Building AI applications and backend systems

• Shipped LDP enhancement using YANG data modeling and SIL implementation
• Built Python-based CLI command to interface with NETCONF protocols
• Collaborated with engineering teams to resolve bugs and deliver network infrastructure solutions

• Automated MPLS LDP verification with Python and internal frameworks
• Improved development feedback cycles and reduced regressions
• Fixed issues in embedded C and configured routers, protocols, and subnets

AI-native forensic platform. Architect cross-platform infrastructure (iOS, Web, Word, AWS, OpenAI) for agentic applications used by forensic pathologists to convert unstructured voice dictation into structured complete reports.

MCP Clinician

AI clinical decision support system using Claude Sonnet 4 for symptom analysis and differential diagnosis.

Open-source prompt engineering tool with AI-powered XML formatting using Claude API, Monaco editor, and real-time token counting.

AI-powered dental treatment iOS app with Whisper-based speech-to-text and AWS Bedrock for guided visit reports.