Efficiency
Automate manual workflows
Turn repetitive handoffs, inbox work, data entry, and review queues into systems that run without a person babysitting every step.
AI that removes bottlenecks
AI that scales your business without scaling the busywork.
Your team is buried in repetitive tasks, slow handoffs, and support work that does not grow the business. I build the AI systems that take that work off their plate, including one that processes ~15,000 hotel emails/day.
EfficiencyTimeMoney
What I do
I build systems around the work that costs you time, margin, and momentum.
Not chatbots for the sake of chatbots. Systems that remove bottlenecks and keep moving after the demo is over.
Time
Build assistants over your own data
Give your team a fast way to ask questions across docs, policies, product knowledge, and client files, with answers grounded in your sources.
Efficiency
Ship agents that handle busywork
Research, draft, classify, route, enrich, summarize, follow up. The boring loop gets handled. Your team stays in control.
Money
Integrate AI into existing systems
Add AI where the work already happens. CRM, support, internal tools, backend services, data pipelines. No side dashboard nobody opens.
Selected work
Real systems. Real volume. No fake logos.
The proof is what shipped and what number it moved.
Hotel email-response system
Shipped~15,000
emails/day
Automates responses that would otherwise eat a support team alive.
RAG-based email classifier on AWS Bedrock with Nova Micro in Frankfurt, FastAPI, pgvector, and Celery.
HeyData GDPR-compliance SaaS
Shipped~70%
less human support involvement
Production legal-research and customer-support assistant over 60+ legal PDFs. Real money and hours saved.
RAG assistant for legal research and customer support.
Website-crawler chatbot
Crawls a platform, builds a sitemap, and guides users through the product in natural language so support does not have to.
Custom CRM for crypto traders
Full backend for a CRM used by 500+ real users.
Four-agent AI content system
Research to draft to editor to publisher, built with LangChain and LangGraph.
Lead enrichment tool
Small, practical system for enriching lead data before outreach.
Wall-artist marketplace backend
Backend build for a marketplace product.
Stack used in production builds
PythonFastAPINext.jsAWS BedrockpgvectorLangChain/LangGraphCeleryRedisDocker
How I work
Direct, technical, tied to the result.
A one-person studio is the point. Less translation. Fewer meetings. Better software.
You talk to the builder
No account manager. No junior team. You work with Vusal, the person writing the code and making the technical calls.
Built around your business
The system follows your workflow, data, edge cases, and constraints. Not a generic chatbot with your logo on it.
Tied to a number
Hours saved. Support load cut. Revenue unlocked. If the work cannot move a real metric, it does not belong in the build.
Fast by default
Small scope. Clear first version. Direct feedback. Production code without the slow agency theater.
Start here
Tell me where your time and money are leaking. I will show you what AI can fix.
Email fallback: [email protected]