Manoj Gadhiya

I build data and ML platforms where decision speed and model velocity translate directly into revenue growth. Over the past 20+ years, I’ve led global teams and built systems across Apple, Unity, Machine Zone, and Rippling-spanning ad-tech, gaming, and enterprise platforms. My focus has consistently been the same: turning Data and ML into Platform capabilities driving real business outcomes at scale. Many teams get this wrong and they optimize for tools and architectures instead of outcomes. I approach it differently-starting with business and e2e systems thinking: - High-quality data enables better decisions - Faster iteration increases experimentation and learning - Lower decision latency unlocks revenue When these systems work together, they create a compounding advantage. I’ve had the opportunity to build and scale platforms that deliver measurable impact: - Scaled data systems processing 100B+ events/day with 99.99% uptime while reducing cost by $45M+ - Built data and ML platforms supporting $1B+ revenue businesses and driving sustained growth - Delivered 30–45% YoY growth by improving platform velocity, reliability, and decisioning capabilities - Developed core systems contributing to $100M+ revenue outcomes I lead with a people-first approach in practice—building high-trust, high-ownership teams where engineers are empowered to move fast, think in first principles, and deliver meaningful outcomes. My role is to bring clarity of direction, define strong foundations, and enable teams to do their best work. I’m particularly interested in connecting with engineers and leaders working on ML platforms, distributed systems, and decisioning infrastructure-especially those focused on turning data and models into real business impact.