Vito B.-AI Architect | LLM & Agentic AI for Manufacturing, MedTech, FinTech, SaaS, IoT
Check rate
Experience
AI Architect & Engineer (Founder)
Arcate
Impact: Arcate turns scattered customer signals into ranked product decisions for B2B product teams. Every initiative is prioritized by revenue at risk. Every decision is traceable from customer quote to board slide. Built solo, deployed in production. Model validated at Kendall's tau = 0.924 vs. senior PM judgment across 60 simulation runs.
Skills: Artificial Intelligence, AI Agent, Large Language Model (LLM), RAG, Model Context Protocol (MCP), Agentic Workflows, Supabase, TypeScript, Deno, PHP, Stripe, PostgreSQL, Product Strategy, Positioning, GTM
Capabilities:
Signal Ingestion: Slack, Intercom, Gong, Salesforce, HubSpot. Signals classified by business severity to prioritize revenue-risk decisions.
Revenue Scoring: Fermi Leverage model. Initiatives ranked by customer ARR at risk, signal strength, and multi-account confirmation.
Roadmap Intelligence: Every bet traceable from raw customer signal to scored, board-ready decision.
Built:
MCP Server (v0.10.0): 12 tools, JSON-RPC 2.0, Supabase Edge Functions, SHA-256 API key authentication.
Scoring engine: Log-scaled ARR weighting, sqrt-dampened signal strength, multi-account signal confirmation.
Agentic Workflows: 18 automated pipelines covering release, provisioning, design QA, guard QA, and signal ingestion via Slack agents.
AI Skills: 7 codified skills including CEO Prioritizer, Design System Enforcer, MCP QA, Simulation Runner.
Automated QA: Browser-based screenshot validation of every screen against design tokens on every build.
Full SaaS: Auth, billing, media pipeline, design system. Deployed solo in production.
Stack: Supabase (Auth, DB, Edge Functions, Realtime), Stripe, Cloudinary, PHP, TypeScript, Deno
Product Consultant (External)
Endress+Hauser AG
Impact: Reduced Customer Effort Score from 3.53 to 1.47 in 6 months on a 47-step industrial configurator. Sales capacity freed by 30%. Validated independently by the E+H CX team.
Skills: Artificial Intelligence, Large Language Model (LLM), UX Research, Product Strategy, Customer Experience, User Testing, Signal Processing Industrial automation. 47-step configurator forced buyers onto phone calls.
Problem: Cognitive overload point identified. Buyers abandoned digital flow and called sales.
Approach: 30+ customer interviews. Interview transcripts analyzed with LLM-based VoC synthesis to extract and cluster cognitive friction patterns. Configurator logic restructured using progressive disclosure.
Result: Customer Effort Score 3.53 to 1.47 in 6 months. Freed 30% sales capacity.
Product Consultant, Health SaaS
Klenico Health AG
Impact: Reduced psychiatric diagnostic report generation time from 3 hours to 20 minutes by redesigning the ICD-10 assessment logic, data structure, and question wording.
Skills: Product Management, Product Strategy, Data Modeling, UX Research, SaaS, Health IT ICD-10-based assessment system for psychiatric diagnostics.
Assessment model redesign: Logic, data structure, and question wording optimized
Pipeline: Collect patient responses, process data, generate diagnostic report
Result: Diagnostic report generation reduced from 3 hours to 20 minutes
Domain: Mental health diagnostics, health SaaS, evidence-based assessment, ICD-10
Co-Founder / CPTO
Messerheld
Repair-as-a-Service for kitchen knives with avg 5.0 reviews and organic growth only.
Found ICP and demand → Delivered properly.
Put customer service as a main product feature in front of the customer
Built the product, tech stack, brand and positioning
Built a custom 3-way comms and delivery status portal
Built a sustainable packaging to handle multiple orders
Custom-built customer support automations
Made it into Falstaff and Business Punk
Product Lead, IoT and Data Engineering (Founder)
Akeetsu
Impact: Designed and prototyped an IoT mosquito surveillance platform for public health authorities. Coverage spans PCB hardware, signal-processing-based species classification, and seasonal outbreak prediction. Delivered in 5 hardware iterations over 6 months.
Skills: IoT (Internet of Things), Signal Processing, Predictive Modeling, Embedded Systems, Data Analysis, Product Management Mosquito trap platform for municipal health authorities and public disease prevention. Real-time species classification and seasonal outbreak prediction.
Wingbeat frequency analysis for species classification (signal processing)
Lifetable models: Weather and seasonal data for population forecasts (prediction)
5 hardware iterations in 6 months. PCB-based detection. Deployed forecast engine with population dynamics algorithms (forecast.akeetsu.com)
First unified mosquito data model: Life cycle, behavioral patterns, taxonomies, lifetable models
End customers: Public health departments, municipalities, public vector control
Product Lead, Digital Commerce (External)
KSB AG
Impact: Grew digital orders by +90% and added +€10M in digital revenue over 3 years by redesigning an eProcurement platform around differentiated user personas and removing validation blockers. Skills: Product Management, E-commerce, UX Research, Data Analysis, Product Strategy, B2B eProcurement platform. 3 years.
