Guru Radhakrishnan, PhD
About Guru Radhakrishnan, PhD
Guru Radhakrishnan, PhD, is a Senior Machine Learning Engineer specializing in Natural Language Processing at Theta Lake. He has authored 15 research publications, holds a PhD in Bioinformatics, and has a strong interest in Generative AI and MLOps.
Work at Theta Lake
Guru Radhakrishnan serves as a Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) at Theta Lake. He has been with the company since 2022, working remotely from England. In his role, he focuses on developing and deploying models that detect risks in text and audio conversations, particularly within financial and other highly-regulated sectors. His expertise in combining classical and advanced NLP methods contributes to the company's efforts in enhancing compliance and risk management.
Education and Expertise
Guru Radhakrishnan holds a Doctor of Philosophy (PhD) in Bioinformatics from the University of East Anglia, where he studied from 2013 to 2017. He also earned a Bachelor of Technology in Biotechnology from the National Institute of Technology Durgapur, completing his studies from 2009 to 2013. Additionally, he possesses an ILM Level 5 Diploma in Leadership & Management. His academic background supports his strong interest in Generative AI, MLOps, NLP, and large language models (LLMs).
Professional Background
Guru Radhakrishnan has extensive experience in data science and machine learning. He began his career at the John Innes Centre, where he held various roles, including Senior Data Scientist and Lead Data Scientist, from 2013 to 2021. He worked as a Data Scientist and later as a Lead Data Scientist at Aviva from 2021 to 2022. His work experience spans both on-site and hybrid environments, showcasing his adaptability in different work settings.
Research Contributions
Guru Radhakrishnan has authored 15 research publications that have garnered over 2500 citations in leading scientific journals. His contributions to scientific research and development were recognized when he was featured in the Forbes 30 Under 30 list for Europe in 2020. His research primarily focuses on the application of machine learning techniques in bioinformatics and NLP, reflecting his commitment to advancing knowledge in these fields.