Pratik Sheth
Technical Lead, Software Applications at Google Inc via HCL Tech
San Francisco, California, United States
Actions
Pratik Sheth, leading a team that focused on designing intelligent software solutions that drive engineering productivity and innovation. Core expertise lies in AI product management at the intersection of user experience, system design, and scalable tooling with a particular focus on multi-device platforms and service ecosystems. From architecting cross-platform recommendation systems to addressing the hidden costs of deploying large-scale models on constrained devices, By bringing a pragmatic, product-first perspective to modern AI challenges. Passionate about building tools and frameworks that accelerate both efficiency and creativity and is currently driving GenAI-powered transformations across devices and services, helping re-platform large-scale businesses for the next era of intelligent applications.
Area of Expertise
Topics
Real-time Computer Vision & IoT Automation via Jupyter Interfaces
Building interactive IoT dashboards in Jupyter notebooks for live monitoring of vision-based IoT systems (security cameras, industrial inspection devices).
Techniques for deploying edge-compute models directly from Jupyter for immediate inference and decision-making.
Demo scenario: Jupyter-driven real-time defect detection in manufacturing using IoT cameras and AI-based computer vision models.
Beyond the Backlog: Generative AI for Faster Bug Fixes
Lightning Talk Session Description:
Move "Beyond the Backlog" and revolutionize your bug management. This lightning talk unveils how Generative AI intelligently analyzes bug reports, automates categorization, and streamlines the entire bug-to-fix pipeline. Discover how AI-powered systems can not only fast-track issue assignment and accelerate root cause identification, but also proactively empower your team to ship higher-quality software, faster than ever before. No prior experience is needed!
Key Takeaways:
- Generative AI isn't just hype; it's a practical tool for bug triaging. It automates the tedious, manual parts of defect management.
- Expect significant efficiency gains. AI can drastically reduce the time spent on bug categorization, prioritization, and initial assignment, freeing up your team.
- Improved accuracy and consistency in triaging. AI models learn from historical data to make more reliable and uniform decisions than human-only processes.
- Faster time-to-fix for critical bugs. By quickly identifying and routing high-priority issues, AI helps your team address the most impactful defects sooner.
- It augments, not replaces, human expertise. Generative AI empowers your engineers and QA specialists to focus on complex problem-solving rather than administrative tasks.
- Starting small is key. You don't need a massive overhaul; even automating one aspect of triaging can yield benefits.
Automating Intelligence: How AI is Reshaping Business Processes and Decision-Making
Talk + QA Session Description:
Dive into the transformative power of AI as we explore its role in automating and optimizing core business processes and enhancing decision-making across industries. This session will move beyond theoretical concepts, showcasing real-world applications where intelligent automation, powered by advanced AI models, is driving efficiency, reducing costs, and unlocking new opportunities. We'll cover everything from intelligent document processing and robotic process automation (RPA) infused with machine learning, to AI-driven insights that empower strategic choices. Discover how your organization can leverage these innovations to streamline operations, gain a competitive edge, and navigate the complexities of the modern business landscape.
Key Takeaways:
- Understand the diverse applications of AI in automating various business processes.
- Learn how AI enhances decision-making through advanced analytics and predictive modeling.
- Identify opportunities to implement intelligent automation within your organization.
- Discover best practices for integrating AI into existing workflows for maximum impact.
- Gain insights into the future of work and the evolving roles in an AI-driven environment.
Architecting Autonomy: Cloud, Edge AI/ML, and Data Governance for the Future
This talk highlights the critical roles of cloud infrastructure, edge computing, and artificial intelligence/machine learning (AI/ML) in building and managing future autonomous systems. Beyond just technology, it emphasizes the vital importance of data governance to ensure these systems are developed and deployed responsibly, ethically, and securely.
Key takeaways from this talk:
- Future of autonomous and data driven systems
- Edge Computing is Non-Negotiable
- Data Governance is Foundational for Trust
- Navigating Complex Challenges at the Edge
- Strategic Solutions and Collaboration are Key
JupyterCon 2025 Sessionize Event
Cloud Lunch and Learn Weekly Sessions 25 User group Sessionize Event
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top