Kiran Teja Lanke

Built an AI-powered health tracking app with support for 32+ Indian languages targeting rural and underserved communities.

• Integrated offline-first architecture and IoT medical device connectivity for reliable access in low-connectivity regions.
• Implemented domain-specific ML and LLM models for clinical report processing with 94% accuracy.

Developed Challenges module across CMS and React Native including course linking, schedule management, and admin workflows.

• Fixed school-level data isolation by implementing organization templates, enabling multi-tenant platform stability.
• Optimized 50+ Xano REST APIs, reducing response latency by 45% through indexing and query restructuring.
• Strengthened backend security with token authentication, input validation, and role-based access control.

Identified and resolved network bottlenecks, improving system throughput by 35% via QoS configuration and traffic optimization.

• Automated network monitoring and log analysis with Python scripts, reducing incident diagnosis time from hours to minutes.