Problem: Standard CMS platforms are often bloated and slow, requiring massive monolithic backends to serve simple content.
What I Built: A full-stack, decoupled blogging platform featuring a custom-built React CMS dashboard, secure JWT user authentication, and a headless REST API backend.
Result: A production-ready, highly-scalable platform capable of autonomously generating static SEO-friendly pages while restricting raw endpoints via custom middleware.
A rich text editor integrated seamlessly allowing for rapid blog post creation.
Server-side generated pages pulling directly from a custom NoSQL database implementation.
Encrypted user authentication restricting content creation to verified administrators.
Problem: Cybersecurity intelligence requires digesting massive amounts of raw log data in split seconds to respond to threats.
What I Built: A centralized React dashboard mapping simulated cyber intrusions to an interactive geographic UI for real-time threat intelligence.
Result: An immersive, command-center UI capable of digesting mock asynchronous WebSocket streams and mapping high-velocity telemetry onto actionable front-end components.
Mock intrusion alerts mapped in real-time onto an interactive geographical layout.
Simulated counter-measures panel allowing users to instantly block compromised IPs.
Detailed chronological history of all simulated network events and administrator responses.
Problem: Single-prompt LLMs fail at massive multi-step logical workloads that require external API access and tool routing.
What I Built: A dynamic multi-agent system utilizing LangChain to autonomously route and synthesize outputs from specialized Python worker scripts.
Result: Successfully engineered an autonomous "Supervisor" node traversing state graphs, validating parallel tool executions, and synthesizing modular results without human intervention.
Routes tasks intelligently to the most capable worker agent using an LLM-driven state machine.
Specialized nodes executing explicit Python scripts or API calls autonomously.
Global context injected into every prompt enabling multi-turn collaboration.
Problem: Rendering complex thousands-node relationship hierarchies causes significant UI lag when updating standard DOM elements.
What I Built: Programmed a high-performance JavaScript physics engine capable of dynamically rendering abstract data structures natively on the HTML5 Canvas.
Result: Achieved fluid 60fps graph interactivity leveraging custom mathematical friction, spring forces, and direct context rendering to bypass heavy framework bottlenecks.
Custom calculated friction and spring forces to organically place network nodes.
Drag, drop, and inspect nodes natively using HTML5 Canvas API context listeners.
Dynamic JSON ingestion scripts that instantly render graph nodes across the screen.