@vinodpolinati
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
Recently published
The Agentic Explosion: OpenAI, Google, Meta & Yann LeCun's $1B Bet
Mar 14 · 3 min read · 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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MIT's TLT Breakthrough: Double LLM Training Speed Using Idle GPUs – No Accuracy Loss
Feb 26 · 4 min read · 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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GLM-5: Zhipu AI's 744B Open-Source Beast – The New King of Agentic Coding? (Feb 2026 Breakdown)
Feb 13 · 4 min read · 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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Recursive Language Models: Could This Be the Real Fix for Long-Context AI in 2026?
Feb 13 · 4 min read · For the past few years, the dominant narrative in LLM research has been simple: Bigger context windows = smarter models. We moved from 8K → 128K → 1M → and even bold claims of 10M+ tokens.Models like Gemini, GPT-5 series, Claude, and Qwen proudly adv...
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