PAGE_005 / JUDGING

JUDGING

fair, thorough, focused on impact

Submissions move through a three-stage process: automated screening checks the requirements, an initial review chooses the finalists, and professional judges choose the winners in the final round.

REVIEW & JUDGING PROCESS

1

AUTOMATED SCREENING

REQUIREMENTS CHECK

An automated check confirms that every required part of your submission is present. Complete submissions advance to the initial review.

2

INITIAL REVIEW

FINALIST SELECTION

Reviewers assess each complete submission using the published rubric and choose the finalists.

3

FINAL ROUND

PROFESSIONAL JUDGES

Professional judges review the finalists and choose the overall and category winners.

REVIEW & JUDGING RUBRIC

used during initial review and the final round

COMMUNITY RELEVANCE

25%

Is this a real, specific problem the team has direct knowledge of?

IMPACT POTENTIAL

20%

If this worked at scale, would it meaningfully help people?

TECHNICAL EXECUTION

20%

Does it work? Is it reasonably well-built for the time given?

CREATIVITY

15%

Is the approach novel, or a copy of something obvious?

PRESENTATION & CLARITY

10%

Can the team clearly explain the problem and solution?

ACCESSIBILITY

10%

Could the people affected actually use this?

JUDGE PANELISTS

Meet the professional judges who will be evaluating your submissions. They bring a wealth of experience and expertise to the table, ensuring that every project is assessed fairly and thoroughly.

Naveen Goel, Amazon
Naveen Goel
Senior Technical Program Manager
Amazon
Akhil Kumar Mengani, Meta
Akhil Kumar Mengani
Senior Software Engineer
Meta
Gayathri Chilukala, Microsoft — Azure OpenAI Team
Gayathri Chilukala
Software Engineer
Microsoft — Azure OpenAI Team
Nikhil Singh, US Bank
Nikhil Singh
Lead Software Engineer
US Bank
Sai Prasad Saladi, US Bank
Sai Prasad Saladi
Senior Software Engineer
US Bank
Sravanthi Kondoju, Target
Sravanthi Kondoju
Data Platform Lead
Target
Ramesh Venkatachalapathy, AT&T
Ramesh Venkatachalapathy
Principal Engineer
AT&T
Nikhil Reddy Donapati, NeuroNet Solutions Inc.
Nikhil Reddy Donapati
Software Engineer
NeuroNet Solutions Inc.
Monish Chandrashekar, PwC
Monish Chandrashekar
Manager – Cyber Risk, Data Engineering & AI
PwC
Renata Blazhko, MIPT
Renata Blazhko
Product & Data Analysis Lead
MIPT
Eunbean Lee, Carnegie Mellon University — School of Computer Science and Humanities
Eunbean Lee
Carnegie Mellon University — School of Computer Science and Humanities