Vincent Kr
@vincentkr
I build production AI systems, data pipelines, and predictive models for regulated industries.
United KingdomWhat I'm looking for
At Accenture, I lead production GenAI and multi-agent platforms for GSK and a UK bank, including regulatory document automation, real-time email classification, RAG pipelines, and scalable API integrations. My AWS Bedrock solution processed 20M+ post-trade emails, achieved 90% classification accuracy, and reduced manual drafting effort by 70%.
I've also built electricity forecasting, renewable-energy risk, and predictive-maintenance models at Aqovia/NeuerEnergy, reducing grid battery downtime by 27%. Across more than 10 years in data science and data migration, I use Python, SQL, cloud platforms, MLOps, and end-to-end data pipelines to turn complex operational data into reliable systems.
Experience
Work history, roles, and key accomplishments
Designed and productionized a compliant multi-agent AI system on Azure for regulatory drug submissions, and led the full lifecycle development of a GenAI solution on AWS Bedrock for intelligent email classification and drafting.
Education
Degrees, certifications, and relevant coursework
University of Essex
Master of Science, Data Science
2018 - 2019
Pursued an MSc in Data Science, covering machine learning, deep learning, and applied statistics.
Pondicherry Engineering College
Bachelor of Technology, Mechanical Engineering
2008 - 2012
Earned a BTech in Mechanical Engineering, with coursework in machine learning and data analysis.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Portfolio
github.com/vincentkr18Job categories
Skills
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