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7 posts · 9 topics

Field notes.

Write-ups on agentic systems, explainable ML, research, and the work of shipping AI that a business relies on.

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  1. What I'm building in 2026: agentic AI, a harvesting robot and three manuscripts

    A map of my current work: production AI agents, the GBNI framework, the Aglier fruit-harvesting robot, the MITHRA cybercrime platform, and the papers behind them.

    Agentic AI · Research · Robotics

  2. What a business analyst brings to an AI team

    Why effective AI work starts with a business decision, not a model, and how A/B testing, cohort analysis and dashboards make AI projects succeed.

    Business · Career

  3. From freelancer to lead AI engineer in twenty months

    The path from a freelance role to Lead AI Engineer at Eject Solutions between March 2024 and November 2025, the results behind each step, and three lessons from it.

    Career · Business

  4. GBNI explained: state-aware multimodal AI agents for brand communication

    Generative Brand Narrative Intelligence, my state-aware multimodal agent framework, explained in plain language, from stateless prompts to agents that remember.

    Agentic AI · Research

  5. Explainable diabetes prediction with Random Forest and SHAP

    How a tuned Random Forest reached 0.87 ROC-AUC on diabetes risk, why ROC-AUC mattered more than accuracy, and how SHAP explains every prediction.

    Machine Learning · Research

  6. How to build a lead generation data pipeline with Python and SQL

    The five stages behind a Python and SQL pipeline that produced 3,000+ qualified leads and facilitated ₹1.4 crore in revenue, with the funnel maths that governs yield.

    Data Engineering · Business

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