Ashwin Kumar Uppala
Associate Program Manager, GitHub
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Ashwin is currently a Program Manager at GitHub, previously an MLH Coach, a MLH TOP 50 candidate, a GitHub Campus Expert and an Microsoft Learn Student Ambassador. Ashwin is currently building and managing the global student programs at GitHub Education known as GitHub Octernships and GitHub Campus Experts. He has won over 12 global hackathons and participated, mentored and judged over 55+ hackathons in the past 2 years. Ashwin has also previously spoken at Open Source Summit North America 2022 and KubeCon North America 2022
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From "Commit" to "Career": Framework to bridge New Talent with Open Source Careers
2023 saw the largest number of first-time open source contributors on GitHub. We are observing push for learning open source practices and technologies as a step to open gateways to opportunities for students and independent learners. Our session aims to allow organizations chart the framework to spot great talent in the pool of open source contributors while encouraging healthy feedback cycle for others to learn, doing all this with minimal cost.
In this talk, the speakers will share their:
- Learnings from running and building a global open source internship pipeline and it’s impact on open source projects and contributors involved.
- Maintaining a collaborative environment while encouraging recognition for excellent contributors
- All at minimal resources and cost!
The audience will leave the session with
- Framework to implement in organization to support hiring and recognizing talent from the large sea of open source communities
- Learnings from success stories of students who landed internships with Open Source organizations
- Understanding the margin between competency and collaboration when a selection process is put in place in open source projects.
Embracing AI in Education: A Path to Inclusive and Effective Learning?
As artificial intelligence (AI) continues to transform industries and societies, the education sector is no exception. However, the integration of AI in the classroom has raised concerns among teachers and stakeholders, leading to a growing digital divide. In this talk, we will explore the potential benefits and risks of AI in education and provide best practices that students, teachers, and institutions can implement to ensure inclusive and effective learning. We will also discuss the types of AI used in schools, such as generative AI and predictive tutoring, and how they can aid in content benefit, assessment design, and personalized tutoring sessions. Additionally, we will address the immediate challenges and potential risks of AI in education, including plagiarism, overreliance on the tool, data privacy, and perpetuating social biases. Finally, we will offer guidance and policy-making suggestions to ensure the responsible integration of AI in education and help close the digital divide. Embrace the future of education with AI!
Embracing AI in Education: A Path to Inclusive and Effective Learning?
As artificial intelligence (AI) continues to transform industries and societies, the education sector is no exception. However, the integration of AI in the classroom has raised concerns among teachers and stakeholders, leading to a growing digital divide. In this talk, we will explore the potential benefits and risks of AI in education and provide best practices that students, teachers, and institutions can implement to ensure inclusive and effective learning. We will also discuss the types of AI used in schools, such as generative AI and predictive tutoring, and how they can aid in content benefit, assessment design, and personalized tutoring sessions. Additionally, we will address the immediate challenges and potential risks of AI in education, including plagiarism, overreliance on the tool, data privacy, and perpetuating social biases. Finally, we will offer guidance and policy-making suggestions to ensure the responsible integration of AI in education and help close the digital divide. Embrace the future of education with AI!
Navigating strategies for debugging WASM
In the world of WebAssembly (WASM), debugging can often feel like navigating a complex maze. With current debugging tools falling short and the unique challenges posed by WASM, developers are in need of effective strategies and solutions.
We will begin by discussing the current state of WASM debugging, drawing parallels with technologies like LLVM. We cover the approaches to enable debugging for WASM using open-source tools like Modsurfer while also proposing a compile-time debugging approach: A key part of the presentation will be the role of LLVM Intermediate Representation (IR) in the debugging process. We will explore how understanding the conversion of source code into LLVM IR and its subsequent stages can provide valuable insights for debugging WASM applications.
Our goal is to equip developers with the knowledge and strategies they need to effectively debug their WASM applications.
Ashwin Kumar Uppala
Associate Program Manager, GitHub
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