Dhyey Mavani was featured in Business Insider sharing how he leveraged content creation and personal branding on LinkedIn to land a software engineering role at the company.
HackerNoon feature by Dhyey Mavani introducing Checkerboard Copula Regression (CCR) and (S)CCRAM—new, model-free tools for exploring categorical and ordinal data. The article explains how these methods overcome the limitations of standard correlation metrics by visualizing structure and quantifying uncertainty before model selection begins.
Large language models struggle with reliability and hallucinations. This article explores how Lean4, an interactive theorem prover, acts as a truth kernel to mathematically verify AI outputs, creating a new standard for deterministic and safe AI.
LinkedIn's Hiring Assistant team shares how they used speculative decoding to achieve 4× higher throughput and 66% latency reduction for their AI agent. This deep dive explores n-gram speculation, implementation strategies with vLLM, and practical lessons for serving LLMs at scale in production.
HackerNoon feature by Dhyey Mavani exploring how the real speculative excess in artificial intelligence lies not in the models, but in the physical infrastructure powering them. The article examines the mounting risks behind the rapid expansion of GPU data centers and energy-hungry AI compute projects that face power, supply chain, and efficiency constraints.
As generative AI becomes deeply embedded in enterprise workflows, organizations are realizing that AI systems require structured onboarding — just like human employees. This article explores the emerging discipline of AI enablement and PromptOps, emphasizing governance, contextual training, feedback loops, and continuous evaluation to ensure responsible and effective AI deployment.
A weekend hackathon in San Francisco focusing on building agentic workflows that work with us and not (only) for us, featuring $5,000+ in prizes sponsored by [Anthropic](https://www.anthropic.com/), [Google](https://www.google.com), [Hudson River Trading](https://www.hudsonrivertrading.com/), [Entrepreneurs First](https://www.joinef.com/), [Mastra](https://mastra.ai/), etc. and expert judges from leading tech companies.
Dhyey Mavani was featured on the Sandesh Newspaper for his groundbreaking work and global contributions in AI and computational mathematics, particularly highlighting his theses and innovative software solutions.
Selected and sponsored to attend Y Combinator’s inaugural AI Startup School, joining 2,500 global builders and leaders in San Francisco.
Recognized during the 2025 Amherst College Commencement for commitment to community and peer mentorship.
