Jayneel Pawar

I’m a Principal Data Scientist & AI/ML Architect with 10+ years designing, leading, and scaling high-impact AI systems across Entertainment/Live-Streaming, E-commerce, Energy, Insurance/Banking, Health & Fitness, and Petrochemical industries.

I take end-to-end ownership of AI initiatives—from problem definition and architecture design to rapid prototyping, experimentation (A/B), production deployment, and continuous optimisation at scale. I’m known for aligning long-term ML/AI roadmaps to organisational goals and leading cross-functional teams while mentoring data science talent.

In Generative AI and Multi-Agent work, I’ve built production-grade agents for real-time streamer and user interaction using LLMs and RAG, including LLM-powered workflows and real-time inference pipelines (e.g., improved interaction rate by 7%). I’ve also engineered multi-stage recommendation systems and patented sub-algorithms, converting static pages into dynamic personalised sections and delivering measurable gains like revenue up 2%, view duration up 6%, and streamer retention up 5%.

I further design intelligence for discovery and engagement—Intelligent Push-Notification systems with 40% fewer notifications while improving open rates, plus search algorithm enhancements that increased search success click rate from 50% to 67%. Alongside modelling, I build the data foundations (dashboards, ETLs into BigQuery, ML monitoring, and KPI experimentation frameworks) to keep AI measurable, reliable, and continuously improving.