Figuro is an AI-powered learning app built around one idea: helping learners understand how to solve problems instead of just giving them the answers. Building it was a learning experience for me, especially when it came to turning my idea into a working application and exploring agentic AI. I'm happy to share this milestone with the DDS community, and I'm looking forward to what I can build next!

Hi everyone, Tomorrow, Sunday 11 October, 12:00 to 2:00 PM Dubai time, I'm running a free live masterclass on Zoom: Master Agentic AI, the 4 layers of engineering, plus an intro to Jev. We'll go through prompt, context, harness and loop engineering, and how they fit together when you build agents that actually do work. Register: https://nas.com/artificialintelligence/events/master-agentic-ai-from-plant-data-to-intelligent-action-1791112892570 Zoom: https://zoom.us/j/98750885760?pwd=by9h1NfOg1wjHGZLMuCrrDn9F34tbP.1 Bring your questions. See you there. Mohammad

Really happy to share that I’m one of the 35 builders across 9 sectors selected as finalists in the Decoding Data Science Building an Agentic AI Application Challenge! I’m really proud to have Figuro included among all these amazing projects. The 8-day challenge is officially done, and I’m really happy to see how far Figuro has come. Really excited for what’s next!

Really happy to share that I’ve been selected as one of the Top 35 finalists in the Decoding Data Science community. What makes this exciting for me isn’t just the selection — it’s knowing that the projects, experiments, and learning I’ve been putting in are actually moving somewhere. DDS has pushed me to go beyond just learning concepts and actually build, test, break, and improve AI applications. Now onto the next stage. 🚀 Grateful for the opportunity, and even more motivated to see what I can build from here. Top 35 → next goal: keep going. 🔥 #DecodingDataScience #DDS #AI #LearningByBuilding #AIEngineering

I’m excited to share that I’ve successfully completed Day 3 of the DDS AI Accelerator Bootcamp, marking the final milestone of my HR chatbot build: DDS_HR_MALPOTRA. Over the last three days, I designed and deployed an AI‑powered HR Policy Query Assistant using: - GPT6 Luna / GPT‑4o‑mini - LlamaIndex RAG pipeline - Pinecone vector database - Gradio interface - Hugging Face Spaces deployment What was achieved - End‑to‑end RAG pipeline setup - Pinecone integration for faster and more accurate retrieval - Complete Gradio UI for employee HR queries - Deployment on Hugging Face Spaces - Environment variable configuration and runtime stability - Tested HR queries with structured outputs Demo & Notebooks Hugging Face Space: https://huggingface.co/spaces/Adarshmalpotra/DDS_HR_MALPOTRA https://github.com/Adarshmalpotra/ADARSH-KUMAR-MALPOTRA/blob/main/bootcampsep26/day3-pineconellamaindex-sep27.ipynb My heartfelt thanks Mohammad Arshad Sir for the opportunity and the excellent learning experience.