Arda A.

AI Systems Architect & Full-Stack Engineer | B2B SaaS | AI Integration

I take your custom projects from a blank page to a live product, without unnecessary complexity. Coding agents make me fast. Engineering fundamentals make it last. No agency, no handoffs: I've shipped 60+ custom apps - SaaS MVPs, AI agents, LLM systems, RAG pipelines, and AI integrations into products that already exist - for non-technical founders, CEOs and technical teams. Shipping that many taught me the hard part was never the code. It's knowing what to build, what to leave out, and what will break in month six. As a full stack software engineer & AI engineer, what I usually get hired for: - Custom SaaS MVPs or internal tools - AI consulting: an audit of what you have, and where AI is worth the money - AI automation for a workflow you're doing by hand - A vibe-coded app that now has to survive real users - Custom AI agents for one person or a whole team - Multi-agent systems that run on their own or work alongside humans - AI integration into an existing business - A niche problem you're starting to think nobody can solve. Test me. Blank page to live product: 1. Scope: straight into your business goal. I push back on assumptions to find what's needed and what isn't, so nothing gets over-scoped. 2. Architect: simplest structure that scales, plus a diagram of the whole flow. Once the problem is clear, I move fast. 3. Build: agents do the typing. Dependencies minimal, the AI boxed off so a bad model answer can't break the rest. 4. Deploy: live, monitored, documented, handed over. 5. Support: I stick around. Little maintenance by design. Every milestone, I check the strategy still serves the goal. Same person at every stage. Nothing ships I can't explain. I've built for: Talent Tech, DTC (3M+ audience), Industrial & Robotics, Healthcare Data, Climate Tech, Global Fintech, Telecom, Web3 Community, Growth & AI Agencies, and EdTech - and expanding. More than an engineer: I architected a complete B2B AI SaaS in a competitive space and got the first paying clients in 3 months by talking to ICPs myself. That's where the outcome-based instinct comes from: knowing which technical decisions actually move your business and which ones are just interesting. I enjoy turning chaos into deterministic systems. How I build: Complex ideas don't always need complex solutions. I go for the simplest (not basic) option - one that follows best practice and scales as your business does. I only decide what that looks like after I properly understand what you need, and those calls come from having made them before. I follow these principles in my work: 🦾 Scalable: I make things that can grow as your business grows. 🗺️ Understandable: Even though the solution is technical, I will prepare a high-level diagram that shows you the big picture and the whole flow. 📦 Reusable: I value modularity to save time in your various projects with similar functionalities. 💼 Industry Standards: I rely on proven engineering practices at the project's core. 🌱 Sustainability: I design solutions that need as little maintenance as possible from day one, and I support them long-term. My top talents: ✅ AI Solution Design & Development (this field moves fast - I keep up.) ✅ Full Stack Development (End-to-end SaaS, Web Apps, Internal Tools) ✅ Backend Development (API Integrations & Automations) TLDR: If you have a product idea, a system that's become a mess, or a problem you're not sure is solvable, send me a message to see if we're a good fit. If we're a match, great. If not, I'll make sure you leave with clarity on your next steps. 💻 Tech Stack & Tools I Use: 👉 Backend: Python, FastAPI, Django, Django-REST 👉 Frontend: React, TypeScript, TanStack, Tailwind CSS, Vite, HTML 👉 Database: PostgreSQL, MongoDB, MySQL, Supabase 👉 Background Tasks: Celery, Redis, Google Cloud Run, Flower 👉 Git, GitHub & Docker 👉 Model Context Protocol (MCP) servers & clients 👉 AI Coding Tools: Claude Code, Cursor, Google Antigravity, Codex 👉 OpenAI API (GPT, Whisper, TTS, Embeddings, DALL-E), Groq, AWS SageMaker, AWS Bedrock, microsoft/autogen, VAPI (Voice AI), DeepSeek, Open Source Models, Gemini API (LLM Models & Nano Banana Pro), Claude API (Sonnet, Opus), fal.ai API 👉 Pinecone, pgvector for Postgres (Vector Database to store embeddings) 👉 Automation: n8n, Make, Zapier, Crawl4AI, Playwright, BeautifulSoup, pandas 👉 Render, Google Cloud, DigitalOcean, Heroku, AWS 👉 APIs: Slack, Discord, Telegram, HubSpot, LemList, LinkedIn, ClickUp, Webhooks, Fireflies (Call Transcription), AssemblyAI (Voice to Text), Automated PDF generation, Typeform, Ashby, Loxo, Polar.sh, Stripe - I pick up new tools fast, so this list isn't a limit! A bit more about me: I like explaining how things work, which is how I ended up running a YouTube channel where I explained complicated technical things in a way anyone could follow. I also wrote a 10-hour course on backend architecture for Miuul, one of the bigger tech education platforms here.