Fractional AI integration for startups with search, matching, or recommendation problems. I build semantic search and matching systems on your data, hand you the working code, your team owns it.
Most recent: built the matching layer for a funded recruitment marketplace (10k+ live profiles, pgvector, nearest-neighbor search, LLM summarization). Production. Running.
Looking for: seed to Series A companies where search/matching/discovery is core to the product but the team hasn't built the AI layer yet. Engagements are 2-4 weeks, not retainers.
Remote: Yes
Willing to relocate: Yes
Technologies: Python, PostgreSQL/pgvector, OpenAI/Anthropic/Gemini APIs, embedding pipelines, semantic search, LLM orchestration, FlutterFlow, Firebase
Resume/LinkedIn: linkedin.com/in/yanis-schweizer
Email: yanis.schweizer@strade.site
Fractional AI integration for startups with search, matching, or recommendation problems. I build semantic search and matching systems on your data, hand you the working code, your team owns it.
Most recent: built the matching layer for a funded recruitment marketplace (10k+ live profiles, pgvector, nearest-neighbor search, LLM summarization). Production. Running.
Looking for: seed to Series A companies where search/matching/discovery is core to the product but the team hasn't built the AI layer yet. Engagements are 2-4 weeks, not retainers.
Languages: English, German, Spanish, Romanian