Back to Experience
Oct 2022 - Sept 2024
Accenture
Custom Software Engineering Associate
Engineered scalable end-to-end ML systems and data pipelines, integrating AI solutions with legacy architecture. Built predictive models for claims analytics and automated production workflows.
Key Achievements
- Built end‑to‑end ML models for claims analytics, improving accuracy by 30% and reducing processing time by 50%.
- Designed ETL/data pipelines with Python, SQL, and Airflow, improving data availability and reliability.
- Built feature engineering and model evaluation workflows to improve model quality and business usability.
- Deployed containerized ML services with Docker + Kubernetes, and set up CI/CD for production delivery.
- Integrated AI solutions with legacy systems to deliver real‑time insights for underwriters and product teams.
- Collaborated with cross‑functional teams to align data architecture and production requirements.
TB+
Data Scale
+30%
Accuracy
Global
Users
Technologies & Tools Used
Java
Spring Boot
React
Kafka
AWS
Docker
Kubernetes
Airflow
Python
SQL