Amitesh Mani Tiwari
SDE(iOS Developer)
Gurgaon, India
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🚀 As a Software Development Engineer (iOS Team) at Angel One, I specialize in developing and maintaining scalable, reliable iOS applications using Swift, Realm Database, and MVVM architecture. I collaborate closely with fellow developers to squash bugs, implement new features, and drive enhancements that make our apps shine. My work also extends to the frontend realm, where I engage with teams using React.js, TypeScript, C#, and Power BI to deliver powerful web-based solutions across Microsoft technologies like BI Solutions (SSIS, SSAS).
💡 I am deeply passionate about sharing my knowledge and experiences with the tech community. I've had the privilege of presenting at several high-profile conferences and meetups, including Delhi Flutter, GDG Dev Fest, IEEE Computer Society, AWS Dehradun, and Nigeria Technical Community. My talks, which cover a range of topics from quantum computing to iOS development and hackathon tips, have been well-received for their engaging and informative content.
🎓 Beyond speaking engagements, I’ve mentored and judged at numerous hackathons, where I’ve had the chance to guide and inspire the next generation of developers. My efforts have been recognized with multiple honors and awards, including the prestigious 21U21 Award.
📚 I'm also an active blogger, sharing in-depth insights and tutorials on iOS development and more. Check out my blog here: [appdevbyamitesh.medium.com].
Area of Expertise
Topics
Metal & Swift: Building High-Performance Graphics and ML-Accelerated Apps
The current age of AI-powered mobile applications and superior graphics demands developers to fully utilize the capabilities of Apple’s Metal framework. Metal delivers swift GPU acceleration which supports real-time rendering and computational photography together with AR/VR applications and AI model inference on devices while maintaining power efficiency in apps.
Developers working on iOS and macOS applications can learn how to use GPU-accelerated Metal computing with Swift to maximize their app performance in this session. Our exploration covers practical applications of optimized Core ML models using Metal Performance Shaders (MPS) along with real-time graphics rendering and advanced compute kernels specifically designed for contemporary Apple hardware.
Key Takeaways:
✔ Understanding Metal vs. Core Animation vs. OpenGL: Developers need to understand the differences between Metal and other graphic technologies to grasp why Metal represents the future.
✔ Using Metal for High-Performance Graphics: Real-time rendering, shaders, and gaming applications.
✔ Accelerating AI & ML Models with Metal Performance Shaders (MPS): Optimizing on-device AI for faster inference.
✔ Advanced GPU Compute for Performance Gains: Metal compute kernels deliver high-performance solutions for demanding computational tasks.
✔ Best Practices for Power Efficiency & Performance Optimization: Achieving maximum GPU performance requires strategies that reduce energy consumption.
Why This Talk?
Despite its underutilization in iOS/macOS development Metal delivers exceptional performance benefits for modern applications.
The session addresses the trending subject of AI/ML acceleration by connecting GPU computing techniques to machine learning optimization strategies.
📌 Practical, real-world applications: The workshop provides practical insights for game development and AI iPhone applications that participants can apply directly to their projects.
The session demonstrates live coding examples and real-world performance metrics while teaching optimal methods for Metal integration into iOS and macOS apps to enable developers to create cutting-edge high-performance Swift applications.
Federated Learning on iOS: Privacy-Preserving Machine Learning with Swift
User privacy is of the utmost importance in our data-driven society. There are security concerns with traditional machine learning since it uses centralized data collection. A game-changing approach is federated learning, which enables models to train directly on consumers' devices while protecting their data.
In this session, we will explore how to use Swift to enable federated learning on iOS, allowing developers to create AI apps that prioritize user privacy.
Pupils are going to:
1. Discover the function of federated learning in AI that protects user privacy.
2. Find out the ins and outs of using Core ML and Swift to include federated learning.
3. While retaining data on-device, investigate practical uses like health monitoring and tailored suggestions.
4. Explore methods that may enhance federated learning on resource-constrained mobile devices.
This session is centered around a practical demonstration of the process for developing an iOS federated learning system. Discover state-of-the-art AI and mobile development with privacy as our top priority with this exclusive chance.
Amitesh Mani Tiwari
SDE(iOS Developer)
Gurgaon, India
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