Daniel (Lordson) Arnan-AI Developer & Solution Architect

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Experience
Sales Development Representative (SDR)
TenderFlow GmbH
- Acquires new B2B customers for an AI SaaS startup in the public tendering space and books product demos with IT decision-makers.
- Qualifies target customers based on a defined ideal customer profile, including discovery, needs analysis, and objection handling.
- Builds domain knowledge in public procurement (EVB-IT, German and EU tender portals) for technical discussions at eye level.
Autonomous Agents for Knowledge and Task Management
Self-developed
Python, Anthropic Claude, launchd, Telegram API
- Runs four agents in daily operation: data intake, LLM classification, structured storage.
- Implements error handling, retries, model routing, and cost control for LLM calls.
Ecclesia AI — AI-powered team and knowledge platform
Own Product (Pilot Project / SaaS)
Python/FastAPI, Supabase, Google Gemini
- Designed and implemented a web app to prevent knowledge loss ("bus factor") and support process management in organizations.
- Integrates Google Gemini as a co-pilot for live support, onboarding, and interactive team training.
- Builds modules for team management, shift planning, incident reports, and anonymous feedback systems.
AI Developer & Solution Architect
School of Tyrannus
School-wide learning platform — architecture, implementation, operations
Next.js, Supabase, PostgreSQL
- Builds and runs a school-wide platform with authentication, role model, and real-time dashboard; in productive weekly use.
- Responsible for the data model and Row-Level Security policies for tenant-separated access.
- Also leads the four-person tech team and handles the technical setup on site.
Church PWA with AI Assistant — client project
Bethesda House of Grace
PWA, Supabase Edge Functions (Deno/TypeScript), Push, Cron
- Developed a Progressive Web App with four Edge Functions, knowledge base sync, push notifications, and scheduled jobs.
- Built a serverless architecture without its own runtime; operations and support are still running.
Tenant-Separated AI Infrastructure
Eigenentwicklung
Google Cloud, Vertex AI, Service Accounts
- Replaces a shared API key with a cloud organization with one project per customer.
- Sets up keyless authentication via service accounts, EU region, and cost allocation per customer.
Sales Representative (D2D Telecom Expert)
D.A. Direktvertrieb
- Advises customers in field sales on fiber optic infrastructure (FTTH) and acquires new private customers.
Self-Employed Appointment Setter
ETF Elias
- Responsible for lead generation and scheduling appointments; CRM-supported workflow optimization.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Banking and Finance, Information Technology, Government and Administration, Education, and Telecommunication.
Business area experience
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Experienced in Sales, Marketing, Information Technology, Operations, and Product Development.
Summary
AI developer and solution architect with production experience: builds AI-powered web apps, RAG assistants, and automations that run every day — no prototypes. Currently in use: a school-wide platform with authentication, role model, and real-time dashboard, several Supabase backends with Edge Functions and cron jobs, plus four autonomous agents with LLM classification. Privacy built in from the start: EU data residency, data processing agreements, tenant separation through Row-Level Security. Backed by B2B sales experience — understands business teams and explains technical decisions in a way that works outside IT.
Skills
Ai & Llm
- Prompt Engineering
- Llm Integration
- Rag
- Ai Agents
- Anthropic Claude
- Google Gemini
- Vertex Ai
- Notebooklm
Development
- Python
- Fastapi
- Typescript
- Javascript
- Next.Js
- Deno
- Supabase / Postgresql
- Row-Level Security
- Rest Apis
- Html/Css
- Pwa
Operations & Architecture
- Supabase Edge Functions
- Docker
- Cloud Run
- Cloudflare Pages
- Cron / Scheduling
- Git / Ci-Cd
- Monitoring
Privacy
- Gdpr
- Data Processing Agreement (Dpa)
- Eu Data Residency
- Tenant Separation
- Deletion Concepts
Process & Sales
- Process Automation
- Requirements Analysis
- B2b Outbound
- Hubspot
- Public Procurement (Evb-It, Vgv/Uvgo)
Languages
Education
Gymnasium Heißen
A-levels · Mülheim, Germany
Certifications & licenses
Google AI Essentials
Introduction to Generative AI Learning Path
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Daniel is based in Mülheim, Germany.
Daniel speaks the following languages: German (Native), English (Advanced).
Daniel has at least 2 years of experience. During this time, Daniel has worked in at least 8 different roles and for 8 different companies. The average length of individual experience is 2 months. Note that Daniel may not have shared all experience and actually has more experience.
Based on recent experience, Daniel would be well-suited for roles such as: Sales Development Representative (SDR), Autonomous Agents for Knowledge and Task Management, Ecclesia AI — AI-powered team and knowledge platform.
Daniel's most recent position is Sales Development Representative (SDR) at TenderFlow GmbH.
In recent years, Daniel has worked for TenderFlow GmbH, Self-developed, Own Product (Pilot Project / SaaS), School of Tyrannus, and Bethesda House of Grace.
Daniel is most experienced in industries like Banking and Finance, Information Technology, and Government and Administration. Daniel also has some experience in Education and Telecommunication.
Daniel is most experienced in business areas like Sales, Marketing, and Information Technology. Daniel also has some experience in Operations and Product Development.
Daniel attended Gymnasium Heißen.
Daniel has 2 certificates. These include: Google AI Essentials and Introduction to Generative AI Learning Path.
Daniel is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 25 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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