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, AWS, OpenAI) for agentic applications used by forensic pathologists to convert voice dictation into structured drafts.

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.