A showcase of distributed systems, developer leadership initiatives, open-source software, and academic computer science research.
Agentic AI • LLM Systems
Dangentic.ai
Creator & Architect
An engineering platform and knowledge hub dedicated to the design, deployment, and practical mastery of agentic AI systems. Centered around "Create, Integrate, Automate," the site provides
comprehensive architectural blueprints and how-to guides for mastering LLMs, multimodal generative AI, and autonomous agent workflows.
The platform dives deep into modern multi-agent orchestration and integration frameworks, detailing real-world implementations using emerging standards like the Model Context Protocol (MCP)
and Agent Development Kits (ADK) for secure tool use and system control.
Architectural patterns for autonomous planning, reasoning, and tool execution
Deep dives into Model Context Protocol (MCP) & Agent Development Kits (ADK)
A high-availability, low-latency URL redirection and analytics microservice architected on Google App Engine. Engineered for rapid link resolution, sub-50ms redirect response times, and automated click-stream analysis.
Zero-maintenance auto-scaling serverless infrastructure on App Engine
Distributed memory caching with Memcache for lightning-fast slug lookups
An engineering culture platform and publication exploring the principles, habits, and mental models that distinguish high-performing technical teams. Focused on software craftsmanship, systems thinking, and developer velocity.
Practical guides on progressive refactoring and managing architectural debt
Strategies for cultivating psychological safety and blameless post-mortems
Bridging high-level executive strategy with daily code craftsmanship
Production-grade, thoroughly tested reference implementations of fundamental computer science data structures across multiple modern languages (Java, Python, JavaScript).
Custom Hash Tables supporting both separate chaining and open addressing (linear probing)
Singly and Doubly Linked Lists with generic type bounds and cycle detection
Automated unit test coverage verifying asymptotic time & space complexity
Academic research conducted as part of a Master of Science (M.Sc.) in Computer Science degree, culminating in formal publication in a peer-reviewed scientific journal.
Rigorous scientific methodology, experimental benchmarking, and algorithmic modeling
Peer-reviewed journal publication recognized in international academic indexing
Foundation for deep analytical thinking applied across enterprise distributed systems