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Edinburgh, UK
snehal.1409@gmail.com
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I bridge the gap between cutting-edge AI research and sustainable business impact. With a track record of publications at KDD 2024 and KDD 2025, my work defines the frontier of Cost-Aware Prompt Optimization (APO) and Active Learning — solving the “trillion-token problem” for modern enterprises.

I specialize in architecting AI systems that don’t just work, but scale. From building high-throughput recommender systems to optimizing LLM orchestration, I lead the transition from experimental R&D to production-grade AI. My mission is to help organizations deploy intelligent systems that maximize performance while aggressively minimizing computational overhead and operational risk.

Core Expertise: AI Strategy & Roadmap | LLM Efficiency | Scalable Machine Learning (PySpark) | Research Leadership (KDD, Towards Data Science)