Founding AI Agent Engineer | Researcher | Building Turing Standard
I build AI systems that are trusted to work in production, not just demo well. Over 7 years across government infrastructure, industrial AI labs, and startups in India, Germany, and Italy, I've gone from applied machine learning and forecasting to designing multi-agent systems with long-term memory, tool use, and retrieval architectures deployed at real latency and cost budgets.
I'm currently building Adaptive Knowledge Engine (AKE) at Turing Standard: a system that reads authoritative documents into a cited, auditable knowledge graph and refuses to guess when it can't ground an answer. It's my answer to the question I kept running into across every agent I shipped: how do you make an AI system trustworthy with facts that actually matter?
- Agent Systems — multi-agent architecture, orchestration, tool/function calling, long-term memory, RAG, knowledge graphs
- ML & AI — forecasting, generative AI, computer vision, NLP
- Infrastructure — Python, Docker, cloud (AWS/GCP), vector databases, CI/CD, data pipelines
- Foundations — linear algebra, optimization, probability, graph theory
- Founding AI Agent Engineer — nexwise (Germany)
- Lead AI Software Engineer — Estyl (Italy) — built the multi-agent architecture behind Estyl's outfit composer, live on the App Store and Play Store
- Data Scientist & Researcher — Livello Technologies (Germany)
- Assistant Professor, AI/ML — Sagar Institute of Science, Technology and Research (India)
- AI Intern — Syskron GmbH / Krones (Germany)
- Data Scientist — Government of Madhya Pradesh (India)
🌐 Portfolio: hrithikrai.github.io 💼 LinkedIn: linkedin.com/in/hrithikraisaxena 🚀 Turing Standard: turingstandard.com 📧 Email: hrsaxena97@gmail.com