Danny ODI — Websites, AI Automation & Security

About

One engineer.
Full-stack output.

Real software, shipped fast, by the person who builds it — not a sales layer over a subcontractor.

See the work

I'm Danny ODI — I build AI agent systems, web platforms, and cybersecurity solutions for businesses that can't afford a full team but can't afford to cut corners either. I don't run a bloated agency. I use Hermes to coordinate my AI-assisted development workflow, which lets me operate with the output of a team while staying lean, fast, and accountable.

More background

Before I was engineering software, I ran IT for a healthcare company. As the sole technology owner at Amity Healthcare Services, I administered their Microsoft 365 tenant and identity, provisioned users, mailboxes, and access, supported every workstation and network in the building, and handled systems holding protected health information — with no other technical staff to fall back on. I saw firsthand how much exposure a small practice carries with no IT team and no security policy. That gap is personal to me, and it's exactly why I offer HIPAA-aware security reviews built for the practices that need them most.

I also build and engine-swap cars by hand. The same systematic problem-solving that lets me drop an LQ9 into a Silverado solo is what I bring to every software project.

Technical depth. Real accountability.

Services

Three lanes.
One engineer.

Web platforms, AI automation, and cybersecurity — delivered without the agency overhead.

Web & Software

Web Development

Fast, modern websites and custom web apps — from marketing sites to full SaaS platforms. Deployed on Cloudflare, version-controlled on GitHub, built to scale.

Next.js & React web apps
Custom SaaS & client portals
Cloudflare deployment & CDN
GitHub-managed CI/CD pipelines
Payment & third-party API integration

Intelligence

AI Agents & Automation

I build autonomous agent systems that run your workflows, not just assist them. Built on the same multi-agent architecture powering my own AI Factory fleet.

Custom LLM agent pipelines
Multi-agent orchestration (Hermes-style)
Workflow automation & RAG systems
Telegram / Slack bot integrations
AI-assisted data extraction & reporting

Defense

Cybersecurity & Compliance

Security reviews built for small healthcare practices — no enterprise budget required. My healthcare admin background at Amity Healthcare means I know what a practice actually looks like from the inside.

Network & config vulnerability assessment
HIPAA-aware compliance audits
Log analysis & MITRE ATT&CK mapping
Plain-English remediation checklists
Staff security awareness briefings

Built with

Next.js React TypeScript Python PostgreSQL Cloudflare Docker GitHub

Selected Work

Software I build.
Businesses I serve.

Operating systems and web platforms engineered for professional services.

Interactive demo

SaaS CPA

An AI-powered operating system for modern accounting firms.

A multi-tenant platform connecting lead acquisition, client management, document workflows, scheduling, billing, and AI-assisted firm operations in one branded system.

Multi-tenant architecture for firm scaling

Automated API-driven client portal

AI-assisted suggestion queue & governance

Interactive demo · browser-local data

Next.js 16 Tailwind CSS 4 PostgreSQL

View Case Study

Public Platform

Public Homepage

A multi-brand entry point showing fictional CPA firms generated from one SaaS backend.

LedgerPoint CPA branded client-facing website

Client Experience

Branded Firm Website

A client-facing firm site with services, contact details, and booking entry points.

CPA staff portal login with pre-configured demo credentials

Security

Staff Login

A demo-safe login gateway for role-based access into the firm workspace.

CPA practice management dashboard with leads, tasks, and calendar bookings

Firm Operations

Firm Dashboard

A command center for leads, tasks, appointments, and AI recommendation queues.

01 / 04

Interactive demo

CounselOS

A legal operations workspace from public intake to matter completion.

A working product demonstration connecting client intake, staff workflows, matter progress, documents, communication, and client-facing transparency.

State-driven complex form validation

Matter timeline & task Kanban boards

Client portal mirroring progress in real-time

Interactive demo · explore it yourself

React Tailwind CSS TypeScript

Launch Product Demo ↗

Showcase Gallery

Multi-Brand Entry

A public entry point into three fictional law-firm experiences backed by one platform.

Firm Website

Meridian Law Website

A prospective client discovers immigration services and starts intake from the public site.

CRM Operations

Staff Dashboard

Staff review leads, matters, documents, tasks, and communications in one workspace.

CounselOS client-facing immigration portal

Client Experience

Client Portal

Clients see matter progress, assigned tasks, appointments, and document requests.

CounselOS interactive settings panel for user simulation

Administration

Demo Controls

Browser-local controls keep the demo resettable without exposing real client data.

01 / 05

Website concept

Rincon Latino

A bilingual digital storefront for a neighborhood supermarket and prepared-food business.

A mobile-first customer experience supported by owner-managed content, weekly specials, prepared-food menus, delivery requests, and AI-assisted bilingual workflows.

