Sharat Madanapalli is an AI founder and engineering leader with a decade of experience taking research innovations into production-grade AI and data platforms. He helps executives turn ambitious AI goals into roadmaps and ships end-to-end solutions—from data pipelines and transformers to autonomous agents—that deliver measurable business value. Past work includes patented transformer-based traffic classifiers processing millions of encrypted flows, multi-agent audit and security tools that saved clients six-figure amounts, and scalable pipelines handling billions of events per day. He pairs deep academic foundations (PhD in networking and QoE) with hands-on systems work in Python and Go, having built high-throughput packet processors and production ML stacks on GCP and Kafka. Beyond delivery, he mentors research students and runs practical AI upskilling for teams, often bridging academic rigor with product-focused engineering. Based in Sydney, he’s as comfortable designing GenAI interfaces and RAG stacks as he is instrumenting observability and MLOps for mission-critical systems.
10 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Contributions:23 commits, 19 pushes, 1 branch in 10 days
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