Danish Ahmed Ansari

With over a decade of experience in driving large-scale mobile ecosystems, I currently serve as Senior Engineering Manager at Intuit, leading a 20-member team for the TurboTax Mobile platform across the U.S. and Canada. My focus lies in managing platform strategy for the product with over 10.5 million annual starts, building high performance teams, leveraging GenAI tools to enhance development velocity, automate quality standards, and optimize workflows.

Passionate about building scalable, efficient solutions, I specialize in integrating GenAI and AI/ML technologies to streamline processes and enhance user engagement within the mobile ecosystem. My work emphasizes collaboration, innovation, and delivering resilient, mission-critical user experiences that drive business growth and customer satisfaction.

• Multi-Modal Transit Ticketing Patent: Secured a US patent (US11488140B2) for a BLE-based mobile ticketing solution used in mass transit systems that handled over 300 million annual transactions.
• Performance Engineering: Led the TurboTax app optimization and cut iOS launch times by 80% and Android launch times by 76.5%.
• AI/ML Innovation: Introduced on-device machine learning at Intuit to provide predictive transaction insights, which achieved a 13.58% click-through rate.
• Leadership at Scale: Manage a 20+ software engineering team and oversee the multi-million dollar TurboTax Mobile product for US and CA with a focus on product, technical and operational excellence.
• Mission-Critical Stability: Maintain stability for over 10.5 million users by enforcing a 99.9% crash-free session target across all mobile platforms.

• Unified Mobile Strategy: Navigated complex technical dependencies across 10+ partner teams to align 20 repositories and deliver a large-scale platform migration with zero post-release issues.
• Native GenAI Library: Created a reusable GenAI library for native mobile clients that powers supercharged search and automated receipt categorization, reducing prototyping cycles from a week to two days.
• Smart City IoT Infrastructure: Designed a secure, hardware-integrated BLE system that allowed millions of commuters to use offline-capable mobile tickets through compute units handling over 300 million annual transactions.
• Predictive AI Engagement: Leveraged on-device machine learning to provide proactive financial advice, achieving a 13.58% click-through rate while ensuring total data privacy and low latency