academic learning assistant and an aerial object-detection platform.
