Independent ProductKey Result: Demonstrates a production-ready, multi-role scheduling platform with real community operations needs
Board Game Hub
Game catalog + session scheduling + venue ops
Built with TypeScript + React
8+ years experience, based in Israel and working across Israel & Europe
Your technical co-founder. Without the equity.
I build MVPs, scale products, and automate operations with AI.
Architecting with Industry-Standard AI Frameworks.
Next.jsPythonSwiftFlutterOpenAILangChainCrewAIPineconeAWS
Case Studies
Independent ProductKey Result: Demonstrated a practical CRM workflow tailored for startup operations
OrbitCRM
Customer relationship management
Built with TypeScript + React
Independent ProductKey Result: Any team can go from a pile of docs to a fully queryable assistant in under 2 minutes
Recall
AI knowledge assistant — ask your docs
Built with TypeScript + Next.js (App Router)
How We Build
AI Strategy Audit
Technical discovery to identify high-ROI automation opportunities.
- 1. Current Stack Review
- 2. Bottleneck Identification
- 3. ROI Roadmap
The AI MVP Sprint
Build a production-grade AI core and ship a usable product fast.
- 1. Rapid Discovery
- 2. Core Engine Build
- 3. Production Launch
Fractional AI CTO
Ongoing technical leadership for reliability, delivery, and scale.
- 1. Model Monitoring
- 2. Continuous Integration
- 3. Scaling Architecture
Testimonials
He's constantly thinking of smart ways to improve the experience while coding quickly and efficiently.
Rotem built the iOS version of our new concept and has been fantastic to work with. He's constantly thinking of smart ways to improve the experience while coding quickly and efficiently.
Richard Demb
He is a fast and reliable developer that can work independently with almost no guidance.
Rotem developed the Duedo iOS app. Working with Rotem was a great experience. He is a fast and reliable developer that can work independently with almost no guidance. At the same time he is a self starter and knows to collaborate with other team members in order to deliver on time.
Uri Globus
Rotem's expertise and dedication were instrumental in bringing our vision to life.
I had the pleasure of working with Rotem as a freelance iOS developer on our dating app project Alpha. Rotem's expertise and dedication were instrumental in bringing our vision to life. His strong technical skills and deep understanding of iOS development allowed him to deliver high-quality code that ensured our app functioned smoothly. Rotem was responsive, receptive to feedback, and consistently met deadlines. I highly recommend Rotem for any iOS development project. His professionalism, skills, and dedication make him a reliable and valuable developer to work with.
Shay Alice, CEO, InterMatch Ltd
Technical FAQ
Is my proprietary business data used to train AI models?
No. I architect all solutions using Enterprise-grade APIs (via Azure, AWS, or OpenAI Enterprise) where your data is never used for training. For high-compliance industries, I can deploy Private VPCs or Local LLMs to ensure 100% data sovereignty.
How do you ensure the AI doesn't give incorrect information (Hallucinations)?
I implement RAG (Retrieval-Augmented Generation) with a "Chain of Verification" layer. The AI is restricted to your specific datasets and must cite its sources. This transforms the AI from a creative writer into a factual tool grounded in your actual business data.
Will this integrate with my existing CRM, Database, or Legacy software?
Yes. I specialize in building custom API Bridges and Middleware. Whether you're on a modern stack (Next.js, Supabase) or a legacy system (SQL, Salesforce), I ensure the AI engine talks seamlessly to your existing workflows without creating data silos.
What happens if the AI landscape changes or a better model is released?
I build using Model-Agnostic frameworks (like LangChain or LiteLLM). Your infrastructure is decoupled from any single provider, allowing us to swap models (e.g., from GPT-4 to Claude 3.5 or a local Llama 3) with minimal code changes as the market evolves.
How do we measure the ROI of an AI project before scaling?
We start with an AI Strategy Audit to identify the highest-impact bottlenecks. My MVP Sprint is then designed to solve a single, measurable problem (e.g., "Reduce support tickets by 50%" or "Automate 10 hours of manual data entry/week") before we commit to a full-scale rollout.
Do I need a full-time dev team to maintain this after launch?
My goal is to deliver "Self-Healing" systems with robust monitoring. However, I offer a Fractional CTO Retainer for founders who want ongoing optimization, model fine-tuning, and scaling support without the overhead of a full-time hire.