Dinesh Dawonauth

An interactive algorithm visualization platform that executes real implementations step-by-step using JavaScript generators.

• Architected a generator-driven execution engine where each yield represents an actual algorithm operation, ensuring visualizations stay perfectly synchronized with real code logic.
• Implemented 20+ algorithms across 6 categories (sorting, pathfinding, trees, graphs, interview problems, patterns) with adjustable playback speed and deep-linkable states.
• Built comprehensive learning pages with KaTeX-rendered complexity analysis, multi-language code examples, and interactive preset demos.

A high-performance, offline-first interactive iOS app combining terminal simulation, gaming, and cinematic storytelling.

• Engineered a 60fps mobile-native experience using Capacitor and Next.js, featuring custom delta-time physics and optimized parallax rendering.
• Implemented a complex state machine using Zustand to manage biometric auth simulation, mini-games, and terminal encryption puzzles.
• Designed a polished "love letter" software architecture with strict TypeScript safety and zero-latency transition effects.

An AI orchestration platform for structured debates between Large Language Models.

• Identified the need for transparent AI model reasoning; built a platform to facilitate unbiased comparisons.
• Orchestrated complex multi-agent flows using real-time streaming to visualize logic paths and debate outcomes.
• Resulted in a reusable benchmarking tool for testing and validating LLM argumentation capabilities.

A zero-knowledge, offline-first terminal-based password manager.

• Built a secure, local-only secret manager using strong cryptographic primitives and Python's Textual framework.
• Designed an intuitive TUI (Text User Interface) to provide a premium developer experience without network dependencies.
• Eliminated external attack vectors by enforcing a strict offline-first architecture for sensitive data storage.

• Architected automated data pipelines and dashboards serving 300K+ members, reducing manual reporting time by 40%.
• Collaborated with engineering to translate business requirements into scalable analytical solutions.
• Identified operational bottlenecks through trend analysis, implementing optimizations that improved efficiency by 25%.

• Developed interactive dashboards using Tableau and SQL to drive executive decision-making.
• Implemented robust data validation scripts, improving data accuracy by 35% across the platform.
• Utilized SQL for complex query optimization and ad hoc analysis to support operational teams.

• Analyzed large datasets consisting of 30K+ records using SQL and Python to support institutional reporting.