Aakriti Aggarwal
Microsoft MVP | AI Engineer @ IBM | Technical Writer | Researcher | Speaker
📋 Biography
I am passionate about Gen AI, system architecture, and AI-driven innovation. My expertise spans LLMs, RAG, AI orchestration, and multimodal AI, where I bridge the gap between cutting-edge research and real-world enterprise solutions. As an AI Engineer at IBM Watson, I work on building next-gen AI applications, optimizing business processes, and enhancing AI-driven automation. I have a strong passion for architecting AI systems, particularly in Generative AI, ensuring they are scalable, secure, and efficient. My research paper on Deep Fake Detection, published with IEEE, reflects my commitment to AI advancements and responsible AI. Beyond my professional work, I actively contribute to the AI community as a LinkedIn Top Data Science Voice, mentor, and speaker. I write the blog series and engage in thought leadership around AI and system design. Excited to be part of the Microsoft MVP community and continue sharing, learning, and collaborating!
✨ High-Impact Contributions 3
This is a system auto-created Activity associated with the AI Mastery Series: Basics to Deployment on Azure AI Foundry.
This is a system auto-created Activity associated with the AI Mastery Series: Basics to Deployment on Azure AI Foundry.
What we discussed: 🔷 Day 1: Introduction to Al Agents & Microsoft Azure Al Foundry 🔷 Day 2: Hands-on workshop - Build & deploy agents from scratch 🔷 Day 3: Deep dive into connecting tools with MCP server for your Al agents