Fully bilingual English/Spanish client experience

Mobile-first actions & delivery request forms

Phone-friendly owner dashboard & AI drafting

Concept · design preview

Next.js 16 React 19 TypeScript

View Case Study

Rincon Latino mobile storefront homepage in English

Bilingual Site

Mobile Homepage

A warm mobile storefront for grocery, deli, bakery, and delivery discovery.

Grocery

Product Categories

Customers browse grocery categories and local store offerings from a phone-first layout.

Deli Menu

Prepared Food Menu

Daily prepared foods and local favorites are presented like a real neighborhood menu.

Grocery

Weekly Specials

A digital flyer showcases weekly deals, imports, and seasonal store items.

Operations

Delivery Request

A direct inquiry flow helps local customers request delivery without app fees.

Rincon Latino AI store assistant chatbot

AI Integration

Bilingual Assistant

An assistant answers questions about hours, menu items, directions, and specials.

Administration

Owner Dashboard

A manager dashboard supports quick updates to menus, specials, and assistant context.

01 / 07

Public website preview

Law Office of Ilori

A public website preview for a solo immigration attorney.

A public-facing law firm site preview with practice areas, attorney bio, FAQ, direct phone and email contact, and a mailto-based consultation request form. The separate Ilori Law application contains the private staff CRM and client portal.

Public site preview with phone/email contact

Mailto-based consultation request draft

Mobile-first and fast, no agency overhead

Public website preview · consult requests by phone/email

HTML5 CSS Vanilla JS

Open the Site ↗

Autonomous Systems Engineering

Catalyst Desk

A multi-agent automation platform I built and run for my own research and operations.

A real-time decision system built to operate without a human in the loop. Multiple specialized agents process live market data, reach consensus through a cloud AI ensemble, and act — while self-healing watchdogs keep the platform online and a remote command center is alerted the instant anything needs attention. The same architecture behind continuous security monitoring: ingest, decide, act, alert.

Event-driven, multi-agent orchestration

Self-healing watchdogs & automated recovery

Real-time alerting & remote monitoring over SSH

Self-hosted · runs unattended

Python AsyncIO Multi-Agent AI Real-Time Systems

uptime● self-hosted · unattended

agents3 active · consensus engine

ai braincloud ensemble (multi-model)

watchdog● self-heal armed

alertingreal-time · push notify

monitorremote · SSH · scheduled

Looking for a proven technical partner to build your next internal tool, client portal, or SaaS product? I handle architecture, UI/UX, and engineering.

Discuss Your Project

Methodology

How we build.

A disciplined, six-step engineering process with defined checkpoints and acceptance criteria.

1️⃣

Discovery

We define the exact business problem, technical constraints, and success metrics before writing a single line of code.

2️⃣

Architecture Mapping

I design the database schema, API contracts, and user flows, presenting a clear blueprint for approval.

3️⃣

Prototyping

We build high-fidelity interactive wireframes to validate the UX and secure stakeholder alignment.

4️⃣

Engineering Sprint

Heads-down development using my autonomous multi-agent pipeline to accelerate boilerplate and focus on core logic.

5️⃣

QA & Review

Rigorous automated testing, security checks, and a final staging review environment for your approval.

6️⃣

Launch & Handoff

Production deployment, performance monitoring setup, and comprehensive documentation handoff.

Defensive Security

Securing the overlooked.

Small healthcare practices hold some of the most sensitive data anywhere — usually with no security budget and no IT team. As an independent cybersecurity technician, I provide authorized, local security reviews that meet them where they are.

Authorized reviews of networks, configurations, and exposure — finding the gaps before someone else does.

HIPAA-aware security and compliance checks tailored to clinics and private practices, performed under strict NDAs.

Parsing firewall and network logs to detect anomalies, mapped to defensive frameworks like MITRE ATT&CK.

Clear, prioritized remediation checklists a non-technical office can actually act on — not a 40-page report nobody reads.

My approach & ethics ▾

Authorized only: Every engagement is scoped, written, and consented. No unauthorized testing, ever.

AI as a force multiplier: I use the same AI Factory tooling strictly for defensive analysis — log triage, config review, documentation. Operator-reviewed, never autonomous.

Confidential by default: Work is performed under NDAs and healthcare confidentiality standards — client names and findings stay private.

Always learning: Studying for CompTIA Network+ (N10-009) with Security+ next, plus hands-on RF, SDR, and wireless-security work in a dedicated lab.

Infrastructure Operations

I run what I sell.

I build and operate these systems for my own work first — monitoring, alerting, and documented runbooks included — and bring the same approach to client projects.

Zeek and Suricata running side by side against a live switch mirror port — protocol metadata plus signature-based intrusion detection across an entire network. Currently holding 924 MB of continuous telemetry: 220 MB of connection records and 331 MB of DNS queries with per-device attribution.

