February 1, 2026

Priya Menon

Priya Menon
Priya earned a B.Tech. in Computer Science from NIT Calicut and an M.S. in AI from the University of Illinois Urbana-Champaign. She built ML platforms—feature stores, experiment tracking, reproducible pipelines—and learned how teams actually adopt them when deadlines loom. That empathy shows up in her writing on collaboration between data scientists, engineers, and PMs. She focuses on dataset stewardship, fairness reviews that fit sprint cadence, and the small cultural shifts that make ML less brittle. Priya mentors women moving from QA to MLOps, publishes templates for experiment hygiene, and guest lectures on the social impact of data work. Weekends are for Bharatanatyam practice, monsoon hikes, and perfecting dosa batter ratios that her friends keep trying to steal.
    AI Machine Learning

    Federated Learning for Healthcare and Finance: Unlocking Data Silos Securely

    In the modern era of artificial intelligence, data is often referred to as the “new oil.” However, in industries like healthcare and finance,

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    AI AI Ethics

    Governing AI Decisions: Protecting Human Rights in Automated Systems

    Disclaimer: This article provides a general overview of governance frameworks and ethical standards for artificial intelligence. It does not constitute legal or compliance

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    AI

    AI for Accessibility: Helping People with Disabilities

    For millions of people worldwide, Artificial Intelligence (AI) is not just a buzzword about efficiency or automation; it is a fundamental driver of

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    AI

    Sustainable AI Infrastructure: Innovations in Low-Power Chips and Energy Solutions

    Artificial intelligence has rapidly evolved from a niche research field into a global utility, driving advancements in healthcare, finance, and creative industries. However,

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    Startups Funding News

    Due Diligence: 12 Essentials Startups Must Show Investors

    Due diligence is the structured review investors use to test the reality behind your story: the ownership, numbers, risks, and repeatability of your

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    Web3 Blockchain

    12 Blockchain Explorers to Track Transactions and Blocks

    If you want a clear window into on-chain activity, Blockchain explorers are your everyday toolkit. A blockchain explorer is a searchable interface for

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    Software Cloud Computing

    10 Steps to Implement a CDN for Your Website Using Cloud Platforms

    If you want faster pages, lower bandwidth bills, and better resilience, a content delivery network (CDN) is the most reliable lever you can

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    Startups Founder Stories

    Tech Legacy: 9 Founders Who Built Generational Companies

    A tech legacy isn’t an accident—it’s a system. At its core, a generational company is one whose advantage, culture, and customer value compound

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    Web3 Blockchain

    Blockchain Scalability: 12 Sharding, Sidechains, and Off-Chain Solutions Explained

    Blockchain scalability is the system’s ability to handle more transactions, bigger state, and heavier applications without breaking the core guarantees of security and

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    Software Cloud Computing

    Using Cloud Databases: 10 Steps to Choose RDS vs DynamoDB vs Cloud SQL (Tutorial)

    If you’re evaluating using cloud databases, the most practical question is not “Which service is best?” but “Which service fits this workload right

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    Startups Funding News

    11 Ways Demo Days and Beyond Prove the Role of Startup Events in Fundraising

    Startup events in fundraising create concentrated moments of attention where you can spark new investor relationships, compress diligence timelines, and convert interest into

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    Web3 Decentralization

    Centralization vs decentralization: 12 pros and cons that actually matter

    Centralization vs decentralization is the classic operating-model decision: concentrate authority, standards, and shared platforms in one place, or distribute them closer to the

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