Speaker: Sai Sharan Donthi

Assistant Vice President @CreditSuisse

Sai Sharan Donthi was born and raised in Bangalore, India, with an undergraduate degree in Electronics and Communication Engineering, he decided to join Accenture as a software engineer where he saw a need for more deeper software engineering knowledge. He studied MS in Software Engineering from Carnegie Mellon School of Computer Science. After graduating he moved to New York and joined Credit Suisse as a software engineer. Over the past 8 years he has worked on loan evaluation, price testing, Risk Based PnL analytics, Credit and Market risk analytic platforms . Recently he has been working on Risk and Finance Reporting and Analytics platform with real time risk analytics, natural language processing, natural language generation, cross integration across multiple business intelligence platforms including rich HTML/Javascript reports, Tableau, Qlik, Oracle Business Intelligence, SAP Business Objects reporting solutions.  As a passionate Java engineer, he volunteers to help organize the New York Java Special Interest Group monthly meetings in New York.

Tracks

Monday, 24 June

Tuesday, 25 June

Wednesday, 26 June

  • Architecting For Failure

    More than just building software, building deployable production ready software in the face of guaranteed failure.

  • 21st Century Languages

    Lessons learned from building languages like Rust, Go-lang, Swift, Kotlin, and more.

  • Building High-Performing Teams

    What “high-performing team” means and how to build one effectively depends on context. This track will share different experiences of building high-performing teams in order to highlight how different contexts lead to different solutions but also what typically stays the same because we’re still dealing with humans trying to work together. How do different forces affect the building of high-performing teams.

  • Software Defined Infrastructure: Kubernetes, Service Meshes, & Beyond

    Deploying, scaling, managing your services is undifferentiated heavy lifting. Hear stories, learn techniques, and dive deep into software infrastructure.

  • High-Performance Computing: Lessons from FinTech & AdTech

    Killing latency and getting the most out of your hardware.