Vinod Polinati

@vinodpolinati

Applied AI Engineer || LLMs, Computer Vision, Backend Systems || Ex-ISRO • Ex-AegionDynamic • Stealth AI

HyderabadJoined February 2024

About

AI Engineer who takes things from "cool experiment" to "actually running in production." I build with LLMs (RAG pipelines, chatbots), computer vision (YOLOv8, object tracking), and backend systems (FastAPI, databases). Sometimes I ship entire mobile apps in Flutter. What matters to me: does it work when real users touch it?

Available for

Freelance Work.

Vinod Polinati's blogs

Vinod Polinativinodpolinati.hashnode.dev11 posts

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Recently published

VPVinod Polinativinodpolinati.hashnode.devMay 2 · 3 min read

The 2026 AI Market Shakeup: Rising Costs, Billing Changes, and the Chinese Model Challenge

Why AI is getting more expensive—and what it means for developers, enterprises, and the global AI race Published on May 03, 2026 The AI honeymoon phase is officially over. In early 2026, we're witne

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VPVinod Polinativinodpolinati.hashnode.devApr 7 · 4 min read

The Accidental Reveal of Anthropic's Most Powerful Model

In late March 2026, Anthropic suffered a high-profile data mishap when nearly 3,000 internal files, including draft blog posts, became publicly accessible. Among them was a draft announcing Claude Myt

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VPVinod Polinativinodpolinati.hashnode.devMar 14 · 3 min read

The Agentic Explosion: OpenAI, Google, Meta & Yann LeCun's $1B Bet

In early March 2026, OpenAI dropped GPT-5.4 — a model family that crossed a huge milestone. On OSWorld-V (real desktop productivity benchmark), it scored 75%, edging past the human baseline of 72.4%.

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VPVinod Polinativinodpolinati.hashnode.devFeb 26 · 4 min read

MIT's TLT Breakthrough: Double LLM Training Speed Using Idle GPUs – No Accuracy Loss

Training frontier LLMs is brutally expensive — not just in dollars (clusters cost millions), but in time. Weeks or months on thousands of GPUs, with massive energy bills and idle hardware during synch

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VPVinod Polinativinodpolinati.hashnode.devFeb 13 · 4 min read

GLM-5: Zhipu AI's 744B Open-Source Beast – The New King of Agentic Coding? (Feb 2026 Breakdown)

Just two days ago (Feb 11, 2026), Zhipu AI (aka Z.ai) dropped GLM-5 - a massive 744B-parameter Mixture-of-Experts (MoE) model under full MIT license. Trained entirely on Huawei Ascend chips (no NVIDIA in sight), it's already topping open-weight leade...

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Vinod Polinati

About

Available for

Vinod Polinati's blogs

Recently published

The 2026 AI Market Shakeup: Rising Costs, Billing Changes, and the Chinese Model Challenge

The Accidental Reveal of Anthropic's Most Powerful Model

The Agentic Explosion: OpenAI, Google, Meta & Yann LeCun's $1B Bet

MIT's TLT Breakthrough: Double LLM Training Speed Using Idle GPUs – No Accuracy Loss

GLM-5: Zhipu AI's 744B Open-Source Beast – The New King of Agentic Coding? (Feb 2026 Breakdown)

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Vinod Polinati

About

Available for

Vinod Polinati's blogs

Recently published

The 2026 AI Market Shakeup: Rising Costs, Billing Changes, and the Chinese Model Challenge

The Accidental Reveal of Anthropic's Most Powerful Model

The Agentic Explosion: OpenAI, Google, Meta & Yann LeCun's $1B Bet

MIT's TLT Breakthrough: Double LLM Training Speed Using Idle GPUs – No Accuracy Loss

GLM-5: Zhipu AI's 744B Open-Source Beast – The New King of Agentic Coding? (Feb 2026 Breakdown)