I'm an Applied AI Engineer, though I started out doing full-stack work, so I've shipped enough software to know the difference between a demo and something people actually rely on.
One half of my job is helping businesses automate the parts of their operation that eat time: a WhatsApp receptionist that handles hotel bookings, voice agents that chase leads, and the CRM workflow I'm currently leading development on at Globastaff that moves candidates through an entire immigration pipeline without anyone touching a spreadsheet.
The other half is helping products add AI where it's missing: RAG search, a scoring engine inside a resume analyzer, the kind of feature a client's app didn't have until I built it. Same underlying problem either way, just get the model to do something useful once real data and real users are involved.
I still write plenty of code by hand, which is exactly why I trust coding agents like Cursor, Claude Code, and Codex for the repetitive parts, plus Antigravity when I'm deep in UI work. Good tools just mean I ship more in a day.
Enterprise-grade discovery for operators who need a clear AI roadmap, a stack decision, and a fixed scope before any build starts.
Stakeholder ops interview and full systems inventory
Workflow map: agent-ready vs human-owned steps
Prioritized opportunity list by impact and feasibility
Stack recommendation: GHL vs custom, n8n, voice, chat
Risk, data, and integration constraints called out early
Written scope with architecture notes and a fixed build quote
GoHighLeveln8nMakeOpenAIHubSpotSalesforce
Custom AI Solutions
Bespoke AI software and computer vision builds when your product or ops need more than voice, store chat, or CRM automation.
Custom AI app or product feature scoped and shipped
ML pipeline or scoring engine on your ops data
RAG over private docs, APIs, and internal systems
Computer vision for cameras, sensors, or inspection
Edge or on-device inference when latency or privacy matters
Internal tools and dashboards wired to the models
PythonPyTorchOpenAIFastAPIReactNext.js
Website Development
A fast, mobile-first lead site that ranks cleanly, wires every inquiry into your CRM, and is structured so people and AI tools can find what you offer.
5 to 8 page lead-focused site on Next.js
Mobile-first layout with clear primary CTAs
Forms, click-to-call, and maps wired to CRM
Technical SEO: titles, meta, sitemap, robots, Core Web Vitals
Structured data (JSON-LD) on the pages that need it
Answer-ready page structure so AI search can cite you cleanly
llms.txt-style discovery so AI tools find your key pages
Handover docs and a 14-day bug-fix window
Next.jsReactTypeScriptTailwindVercelGoHighLevel
AI Voice & Front Desk
Your phone gets answered after hours, the caller gets qualified, and the job lands on your calendar.
Voice agent that books, reschedules, and cancels appointments around the clock.
Vapin8nGoogle Calendar+1View
Hackathons
I like building things
I actively participate in online hackathons and competitions on platforms like Devpost and Kaggle. It is incredible to collaborate with developers from around the world and build impactful AI solutions in just a few days.
Google DeepMind - Vibe Code with Gemini 3 Pro
Active/Remote
Built LabSnap AI, a smart assistant for science labs. It uses Google's Gemini Vision AI to read chemical labels and keep track of inventory automatically. I added voice controls so scientists can use it hands-free, and an AI safety system that warns them if they accidentally put dangerous chemicals together (like storing fire hazards next to oxidizers).
Contact
Available for select projects
Let's build something together
Start with how I work: scope, process, and what I don't take on. If it fits, book the call.