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Qamir Hussain
Head of Machine Learning and AI at Webio Ltd
Qamir Hussain is the Head of Machine Learning at Webio Ltd, a company that focuses on building conversational systems. Based in Ireland, he has a significant presence on LinkedIn, where he engages with a professional community of over 500 connections.
In his role at Webio, Qamir Hussain is involved in technical discussions and meetups, sharing insights on topics such as classification fine-tuning and the landscape of large language models (LLMs) and generative AI tooling. His recent activities include organizing technical talks and contributing to discussions on conversational AI and natural language understanding (NLU) .123
Qamir Hussain's expertise lies in machine learning and AI, particularly in the context of developing conversational technologies, which are crucial for enhancing user interactions with digital systems.
Highlights
Some of the best software engineers start off as QA engineers. They just have to think about software in finer detail and they won't release something half-arsed out to staging or production. This detailed thinking extends to their software engineer skills if they decide to move into software engineering roles.
It's funny how so many places relegate QA/Testing/Performance Testing into the 'something we do at the end if we need to because our software is always perfect' bucker.
It reminds me of localisation, something else that very often is an afterthought. Hard code all your text, audio, and video links and don't worry about abstracting them out.
The point here is that ahead of time you can have the architecture in place to get localisation done and more importantly deliver better quality software out quicker if both are first class citizens of the dev process.
Let's stop running fast to create broken software.
#Software #QA #SoftwareEngineering #BrokenSoftware
It's nice to be reminded what Google scale is, we learnt a lot about the AI/ML services, the hardware, and networking that powers it all. The UX on GCP deserves a special mention; clean, intuitive, and powerful. The tooling around MLOPs & Data Science is likewise really cool.
Photos below of the MADS (Machine Learning AI & Data Science) team from Webio at Google London.
A special thanks to Sophie Davies, Felipe Peres Catalano, and Stephanie Anani for making it all happen and covering so much ground, we're all looking forward to the next session!
cc Kanan Mahajan, Divya Das, Oliver Fokerd.
#GCP #AI #MLOps #DataScience #ML #MachineLearning #MADS #Google #LLM
