From Learning AI to Landing Jobs: How Students Can Stand Out

About this session

AI is quickly becoming a baseline expectation across roles, not just a specialized technical skill. For students entering the workforce, the real challenge is not only learning AI tools, but demonstrating how AI can be applied to solve practical problems and create measurable value. This session explores how students can present AI experience in a way that aligns with industry expectations by focusing on real use cases, outcomes, and role relevance. It will show how developers, business analysts, UX designers, and platform engineers can position AI differently based on their career path. The session also emphasizes an important industry mindset: building an AI feature is only the beginning. Real-world AI systems must also be scalable, observable, reliable, and effective in production.

About the speaker

Harish Vundavalli
Harish Vundavalli is a Senior Technical Architect at Strategic Education, Inc., where he leads the development of enterprise-scale, cloud-native platforms integrating AI, data, and modern architectures to support core business operations. With over 15 years of global experience across India, Australia, and the United States, he specializes in building scalable, resilient, and production-ready systems.

He actively drives AI initiatives within engineering, focusing on practical adoption of emerging technologies while addressing critical challenges in AI security, risk, and governance. His work emphasizes implementing guardrails for trustworthy AI, including model monitoring, data integrity validation, access control, bias detection, and protection against emerging threats such as prompt injection and data leakage, aligning with industry trends toward secure and responsible AI systems.

Prior to this, he worked with enterprises including Petco and Commonwealth Bank of Australia, leading large-scale transformation and integration programs.

Harish also contributes to the research community as a journal reviewer and is currently working on multiple AI-focused research papers under review, reflecting his commitment to bridging academic research with real-world industry applications.

In addition to his industry leadership and research, Harish actively contributes to academia and the broader innovation ecosystem as a mentor, hackathon judge, and guest speaker, supporting students, early-career professionals, and practitioner communities through technical guidance, evaluation, and knowledge-sharing engagements.

Disclaimer: Future World Alliance welcomes guest speakers to provide education and diverse perspectives. Any views, opinions, or statements made by the guest speaker are solely their own and may not represent the views of Future World Alliance.