User behavior analysis over 3 years. Flow architecture tailored by user persona (engineer vs. procurement)
Validation blockers identified and removed
Result: Orders +90%, +€10M digital revenue
UX Lead, B2B Marketplace (External)
ZAGENO Inc.
Impact: Built the search and discovery layer for a 1.4M-product lab supply marketplace. The platform supported the company's growth from Seed to Series B. Built by translating fragmented supplier data into a unified comparison interface optimized for scientific purchasing.
Skills: Product Management, Search Algorithm, E-commerce, B2B, Product Strategy, Data Analysis, UX Research Lab supply marketplace. Seed to Series B.
Search algorithm built for 1.4 million products. Side-by-side comparison tailored to scientific purchasing patterns
Fragmented supplier data translated into a unified discovery platform
Founder & Product Lead
Space Bonding
Impact: Built an EXIST-funded SaaS for municipal governments that routes qualitative citizen signals through probabilistic systems to generate structured, evidence-based urban development decisions.
Skills: Product Strategy, SaaS, Data Analysis, Product Management, UX Research Evidence-based SaaS for urban development. Funded by EXIST grant. 7 years.
Phase-Zero methodology: Route qualitative signals (citizen feedback) through probabilistic systems
Output: Structured decision foundations for municipal governments
Market Intelligence and Marketing Operations
SAP
- Development of internal tools for market potential analyses.
- Optimization of flows for online campaigns and lead generation
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Government and Administration, Retail, Manufacturing, Healthcare, and Biotechnology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Product Development, Research and Development, Strategy, Marketing, and Information Technology.
Summary
B2B companies hire me to build AI systems that go into production and drive decisions from real customer data.
I specialize in LLM integration and orchestration, RAG system development, AI agent and multi-agent pipelines, and MCP server engineering.
I design and build the system myself, without handoff between strategy and implementation. My own agentic product intelligence platform, Arcate, runs in production and ranks product decisions by customer revenue at risk. Its ranking correlation with senior PM judgment is Kendall's tau = 0.924.
Typical deliverables: MCP servers, agentic workflow pipelines, signal-to-decision scoring systems, RAG architectures, AI skill codification.
Skills
Ai/Ml Engineering:
- Mcp (Model Context Protocol): Server Implementation, Tool Design, Prompt Engineering
- Agentic Workflows: Multi-Step Automation, Ai Skill Codification
- Llm Integration: Context Engineering, Rag Patterns, Structured Output
- Scoring Algorithms: Fermi Models, Evidence-Based Ranking, Signal Processing
- Automated Qa: Browser Automation, Screenshot Validation, Design Token Enforcement
Infrastructure:
- Supabase (Auth, Database, Edge Functions, Realtime)
- Deno/Typescript (Edge Functions, Mcp Server)
- Php (Full-Stack Applications)
- Javascript/Html/Css (Frontend, Design Systems)
- Stripe (Checkout, Billing, Subscriptions)
- Cloudinary (Media Pipeline)
- Git
Data/Intelligence:
- Signal Processing And Classification (Akeetsu: Frequency Analysis)
- Probabilistic Systems (Space Bonding: Routing Qualitative Signals)
- Diagnostic Data Models (Klenico: Icd-10)
- Voc Synthesis And Scoring (E+H: 30 Interviews, Tau=0.924)
- Iot Telemetry And Predictive Modeling (Akeetsu: Lifetable)
Languages
Education
Staatliche Hochschule für Gestaltung Karlsruhe
Degree with distinction, Focus: Semiotics, Semantics, Systems Theory · Media Arts · Karlsruhe, Germany · 1.0
Statistics
Experience
Global experience
Expertise
Profile
Frequently asked questions
Have questions? Find more information here.
Vito is based in Berlin, Germany and prefers 100% remote projects.
Vito speaks the following languages: German (Native), Italian (Native), English (Advanced), French (Elementary).
Vito has at least 17 years of experience. During this time, Vito has worked in at least 9 different roles and for 9 different companies. The average length of individual experience is 2 years and 11 months. Note that Vito may not have shared all experience and actually has more experience.
Based on recent experience, Vito would be well-suited for roles such as: AI Architect & Engineer (Founder), Product Consultant (External), Product Consultant, Health SaaS.
Vito's most recent position is AI Architect & Engineer (Founder) at Arcate.
In recent years, Vito has worked for Arcate, Endress+Hauser AG, Klenico Health AG, Messerheld, and KSB AG.
Vito is most experienced in industries like Information Technology, Government and Administration, and Retail. Vito also has some experience in Manufacturing, Biotechnology, and Healthcare.
Vito is most experienced in business areas like Business Intelligence, Product Development, and Research and Development. Vito also has some experience in Strategy, Marketing, and Information Technology.
Vito has recently worked in industries like Manufacturing, Retail, and Information Technology.
Vito has recently worked in business areas like Product Development, Business Intelligence, and Sales.
Vito attended Staatliche Hochschule für Gestaltung Karlsruhe for Media Arts.
Vito is immediately available part-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 26 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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