Adaptive Threat Response Orchestrator (ATRO)
A multi-agent cyber-defense project that explores using language models, contextual security data and network-monitoring agents to assist threat analysis and incident response.
THE SECURITY LAB · 27 GITHUB PROJECTS + 8 RESEARCH BUILDS
27 distinct public project repositories from both of your GitHub accounts, alongside eight research and engineering builds documented in your résumé. Explore cybersecurity, network and cloud defense, application security, AI, cryptography, IoT and software engineering.
Showing all projects
A multi-agent cyber-defense project that explores using language models, contextual security data and network-monitoring agents to assist threat analysis and incident response.
A résumé-backed research build combining anomaly detection, CVE enrichment, natural-language processing and searchable security knowledge in an analyst-focused dashboard.
A security-posture dashboard bringing together threat monitoring, vulnerability visibility, risk context and real-time operational insights.
A seven-phase interactive learning roadmap for growing from foundational skills into offensive security, defensive security, advanced practice, certifications and career pathways.
A safe local investigation MVP for analyzing email, documents, images, headers, URLs, domains, IPs and hashes—then surfacing evidence and a reasoned verdict.
A Wi-Fi defense project exploring Evil Twin and rogue access points, deauthentication attacks, WPA2 anomalies, wireless traffic monitoring and IDS integrations.
Security-advisory and high/critical CVE collection in Go, with concurrent crawling, structured results and practical report outputs.
A modular file-safety checker for upload weaknesses, file-injection patterns, path traversal, unsafe content, XSS, permissions, access controls and denial-of-service risks.
A secure-upload concept combining allowed-type and size checks with ClamAV and machine-learning-assisted malware screening and protected storage.
A Go security-tooling project investigating repeatable application scanning and vulnerability identification as part of a proactive development process.
Hands-on examples of CSRF-token generation, validation and safer request handling for both JavaScript and TypeScript applications.
A local-first monitoring app for domains you control: checks DNS, TLS certificate chains, registration and email-authentication records, without sending scan data to a central account.
Windows endpoint certificate discovery with a lightweight Go agent, TLS metadata probes and a reporting dashboard for tracking certificate evidence and relationships.
A GitLab-driven platform for composing Linux systems, validating security policy, managing remote fleets and orchestrating controlled deployments.
A modular recipe manager for assembling, validating and consistently applying reusable configurations on Debian-based systems.
A messaging interface exploring generated public/private key pairs, RSA-OAEP message encryption, decryption and clear encrypted-message indicators.
Explores restricting application access using device location and detected VPN-network signals, with configurable deny behavior.
A résumé-documented architecture for combining edge devices, AI-assisted anomaly detection and secure, decentralized trust between intrusion-detection nodes.
An automated testing concept for OWASP Top 10-oriented validation, regression testing, security reporting and CI/CD integration.
A public model-tuning repository exploring parameter-efficient LoRA fine-tuning workflows for Llama-family large language models.
A collaborative inference and model-compute experiment exploring peer-to-peer nodes and the Petals network for BLOOM language models.
A résumé-documented knowledge platform combining document ingestion, semantic retrieval, vector search and API-based contextual answers.
A focused workspace for revisiting Go fundamentals and strengthening the building blocks behind systems-security and backend projects.
A real-time Go chat server and client demonstrating gRPC bi-directional streaming and Protocol Buffers.
An embedded security build that brings computer vision, a Raspberry Pi and connected sensors together in a physical access-control prototype.
A collection of data-science learning and exploration material supporting continued work in analysis, machine learning and threat-data investigation.
A résumé-documented learning track through symmetric and asymmetric encryption, secure hashes, PKI, TLS, signatures, key management and post-quantum approaches.
A résumé-documented full-stack web application combining backend APIs, authentication, mapping and database-connected location visualization.
A résumé-documented backend build exploring REST APIs, JWT-based authentication, concurrent request processing and containerized deployment.
A published full-stack application for organizing and tracking a professional job-search workflow.
A Swift and Xcode iOS application exploring image discovery, user-driven generation and mobile application development.
An early-stage startup and product-design initiative. Its public repository outlines a modern frontend foundation; the concept’s specific product domain remains to be defined.
A machine-learning study repository covering neural networks, model building and exploratory experiments with the PyTorch ecosystem.
Ongoing technical exploration of quantum-resistant cryptographic approaches—including lattice-based, code-based, hash-based and multivariate families.
This public repository does not yet contain a project description. I’ve kept the listing intentionally accurate; more details can be added here when the project is documented.
These are areas of exploration rather than claims of finished production products: clearly marked, grounded in the projects and résumé, and open to further investigation.
Intrusion detection, resource-aware anomaly analysis and trustworthy communication across distributed IoT devices.
Applied encryption, PKI, TLS and signatures; exploring how post-quantum cryptographic approaches fit future systems.
Retrieval, context-sharing and human-reviewed AI assistance to help investigate threats without obscuring evidence.
CYBERSECURITY, END TO END
I’d love to discuss threat research, AppSec, network defense, infrastructure security, AI and defensive tooling.