Ai Engineer - Self Directed Projects And Products
CurrentCurrently engaged in exploring potential product opportunities within the commercial AI model landscape, with a particular emphasis on text data applications. Currently developing a semantic intelligent application aimed at addressing complex queries utilizing machine learning algorithms and generative AI technologies such as language models. Intrigued? Feel free to reach out; I'm enthusiastic about discussing further.Achievements (2024) Developed and implemented a machine learning classifier for breast cancer prognosis spanning from January 2024 to April 2024. Leveraged advanced algorithms to analyze medical data, achieving over 80% accuracy with voting confidence of five algorithms, in prognostic predictions. It can contribute to advancing medical research and patient care through innovative data-driven methodologies. (2023) Successfully delivered an IoT-based design brief for a corrosion meter to a pipeline infrastructure consultant (2018 – 2021) Successfully studied the distributed nature of the Internet of Things (IoT) devices in the AI context. (2015 – 2019) Successfully published an app on the Google Play Store in 2017, and revised twice - 2018 and in 2019. (it is not looked after so Google took it down ask me and I will show you it is sitting in the play console.)