Engineering Manager - Quality Engineering
Specialising in Generative AI and Cloud-Native testing
As an Engineering Manager, I bridge the gap between innovative software development and robust quality assurance practices. My expertise spans across modern testing methodologies, cloud-native architectures, and team leadership in agile environments.
With extensive experience in test automation frameworks, CI/CD pipelines, and quality engineering, I help organizations establish scalable testing strategies that accelerate delivery while maintaining the highest standards of software quality.
My approach combines technical excellence with strategic thinking, enabling teams to adopt cutting-edge testing practices, implement effective automation solutions, and foster a culture of quality throughout the software development lifecycle.
Comprehensive quality engineering strategies and testing methodologies
Scalable automation frameworks and CI/CD integration
Team mentoring and quality engineering practices
Sharing knowledge on quality engineering, test automation, and generative ai.
Explore the latest techniques for fine-tuning generative AI models using LlamaIndex, Hugging Face Transformers, and parameter-efficient methods like LoRA and QLoRA. This guide covers everything from data preparation to deployment, ensuring your AI applications are contextually relevant and efficient.
This blog post explores the misconception that Retrieval Augmented Generation (RAG) is synonymous with vector search, highlighting the diverse retrieval methods available for effective RAG implementations.
Discover how to leverage generative AI models like GPT, Gemini, and Claude to build sophisticated intent classifiers that power next-generation AI applications and multi-agent systems.