Accepting 2 selective client engagements for Q3 2026
Who Pays When Your AI Agent Breaks the Law?
An deep dive into the legal, financial, and technical accountability gaps surrounding autonomous AI agents that escape their environments.
Shubham Gupta
Shubham Gupta is the Founder and Senior AI/LLM Data Scientist at QuantG. With 4.5 years of technical experience engineering advanced machine learning pipelines and large language model architectures, he is dedicated to delivering high-performance, enterprise-grade AI solutions. Under his leadership, QuantG drives technical innovation by building scalable, zero-latency data systems designed for real-world impact. Connect with him on LinkedIn to follow his latest development frameworks.
Ultimate Guide to HKUDS Vibe Trading – Complete setup and Run (2026)
A complete, practical guide to setting up and vibe coding your own AI trading agent using the open-source HKUDS Vibe-Trading framework.
Forecasting Crude Oil Prices with Google’s TimesFM Model: A Complete Python Guide
Learn how to predict crude oil prices using Google's zero-shot TimesFM model in Python. A complete step-by-step guide from pulling data to generating forecasts.
Building AI Agents in Python: A Practical Guide to LangChain & CrewAI (2026)
How to build production-ready AI agents in Python using CrewAI and LangChain. A guide to tool calling, multi-agent workflows, and solving real-world errors.
OpenWA Guide 2026: Build a Free WhatsApp API Without Meta Fees
openwa - Free whatsapp api, full setup guide. srun bots, send text, log data, track links, and sync chats on your system with zero meta fees.
TencentDB Agent Memory: How a Four-Tier Pipeline Cuts AI Token Usage by 61%
TencentDB Agent Memory is an open-source TypeScript framework that gives local AI agents a four-tier memory hierarchy — raw logs at L0, atomic facts at L1, scenario summaries at L2, and a persistent user profile at L3.
34% Expiry reduced : We predicted demand before the warehouse felt it
A mid-sized FMCG exporter was losing margin to expiry every quarter. Demand forecasting changed that. 34% reduction in 6 months, no new suppliers needed.
How a Production-Grade Voice Agent Handled 40% of Inbound Contact Volume
Overview Industry Energy & Utilities Timeline 4-5 weeks Outcome Voice agent autonomously handled 40% of inbound contact volume, dropping hold times to zero for routine queries. Table of Contents Overview Client Background Problem / Challenges Goals / Objective What we…
Google TurboQuant Explained: The Definitive Guide to 2026’s AI Revolution
You’re using AI tools every single day. There’s a problem you don’t even know about. Every time you have a long conversation with an AI, it’s quietly running out of memory. The longer the chat, the slower it gets, the…
How i locally run Deepseek llama on Android Using Ollama and Termux: A Technical Implementation Guide
In my work as an AI/ML engineer, I’ve spent considerable time evaluating on-device inference solutions for resource-constrained environments. The convergence of Meta’s Llama 3.2 release and Ollama’s expansion into mobile platforms represents a practical inflection point for local language model…