Urooj Khan@Urooj19
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India
3+ years of experience
About me
Urooj Khan is an experienced Generative AI Engineer at Capgemini, where she designs and delivers Enterprise-grade Agentic AI and Applied Machine Learning solutions for client-centric use cases across industries. She specializes in building Agentic Systems and Scalable LLM-powered architectures, with strong hands-on expertise in LLMOps and ML Engineering. Her work is centered on developing robust, production-ready AI systems that enable organizations to optimize operations, unlock actionable insights, and innovate responsibly with large language models. Beyond her professional role, Urooj is deeply committed to advancing women in technology and promoting ethical AI innovation. She has been serving as a Google Women Techmakers Ambassador (2024) and was selected for the Transition Advisory Council (2026). In 2025, she was recognized as an AI Changemaker in the global AI Kiran Directory for her impact and contributions to the AI ecosystem. Passionate about continuous learning, community building, and responsible innovation, she actively mentors aspiring technologists and advocates for inclusive participation in emerging technologies.
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DevOnboard Intelligent Onboarding Copilot
Every engineering team has a dirty secret: onboarding new developers onto a large, legacy codebase takes 3 to 6 months, and most of that time is wasted deciphering undocumented logic, fear-touching critical modules, and chasing senior engineers who are already overloaded. Companies lose engineering velocity, and new hires lose confidence before they write a single meaningful line. DevCompass is a multi-agent AI copilot that gives every new developer a senior engineer in their pocket from day one. Powered by IBM Bob, DevCompass runs four specialized AI agents in an orchestrated LangGraph pipeline. The Codebase Archaeologist reverse-engineers any GitHub repository into a living architectural map in minutes. The Knowledge Gap Detector traces exact execution paths through real code files, flagging underdocumented and stale zones. The Safe Change Impact Analyzer simulates the blast radius of any proposed change and outputs a 0–100 Risk Score before a developer touches anything. The Auto-Documentation Sync agent regenerates docs on every merged commit, with a live Documentation Health Score graded A–F. IBM Bob's repository context understanding makes this possible. it reasons through codebases the way a senior engineer would. DevCompass chains four agents into a continuous workflow: from architecture analysis to pre-commit safety checks to post-merge doc regeneration, creating a perpetual, self-updating knowledge layer around any codebase. Every answer is grounded in actual repository content. No hallucinations, no guesses.
17 May 2026
