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AI Engineer with 10+ years in Machine Learning, Deep Learning, and Cloud Solutions.
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Assessing your cultural and operational fit
Highly skilled and results-driven AI Engineer with over 11 years of experience in designing and implementing AI-driven solutions. Proven expertise in machine learning, deep learning, NLP, and generative AI models to achieve client KPIs. Adept at developing end-to-end AIML solutions, optimizing deployment with CI/CD and MLOps, and utilizing cloud architectures for data analysis and feature engineering.
KR Mangalam University
MCA
August 1, 2024 – June 30, 2026
BITS Pilani
MBA Finance · Finance
August 1, 2019 – June 30, 2020
Guru Gobind Singh Indraprashta University
BBA
August 1, 2011 – June 30, 2014
Deloitte Touche Tohmatsu India LLP
Consultant
April 1, 2026 – Present
India
Royal Guild Financial Services Private Limited
Consultant
September 1, 2014 – August 1, 2024
India
Cultural Fit Analysis
The candidate's experience spans financial services and consulting, indicating adaptability to different industry contexts. The mention of 'fulfilling client KPIs' and 'enhancing productivity' aligns with a results-oriented culture. The breadth of tools and platforms used (AWS, Azure, GCP, various ML/DL libraries) suggests a willingness to learn and adapt to diverse technical environments. The target role of AI Engineer aligns well with the candidate's stated experience and skills in AI/ML solution development and deployment.
Soft Skills & Operational Fit
The candidate's resume indicates experience in consulting roles, suggesting skills in client engagement, problem-solving, and project delivery. The description of enhancing deployment speed and productivity implies an operational mindset focused on efficiency. However, without specific psychometric test results, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.