Wrote the ingestion pipeline and the detection logic myself — a Python service that tails network logs by byte-cursor into SQLite, parsing 1.26 million raw log lines into 554,000 structured rows across 264 discovered devices. Custom detection for beaconing, first-contact destinations, and new-domain appearance, with a triage interface and mobile alerting.

Three independent resolvers serving production clients across LAN and VPN — currently blocking 559,503 domains spanning advertising, tracking, and malware infrastructure. All upstream DNS is forced over HTTPS, automated cross-node sync runs daily, and a 15-minute health probe across all three nodes has caught real outages before users noticed.

An 11-node encrypted mesh spanning two physical sites and a mobile workforce across macOS, Windows, Linux, iOS, and Android. All peers connect direct, non-relayed, over dual-stack IPv4/IPv6. SSH key-only authentication enforced fleet-wide with password auth disabled, exit nodes for egress and ISP failover, and subnet routing for devices that can't run a client.

17 containerized services on a hardened host — deliberately segmented between LAN-exposed, loopback-only, and VPN-only access. A firewall rule blocks the entire LAN subnet from remote-desktop and database ports while preserving VPN access, with centralized syslog collection from network devices on UDP 514.

Re-flashed consumer routing hardware to custom firmware and converted it to a managed access point and switch — configuring port mirroring to feed the security sensor, forwarding syslog to a central collector, enforcing management ACLs by source IP, and running WPA2/WPA3-PSK with Management Frame Protection. Includes live layer-1/2 troubleshooting of a full wireless outage.

Where this runs, and why it's on this page ▾

It's my own infrastructure: This is my network, my servers, my DNS, monitored and maintained continuously. I'm not reselling someone else's platform or quoting a datasheet.

Why it matters to you: Anything I build for a client runs on the same discipline — segmented, monitored, documented, and able to tell you when something breaks before your users do.

Every number is real: Verification available on request. Where I can't measure something, I don't claim it.

Documented, not improvised: Every system above has a written runbook, and recurring failures get root-caused and recorded so they don't repeat.

The System

Amplified by Intelligence.

I don't operate as a standard freelancer. I've engineered a sophisticated internal system—the AI Factory—that acts as an autonomous production pipeline. This allows me to deliver agency-level output as a lean studio.

Agents analyze documentation, competitor landscapes, and API specs to build comprehensive technical briefs before development begins.

The system generates boilerplate code, database schemas, and standard UI components, allowing me to focus entirely on custom business logic.

Static analysis, accessibility auditing, and performance checks are part of the build pipeline for my projects.

Nothing ships without manual code review, design polish, and strategic oversight. The AI accelerates; the human refines and approves.

View Infrastructure & Hardware Specs ▾

Command Center: Mac Mini M4. Runs the operator dashboard and orchestrates task dispatch across the fleet.

GPU Worker: Ryzen 5 5600X, RTX 3060 Ti, 64GB RAM. Local inference, image generation, model training.

Research Worker: MacBook Pro M2. Handles scheduled background research and QA checks.

Container Server: Intel i7-9700K, 24GB RAM. Runs 17 containerized services — Postgres + pgvector, MinIO object storage, centralized syslog, DNS filtering, and a custom-built unified security dashboard.

Network Security Sensor: Ryzen 5 3600X, 16GB RAM. Dedicated host running Zeek and Suricata against a live switch mirror port, with GPU-accelerated object detection.

Encrypted Mesh: 11 nodes across macOS, Windows, Linux, iOS, and Android — direct peer-to-peer over dual-stack IPv4/IPv6, key-only SSH, exit-node failover.

Technical Stack

Tools & Capabilities.

Front-End Engineering

Next.js React TypeScript Framer Motion Tailwind CSS Web Vitals Accessibility State Management

Back-End & Architecture

Node.js Python PostgreSQL Prisma ORM REST / GraphQL Docker CI/CD Pipelines RBAC Security

AI & Automation

LLM Integration RAG Architecture Vector Databases Agentic Workflows Prompt Engineering Browser Automation Cron Scheduling Local Inference

Production & Hardware

Linux Server Admin Homelab Scaling Cinematography Color Grading Audio Engineering ComfyUI Automotive Mechanics Fabrication

Get In Touch

Let's build
something.

Whether you're a brand, a business, or just want to connect — I'm here.

Websites, AI automation and security work — tell me what you're trying to solve and I'll reply with next steps.

✉️ hello@dannyodi.com

Your Name

Email

Project Type

Estimated Budget

Project Details

Please don't include patient information or passwords.

Websites and AI automation for your business.

One engineer.Full-stack output.

Three lanes.One engineer.

Software I build.Businesses I serve.