Running a 100-day LinkedIn series telling the complete story of AI — from Alan Turing in 1950 to modern agents and LLMs. One person, one paper, or one breakthrough per day. Written for business leaders and professionals who want the real story without the jargon. 11 days in and counting.
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Presented ML-based anomaly detection and SLA prediction systems to senior stakeholders at DXC. Built using XGBoost and Random Forest — the SLA prediction model achieved 0.1% variance in forecast accuracy. Currently under patent review as a first-of-kind application of predictive ML in backup operations.
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Natural Language Workflow Editing Title: "Editing AI Workflows Using Chat" Description: "Demo of RAPR AI's chat-based workflow editor — modifying a live workflow and adding nodes through natural language. No manual config, just conversation.
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Built RAPR AI from scratch as a personal project. It's a desktop application that lets you chain Claude, Gemini, and local models into automated workflows without any extra API costs. Includes a skill marketplace, Telegram integration, shared memory across models, and self-fixing agent loops. Open source and live at raprai.com (http://raprai.com).