Labs
Open-source contributions
Added Traceability to BeeAI Agentic Framework
Traceability is an essential part of AI Agents development. I have added code to trace agents developed with BeeAI framework in LangSmith.https://framework.beeai.dev
Travel planner agent recipe with granite 3.0 and LangChain Agents
I have contributed “Travel planner agent recipe with granite 3.0 and LangChain Agents” IBM Granite recipe to IBM Granite community.https://github.com/ibm-granite-community/granite-snack-cookbook
Added Red Hat Certification support to all the Dockerfiles of Cloud Native Toolkit
Added Red Hat Certification support to all the Starterkits of Cloud Native Toolkit.https://develop.cloudnativetoolkit.dev/
Contributed to documentation of Context-forge MCP Gateway.
Implemented the code base, and fixed documentation gaps.https://ibm.github.io/mcp-context-forge/
Articles
Series: AI Agents best practices, Governance, Observability, Traceability and more.
Articles covering topics that can help you develop enterprise grade AI Agents.Read Time: 15 min
Series: Learn how to train an open source Large Language Model (LLM)
I have explained how to train an open source LLM by creating skills/knowledge and training it in InstructLab.Read Time: 25 min
Step-by-Step Guide to Develop an AI Agent for E-Commerce Analytics
I have explained how to build an AI agent using Langchain to analyze e-commerce patterns such as customer behavior to identifying trends in product sales and user feedback to make informed decisions and enhance user experiences.Read Time: 13 min
Learn How can a Software Developer get started towards Sustainable Software Engineering
I have shared my learnings about What and Why of Sustainable Software Engineering and how you as a Software Developer can get started.Read Time: 7 min
I also contribute to developers on StackOverflow answering the questions.