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

  • Building High-Performing Teams

    Building, maintaining, and growing a team balanced for skills and aptitudes. Constraint theory, systems thinking, lean, hiring/firing and performance improvement will be discussed.

  • Architecting For Failure

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

  • Modern Java

    6 month cadence, cloud-native deployments, scale, Graal, Kotlin, and beyond. Learn how the role of Java as it is evolves for the next 20 years.

  • High Performance Computing: Lessons from FinTech & AdTech

    Killing latency and getting the most out of your hardware.

  • 21st Century Languages

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

  • 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.

  • Non-Technical Skills for Technical Folks

    Skills to be a top technician that don't involve writing code: communication, empathy, emotional grit, fortitude, teamwork, advanced critical thinking.

  • Architectures You've Always Wondered About

    Hard earned lessons from names you know on scalability, reliability, throughput, and performance.

  • Machine Learning for Developers

    Machine learning is more approachable than ever. Learn techniques and use cases with PyTorch, Keras and TensorFlow that will become foundational for moderan application developers.

  • Microservices / Serverless (Patterns & Practices)

    Evolving, observing, persisting, operating, and building modern architectures.

  • Data Engineering

    AI is the new electricity, but only 20% of the work is machine learning. The other 80% is data engineering: cleaning, enriching, moving, and transforming data. It's data engineering.

  • Developing/Optimizing Clients for Developers

    Electron, Flutter, JavaScript, GraphQL, Node/NPM. Web Workers, Wasm, WebVR, Speech/Alexia/Pipeline. More topics than room in this modern UI tech track.

  • Trust, Safety, & Security

    Privacy, confidentiality, safety, security: learns from the frontlines.

  • Modern CS in the Real World

    Thoughts pushing software forward, including consensus, CRDTs, formal methods, & probabilistic programming.

  • Human Systems: Hacking the Org

    Power of leadership, Engineering Metrics, and strategies for shaping the org for velocity.