October 21, 2026

Maya Ranganathan

Maya Ranganathan
Maya earned a B.S. in Computer Science from IIT Madras and an M.S. in HCI from Georgia Tech, where her research explored voice-first accessibility for multilingual users. She began as a front-end engineer at a health-tech startup, rolling out WCAG-compliant components and building rapid prototypes for patient portals. That hands-on work with real users shaped her approach: evidence over ego, and design choices backed by research. Over eight years she grew into product strategy, leading cross-functional sprints and translating user studies into roadmap bets. As a writer, Maya focuses on UX for AI features, accessibility as a competitive advantage, and the messy realities of personalization at scale. She mentors early-career designers via nonprofit fellowships, runs community office hours on inclusive design, and speaks at meetups about measurable UX outcomes. Off the clock, she’s a weekend baker experimenting with regional breads, a classical-music devotee, and a city cyclist mapping new coffee routes with a point-and-shoot camera
    Cybersecurity

    Infrastructure as Code Security Scanning

    IaC security scanning checks Terraform, CloudFormation, and Kubernetes definitions for misconfigurations before anything is deployed. Tools like Checkov, tfsec, and Terrascan run as

    Read More
    Medical Robotics

    Hospital Logistics Robots: Cleaning, Delivery, and Disinfection

    Hospitals are quietly automating their hallways, not just their operating rooms. Autonomous delivery robots now move medications, supplies, and lab specimens between wards,

    Read More
    Autonomous Logistics

    Dark Warehouses: Fully Lights-Out Fulfilment Centres

    A dark warehouse is a fulfilment centre that runs its core storage, picking, and transport cycle without onsite human labour or full lighting.

    Read More
    Humanoid

    Whole-Body Control: Balance, Force, and Contact-Rich Tasks

    Whole-body control coordinates a humanoid’s legs, torso, and arms as one unified system rather than separate parts. Instead of solving balance and manipulation

    Read More
    Vibe Coding

    Reviewing AI-Generated Code for Security Vulnerabilities

    AI coding tools introduce security flaws at a measurably higher rate than most teams assume, with roughly one in three generated snippets carrying

    Read More
    Machine Learning

    Privacy-Preserving ML: Differential Privacy in Real Deployments

    Differential privacy in production is less about the math and more about what breaks at scale. Real deployments at Apple, Google, and the

    Read More
    Generative AI

    AI in Film Production: Previz, VFX, and Post-Production Pipelines

    AI now touches nearly every stage of film production, from previz to final color, but always inside union-negotiated guardrails. Generative previsualization, AI-assisted rotoscoping,

    Read More
    AI Ethics

    Superintelligence Governance Proposals Compared

    There is no single plan for governing superintelligence, only a handful of competing proposals from labs, academics, and lawmakers. These range from an

    Read More
    Edge Intelligence

    Offline-First AI Applications for Low-Connectivity Regions

    Offline-first AI architectures run entirely on quantized language models locally, with no dependence on cloud infrastructure, achieving response times of 1-3 seconds on

    Read More
    AI Infrastructure

    AI Data Center Buildout: Where the Capex Is Going Through 2030

    The four largest US hyperscalers alone will spend nearly $600 billion on data center capex in 2026, with combined big-tech AI spending expected

    Read More
    Scaling Inference

    Reasoning Models vs Fast Models: How to Route Queries by Difficulty

    Reasoning models spend inference budget to think; fast models answer immediately. Sending every query to either one is a mistake. How to build

    Read More
    Edge Intelligence

    Edge Intelligence in Autonomous Driving: The Future of Safety

    The evolution of the automotive industry has reached a pivotal juncture. As of March 2026, the dream of fully autonomous vehicles (AVs) is

    Read More
    Smart Sensors

    Smart Sensors: The Eyes and Ears of the Physical AI Era

    In the rapidly evolving landscape of 2026, the boundary between the digital and physical worlds has become increasingly porous. This convergence is driven

    Read More
    Agentic AI AI

    Agentic Memory: Solving the Stateless Problem in AI Workflows

    The rapid evolution of Large Language Models (LLMs) has brought us to a peculiar crossroads. On one hand, we have models capable of

    Read More
    Agentic AI

    AI Agent Liability: Who is Responsible for Autonomous Errors?

    As we navigate the mid-2020s, the line between “tool” and “agent” has blurred into a digital haze. We no longer just use software;

    Read More