Priyanka mudgal

Principal Machine Learning Engineer at Workday Inc.

Nominated in the categories:
AI & Machine Learning Leader of the Year

Celebrate 100 000 Women in Tech
Fostering Innovation with Purpose and Impact.
>> December 04 - Virtual <<

Vote by Sharing

Help raise awareness. Nominees with the most votes are eligible for the WomenTech Community Award.

Here are the instructions on promoting your nomination for the Women in Tech Global Awards:

Utilize Social Media: Leverage platforms such as LinkedIn, Twitter, Instagram, and Facebook to announce your nomination and share your story. Explain what this recognition means to you and highlight your contributions to the tech community. Use the sharing buttons above / this page url relevant hashtags like #WTGA2023 #WomenTech, #WomenInTech, and #TechAwards. Encourage your followers to vote and share your posts.
Reach Out via Email: Send an email to your contacts informing them about your nomination. Explain the importance of the Women in Tech Global Awards, and provide them with information on how they can support you by voting. Don't forget to ask them to pass the information to their own networks, this will extend your reach.
Engage with Online Communities: Share your nomination news in relevant online forums and groups. This could include tech forums, ERG groups, professional networking sites, and communities focused on women's empowerment. Be sure to provide information about how to vote.
Virtual Meet-ups/Webinars: If you have the means to host a virtual event or webinar, consider sharing your experience in the tech field and discussing your nomination. This could also be a great opportunity to highlight the significance of women's role in technology.
Workplace Announcements: If your workplace has an intranet or internal communication channels, share your nomination news there. Your colleagues would likely be interested and proud to support you.

Always bear in mind that while getting votes is a part of this process, the key objective is raising awareness about the critical impact of women in technology. Remember to keep your messages respectful, inclusive, and inspiring. Good luck!

Here are the instructions on how to vote for a nominee in the Women in Tech Global Awards:

Visit the profile page of the nominee you want to support on the official Women in Tech Global Awards website. (this page)
On the profile page, you'll find social media sharing buttons. Click on these buttons to share the nominee's profile on your chosen social media platform(s). This could be LinkedIn, Twitter, Facebook, Instagram, or any other platform provided.
By sharing the nominee's profile using these buttons, your action counts as a vote for the nominee.

Please note the following important information:

Repeated clicks from the same user are tracked internally, so multiple clicks without real shares by the same user will not result in multiple votes, even if it shows multiple clicks on the front end. The system is designed internally to count unique shares only, to ensure a fair voting process.
It's completely acceptable to share multiple times, across different days and platforms, as long as you genuinely share the information and engage with your network.
Please remember that any misuse or manipulation of the voting system, such as using bots, fake accounts, or any other deceptive practices to increase vote counts, may result in disqualification. It's important to uphold the integrity and respect the process to ensure the Women in Tech Global Awards remain fair and meaningful. Always follow the rules and guidelines laid out by the awards committee. Thank you for supporting and maintaining the integrity of these awards.
There might be a delay before your vote is reflected, due to the time it takes to process the information.
Voting requires you to share information publicly, so make sure you are comfortable with this before proceeding.

Thank you for participating in the Women in Tech Global Awards and supporting women in tech. Your vote helps to recognize and celebrate their significant contributions to the field.

Priyanka mudgal Bio (LinkedIn)

Priyanka Mudgal is a Principal Machine Learning Engineer at Workday, leading the research, development, and scaling of Agentic AI systems for enterprise applications.
* Expert in driving AI innovation across research and production environments, with expertise in machine learning, deep learning, large language, vision, and multimodal models
* Led cross-functional research initiatives at Intel Corporation, collaborating with Intel Labs research groups, and business units to deliver AI solutions from concept to deployment
* Expert in translating the research innovations into customer-facing solutions, driving projects from experimental validation to production in enterprise environments
* Published 12+ research papers and 12+ patents, establishing foundational methodologies for LLM and LMM applications in enterprise use cases including system failure prediction, defect detection, system analysis, and unsupervised learning frameworks
* Recognized as Intel and Solidigm's High 5 Award for filing multiple patents in a single year, with portfolio of collaborative learning, privacy-preserving AI, and intelligent systems
* Active mentor and advocate for advancing technical talent, with commitment to fostering innovation and supporting diverse perspectives in AI research and development

Priyanka mudgal

Principal Machine Learning Engineer at Workday Inc.

Nominated in the categories:
AI & Machine Learning Leader of the Year

Vote by Sharing

Priyanka mudgal Bio (LinkedIn)

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Priyanka mudgal

Principal Machine Learning Engineer at Workday Inc.

Nominated in the categories:AI & Machine Learning Leader of the Year

Vote by Sharing

Promote your Nomination

How to Vote

Priyanka mudgal Bio (LinkedIn)

Don't miss out on the latest Women in Tech events, updates and news!

Powered By​​​​​​​

Women in Tech Network

Women in Tech Conference

Tech Women Impact Globally

Follow us

Nominated in the categories:
AI & Machine Learning Leader of the Year

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