Talks

• Feb 14, 2026 — NLP Workshop with Data Overflow @ INSAT. Invited back for a second consecutive year by the Data Overflow team at INSAT University to lead a hands-on session covering practical NLP workflows. [Slides] [materials]
• Feb 8, 2026 — Agentic Retrieval Systems with Qdrant. Delivered a workshop at UIK university covering agentic retrieval systems using Qdrant within the Leafwise ML bootcamp event organized by ASIA. [Slides] [materials].
• Feb 6, 2026 — Semantic Anomaly Detection with Vector Search. Delivered an online workshop on semantic anomaly detection techniques using vector search with Qdrant within the GODS event organized by IEEE ENSI. [Slides] [materials].
• Jan 24, 2026 — MindShift 2.0. Invited by GDSC Enet’Com during the MindShift 2.0 event to walk participants through my GDG community journey.
• Jan 21, 2026 — Workshop Qdrant Ecosystem from Local to Cloud. Guided attendees through taking Qdrant workloads from local experiments into scalable cloud environments. [materials] [Notebook]
• Jan 18, 2026 — Beyond the Database Scaling Vector Search with Qdrant talk. Shared foundational concepts and hands-on pathways for adopting Qdrant during the Vectors in Orbit event organized with GDG SUP’COM and FST. [materials]
• Dec 1, 2025 — Hands-On Agentic RAG Development with Qdrant. Delivered during the AI Odyssey Hackathon run by GDGoC FSB and Dione Protocol, covering live agentic RAG pipeline development with Qdrant. [Slides]
• Mar 2025 — Intro-RAG-Data-Overflow. Part of the Deep learning Data Overflow bootcamp workshop about how to get started building your RAG pipelines organized by INSAT. [Slides]
• Feb 2025 — Into-to-NLP-GODS-4.0. It was a part of the GODS 4.0 hackathon sessions focused on data pre-processing and NLP techniques. [Slides]
• Feb 2025 — Intro-rag-and-techniques-EPI-FSS. A session highlighting practical RAG techniques, framework choices within a hackathon bootcamp. [Slides]
• 2024 — Intro-to-NLP-and-LLMs. Foundational session on classic NLP workflows and how modern LLMs augment them with instruction tuning and prompt-programming patterns. [Slides]
• 2024 — Intro-to-RAG. Practical walkthrough of Retrieval-Augmented Generation system design, covering retrievers, re-rankers and vector databases. [Slides]
• 2024 — NLP meets GenAI, LLMs, and RAG. Overview of how classical NLP workflows intersect with GenAI stacks and when to layer RAG for reliability organized by GDG Carthage. [Slides]