Himanshu Adhwaryu’s work integrates machine learning models into high-throughput stream processing frameworks, achieving sub-50-millisecond latency and over a million events per second to drive real-time analytics across fintech, healthcare, and cybersecurity.

Key points

• High-throughput stream processing handles over a million events per second with sub-50 ms latency
• Integrated ML inference engines achieve prediction latencies under 10 ms at 98% accuracy
• Federated learning reduces data transfer overhead by 82% while preserving 18% model accuracy

Why it matters: This fusion of streaming AI, edge computing and federated learning reshapes enterprise agility and data-driven decision-making across critical industries.