This meet-up is focused on the practical applications, emerging opportunities, and inherent challenges of integrating open-source AI tools and techniques throughout the SDLC.
The goal is to showcase how open-source AI democratizes access to powerful capabilities, augmenting human skills across all roles in a software team -- not just developers. This meet-up aims to foster discussions on best practices, share real-world use cases, highlight impactful open-source AI projects relevant to the SDLC, and inspire you to adopt and contribute to this rapidly evolving space.

Speakers from IBM Research, Nutanix, Sarvam AI, Sahaj Software and TestZeus, offered practical insights about cutting-edge innovations in AI efficiency, fine-tuning techniques, data preparation, and real-world applications.


📌 Optimizing LLM tuning & fine-tuning – Preethi Srinivasan of Sahaj Software explained efficient training strategies, LoRA, intrinsic dimensions, and their impact on AI performance.
📌 Building Bharat’s AI ecosystem – Tushar Goswamy of Sarvam AI presented a demo on Sarvam’s speech and text models designed for a billion users in India.
Read the meet-up report
Watch the after movie of the meet-up at https://youtu.be/9IUmFyRW1FU
- Software architects/tech leads: Grasp the architectural implications of AI integration and how AI can assist in design and refactoring
- Engineering managers/ Project managers: Learn how AI impacts project planning, resource allocation, risk management, and team productivity.
- Software developers (frontend, backend, full stack): Discover AI tools to accelerate coding, enhance debugging, and boost overall productivity.
- Quality assurance engineers/testers: Explore AI-powered testing techniques, intelligent test case generation, and how your role evolves towards more strategic quality assurance.
- Business analysts/Product owners/Product Managers: Understand how AI can aid in requirements gathering, market analysis, and feature prioritization for smarter product development.
- DevOps Engineers/SREs: Learn about AIOps, intelligent monitoring, automated incident response, and AI-enhanced infrastructure management.
Data Scientists / ML Engineers: See how your expertise integrates more deeply with the software development process and collaborate effectively with development teams.
- Software product companies: Learn to embed AI into your development processes and build next-generation AI-powered features.
- IT Services and consulting firms: Understand how to offer AI-driven SDLC transformation and train your teams.
- Companies with internal development teams (all industries): Improve the efficiency and quality of your in-house software development.
- Startups: leverage open-source AI to accelerate development and build innovative products cost-effectively.
- Open source projects & communities: Connect with users, showcase your tools, and collaborate on the future of AI in SDLC.
- Academia & research institutions: Understand industry trends, share research, and connect with practitioners.
Ramky is a Senior Principal Product Manager at Red Hat’s data + AI group, leading the technical strategy and operationalization of AI models. He ensures seamless integration of AI into Red Hat’s products while managing compliance, governance, and scalability.
A seasoned open-source contributor, Ramky has worked on projects like Fedora, Django, GNOME, and GlusterFS. His expertise spans system design, functional programming, and AI infrastructure.
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