Earlier writing and projects remain available here for reference. The main pages are reserved
for the work that best represents what I am exploring now.
A beginner-friendly guide to 40 common Linux commands, with safer examples and notes about permissions, portability, and destructive actions.
Archived projects
Completed or superseded projects kept as part of the record.
4 projects
AI & RAG
Mission Cipher
Created a Graph Retrieval-Augmented Generation (GraphRAG) web app that answers Mission: Impossible questions with context-aware, generative responses. The system enhances traditional RAG by combining cosine-similarity search on semantic embeddings with a dynamically constructed knowledge graph, enabling deeper contextual understanding. A Flask backend builds and queries the graph using NetworkX, while a language model generates responses based on rich subgraph context. The application runs under Gunicorn (WSGI) and is fronted by NGINX as a reverse proxy, with communication handled via a Unix socket for secure, low-latency performance. Hosted on multi-zone Google Compute Engine, the service leverages GCE's 99.99% uptime SLA, with tightly scoped ingress rules for high-performance, secure access.
Designed and deployed a secure, real-time log-analytics platform on Google Cloud that ingests, processes, and visualizes network logs end to end. Architected a custom Virtual Private Cloud (VPC) sliced into three /24 subnets—x.y.1.0/24 (web), x.y.2.0/24 (application), and x.y.3.0/24 (processor)—each pinned to dedicated Compute Engine VMs to enforce zero-trust micro-segmentation and east-west isolation. Granular, stateful firewall rules admit traffic only from whitelisted IP prefixes and service accounts. Logs are encrypted in flight over SSH, transformed with Python, staged in Cloud Storage, and streamed through Pub/Sub to invoke Cloud Functions (1st gen.) that load structured data into BigQuery. A hardened Flask API—exposed via HTTPS and IAM-based authentication—delivers controlled, low-latency access to analytics, providing scalable, compliant, and high-performance troubleshooting insights.
Built an interactive visual learning platform (Graphil) using React to simplify complex technical topics—including Linux, GCP, networking, Python, and AI—through modular, pre-rendered visualizations. The intuitive UI/UX design enables self-guided exploration of technical subjects, enhancing comprehension for visual learners. The platform is open-source, encouraging community collaboration and extensibility.
Compiled a comprehensive and holistic compliance framework covering 15+ critical domains (e.g., Cybersecurity/CyberSecOps, Data Privacy (GDPR, CCPA), PCI DSS, IT Best Practices, Legal & Operational Standards) for a fictional grocery delivery startup. This proactive resource demonstrates the potential to streamline onboarding and reduce initial legal/compliance research overhead by an estimated 5–10%.