Neil Pandya

  • In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this algorithm is not based on temporal difference (TD) learning (which has scalability challenges), and scales well to long-horizon tasks. We can do Reinforcement Learning (RL) based on divide […]
  • What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitative and predictive theory describing its learning process. […]
  • .modal { display: none; position: fixed; z-index: 9999; padding-top: 50px; left: 0; top: 0; width: 100%; height: 100%; overflow: auto; background-color: rgba(0,0,0,0.9); } .modal-content { margin: auto; display: block; max-width: 90%; max-height: 90%; } .close { position: absolute; top: 15px; right: 35px; color: #f1f1f1; font-size: 40px; font-weight: bold; transition: 0.3s; […]
  • by Artificial Intelligence Blog
    In 2026, AI advantage will not come from tools but from focus. This piece outlines three concrete, disruptive moves businesses can make to turn AI into durable leverage, plus the contrarian and pessimistic views leaders should confront head-on.
  • by Artificial Intelligence Blog
    Is artificial intelligence better than bacon? One crunches data, the other crunches joy. This playful, slightly unscientific showdown pits algorithms against cured pork and bacon still wins.
  • by Artificial Intelligence Blog
    The future AI device will blend into daily life and feel more like a helpful companion than a gadget, offering instant, contextual support whenever needed.

Strategic Consultation

  • Demystifying the Jargon
    • Let’s replace the buzzwords with a clear understanding of what’s possible—and what isn’t. I’ll help you set realistic expectations for your project and your team in order to deliver the best value for your customers and clients.
  • ROI-Focused Roadmaps
    • I’ll work with you to create a clear, actionable strategy that prioritizes tangible value. We’ll build a plan to deploy DNN solutions that directly improve your bottom line, not just your company’s “AI story.”
  • Building a Foundation
    • I’ll help you lay the groundwork for a secure, self-hosted system that your team can own and operate, reducing your reliance on external vendors and third-party data services.

Staff Augmentation

  • Your In-House Expert
    • I’ll join your team as a dedicated resource to build secure, self-hosted DNN models from the ground up. My hands-on experience ensures your project stays practical and focused on results.
  • Data Security is Priority One
    • Your data is your most valuable asset. My expertise focuses on building solutions with minimal data exposure, keeping your sensitive information safe and under your control.
  • From Concept to Code
    • Don’t just get a strategy—get a tangible product. I provide the specialized development and implementation to turn a practical idea into a working solution that delivers real, measurable results.

I’m Neil Pandya, a software development consultant with over 10 years of experience specializing in Deep Neural Networks (DNNs) and Parametric Modeling.

My mission is to help you cut through the noise and build intelligent, self-hosted DNN (“AI”) solutions that give you control, security, and a clear return on investment. I work with businesses to deploy modeling solutions that are secure, effective, and free from the endless cycle of over-hyped promises. I’m committed to bringing effectiveness, elegance, and efficiency to every project I take on.

I’m Neil Pandya, a software development consultant with over 10 years of experience specializing in Deep Neural Networks (DNNs) and Parametric Modeling.

Let’s talk about a practical approach to intelligent modeling that’s built for your business.