Summary
Ravindra Sadaphule is a Director of Software Engineering based in Cupertino with 9 years in senior leadership roles and over two decades of hands-on engineering experience building large-scale search, recommendation, and ML systems. At Adobe he leads 0-1 development of multi-agent, multi-modal AI-driven RAG search and creative knowledge-graph platforms, and architected a production migration from Mesos to Kubernetes for GPU/CPU AI workloads. His background includes leading QBO platform modernization and search at Intuit and building personalized search, recommendation, and real-time ingestion pipelines at Microsoft for Bing and Cortana, reflecting deep expertise in Spark, PyTorch, VLMs/LLMs, and cloud data infrastructure. He pairs strategic product vision with practical ML engineering—shipping generative text and vision search features that surface in consumer and enterprise products. Trained in AI (Johns Hopkins) and business strategy (Stanford LEAD), he uniquely blends low-level systems optimization (early DSP and decoder work) with modern AI platform architecture. Colleagues would note his talent for turning complex legacy platforms into extensible, production-ready ML services that scale.
9 years of coding experience
21 years of employment as a software developer
Johns Hopkins University
Bachelor of Engineering - BE Electronics Engineering, Bachelor of Engineering - BE Electronics Engineering at Veermata Jijabai Technological Institute (VJTI)
Stanford LEAD Certificate: Strategy and Innovation Focus Organizational Leadership, Stanford LEAD Certificate: Strategy and Innovation Focus Organizational Leadership at Stanford University Graduate School of Business
MBA (Information Technology) (Grade A) Information Technology, MBA (Information Technology) (Grade A) Information Technology at American Public University
Applied Data Science Artificial Intelligence, Applied Data Science Artificial Intelligence at MIT Professional Education