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Assistant Vice President at Deutsche Bank - Applied GenAI/Agentic AI Engineering Lead | Solutions Architect
With over 14 years of experience in AI and data engineering, this professional currently serves as Lead Applied AI Engineer at Deutsche Bank, where they collaborate on crafting Generative AI-driven solutions to enhance financial systems. Their work focuses on leveraging cloud-based platforms, data engineering, and machine learning to address complex organizational challenges effectively. Prior to Deutsche Bank, they contributed to data and AI initiatives at organizations like BT Group, Fractal, Infosys and Tech Mahindra, fostering innovation and collaboration to deliver impactful results. They are driven by a mission to integrate cutting-edge AI technologies that align with organizational goals, improve operational efficiency, and support transformative business outcomes.
West Bengal University of Technology, Kolkata
Bachelor of Technology - BTech, Electrical and Electronics Engineering
May 1, 2007 – May 1, 2011
St. Patrick's H.S. School, Asansol
ICSE
April 1, 2005 – Present
Vikas Resonance
CBSE
April 1, 2003 – April 1, 2005
Deutsche Bank
Lead Applied AI Engineer
November 1, 2022 – Present
London Area, United Kingdom · Hybrid
BT Group
Data and AI Engineering Manager
June 1, 2021 – November 1, 2022
London Area, United Kingdom · Hybrid
Fractal
Senior Data and ML Engineer
August 1, 2017 – June 1, 2021
London Area, United Kingdom · Hybrid
Infosys
Senior Data Engineer
September 1, 2015 – August 1, 2017
Pune District, Maharashtra, India · Hybrid
Tech Mahindra
Senior Data Engineer
May 1, 2012 – August 1, 2015
Pune District, Maharashtra, India · On-site
Cultural Fit Analysis
The candidate has worked across diverse companies and industries (banking, telecom, consulting), indicating adaptability. The target role of 'Data Analyst' is a potential mismatch with the candidate's extensive experience in 'Lead Applied AI Engineer' and 'Data and AI Engineering Manager' roles, which are typically more senior and focused on engineering/ML. This could indicate a potential overqualification or a shift in career focus that needs clarification.
Soft Skills & Operational Fit
The candidate's resume indicates a progression into management and lead roles, suggesting strong leadership and team collaboration skills. However, without specific project details or psychometric test results, it is difficult to fully assess operational fit and soft skills.