Mounika Pavuluri

I’m an AI Software Engineer with 3+ years of experience building reliable backend systems that power intelligent, AI-driven solutions. I’m passionate about maintainable, scalable software that connects data, automation, and real-world impact—especially through production-oriented ML workflows.

At FabMindz LLC, I engineered an AI-driven SAP security analytics platform in Python and Flask to identify abnormal system behavior across enterprise environments. I built anomaly detection workflows using Isolation Forest and Median Absolute Deviation (MAD), implemented SQLite-backed persistence for investigation workflows, and improved alert triage efficiency by 30% through incident correlation logic.

I also developed RESTful APIs with LLM/NLP-based summarization to support anomaly retrieval, analyst assignment, incident lifecycle tracking, and reporting. To keep delivery reliable and repeatable, I containerized AI backend services with Docker and integrated CI/CD using GitHub Actions and AWS ECR.

Before that, as an Associate Data Engineer (promoted from Intern) at Visionyle Solutions, I built SQL and Python-based data workflows and supported AWS ETL/ELT pipelines with S3, Glue, Athena, and CloudWatch. I drove data quality checks (null handling, duplicate detection, schema validation, source-to-target validation), improving data accuracy by 25%, and automated recurring preparation and validation tasks to reduce manual effort by 30%.