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Priyal Manglani is an accomplished Software Engineer with significant experience in cloud technologies, distributed systems, and full-stack development. She has a strong background working with major tech companies like Microsoft, where she has contributed to large-scale projects, focusing on areas such as Azure services, AI/ML platform development, and backend engineering. Priyal is passionate about technology, an advocate for women in STEM, and actively contributes to the tech community through speaking engagements and mentorship. She is known for her problem-solving skills, her ability to drive innovation, and her collaborative spirit within engineering teams.
Priyal Manglani's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Presented technical sessions and shared insights at GHCI, one of the largest gatherings for women technologists in India, contributing to knowledge sharing and community engagement.
Recognized for exceptional performance and significant contributions to key projects and initiatives during her tenure at Microsoft, demonstrating technical excellence and leadership.
Actively involved in mentoring aspiring engineers and advocating for diversity and inclusion in the technology sector through various community initiatives and programs.
Played a key role in the development and enhancement of critical components within the Azure AI platform, impacting a wide range of customers and services.
HR College - Year 2007
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Affinity Global Inc. is an ad-tech company specializing in contextual advertising solutions. They enable brands to connect with relevant audiences without relying on user profiling, through innovative platforms like mCanvas for mobile branding and SitePlug for performance marketing. Their focus is on delivering engaging ad experiences that respect user privacy.
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