From open-source communities and student teams to enterprise AI.
Professional experience
Sep 2024 to Present
Oracle
Software Engineer · Applied AI
Building AI and ML capabilities for Oracle Communications Unified Assurance, an enterprise platform that detects, classifies, and diagnoses network faults across 200k+ devices.
Built Python and FastAPI ingestion workflows, incremental ML with River and TensorFlow, and RAG-based agentic systems that recommend remediation steps and self-correct during downtime, with MLflow for lifecycle monitoring.
Selected for Amazon’s ML Summer School, a two-month cohort led by Amazon data scientists focused on deep neural network architectures, sequential learning, and reinforcement learning.
Machine learning
Jun to Aug 2023
Korn Ferry
Backend Engineer Intern
Built a Python and Azure integration that let teams create and track Jira stories directly from Microsoft Teams, cutting turnaround time by nearly 60%.
Improved Terraform-based Azure provisioning, reducing deployment time by 30%. Also worked on .NET development and deployments with Docker and Kubernetes.