Machine Learning Engineer for Cutting-edge AI services

Rahul is a startup-focused engineer who thrived on building high-impact AI products from the ground up. Most recently, he led the Machine Learning division at Ferret AI, where he built the company's Trust & Identity Intelligence Engine — a large-scale platform for background checks, legal intelligence, and compliance automation. His team developed multi-agent architectures, Neo4j-based knowledge graphs, and LLM-driven reasoning pipelines to perform deep identity resolution and risk analysis across millions of profiles. Under his leadership, Ferret AI evolved into one of the most advanced intelligence platforms in its category, known for its accuracy, scalability, and enterprise readiness. Before that, he led the Machine Learning team at O.xyz, where he developed the ORI Routing Model — a routing intelligence system that surpassed industry benchmarks and outperformed models such as Meta LLaMA-70B, DeepSeek-67B, and Qwen-72B. He also spearheaded the development of Ocean, an intelligent search platform similar to Perplexity but 20× faster, built in collaboration with teams from OpenAI, Neuralink, and Binance. Earlier, as AI Lead at Cognavi (a subsidiary of Forum Engineering, listed on the Tokyo Exchange), Rahul and his team rebuilt the company's AI infrastructure using Neo4j and large foundational models. Their flagship products, StudentGPT and JobGPT, powered natural-language matching for over 700 million candidate profiles and 8.8 million daily job listings. As a founding engineer at Laytrip (now progressing toward Series A), he co-developed a patented airline-ticket arbitrage model, building a billion-row data pipeline that secured $300 K in Airbus funding. He also served as a founding engineer at DataIsGood, which was later acquired by SkillArbitrage for $3 million. Throughout his career, Rahul consistently delivered measurable results with compact, high-performance teams — typically two to three engineers — demonstrating that small, focused groups could outperform scale. He has published three research papers, been featured in Forbes, and was invited to speak at Ray Summit and HK Summit for his pioneering work in large-scale AI infrastructure and real-time reasoning systems.