
Staff AI/ML Engineer
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Assessing your cultural and operational fit
Seasoned Machine Learning Engineer and Data Scientist with over a decade of experience delivering end-to-end AI solutions in production environments across finance, supply chain, and accounting domains. Deeply interested in psychology and causality.
National School of Computer Science and Applied Mathematics of Grenoble
Research Master's degree, Computer Science
January 1, 2014 – January 1, 2016
Université Grenoble Alpes
Research Master's degree, Data Science
January 1, 2014 – January 1, 2016
Blue Yonder
Staff GEN-AI Engineer
October 1, 2024 – Present
Paris, Île-de-France, France · Hybrid
Inqom
Research Engineer
May 1, 2017 – February 1, 2023
Paris, Île-de-France, France
Inqom
Machine Learning Engineer
May 1, 2017 – February 1, 2023
Paris, Île-de-France, France
Inqom
Senior Data Scientist
May 1, 2017 – February 1, 2023
Paris, Île-de-France, France
Laboratoire d'Informatique de Grenoble
Research Intern -Word Embeddings In Information Retrieval
February 1, 2016 – July 1, 2016
Greater Grenoble Metropolitan Area
LIG Grenoble
Research Intern (Word Sense Alignment)
February 1, 2015 – June 1, 2015
Greater Grenoble Metropolitan Area
University of Joseph Fourier, Grenoble
Research Intern- Compiler
January 1, 2015 – February 1, 2015
Greater Grenoble Metropolitan Area
Cognizant Technology Solutions
Software Engineer
March 1, 2013 – August 1, 2014
Greater Kolkata Area
Cognizant Technology Solutions
Software Engineer
December 1, 2011 – March 1, 2013
Greater Kolkata Area
Text Detector and Document Segmentor
March 1, 2017 – April 1, 2017
Takes scanned images of documents as input and segments the text blocks. It is quite robust to different shapes of documents and uses a convolution neural network to identify texts inside the image. Almost like an OCR engine except for character identification.
Cultural Fit Analysis
The candidate's diverse experience, ranging from compiler development to web applications and then specializing in ML/NLP, indicates a broad technical curiosity and adaptability. The multiple research internships and master's degrees suggest a strong academic foundation and a continuous learning mindset. The long tenure at Inqom (6 years) across different ML-related roles demonstrates loyalty and the ability to grow within a company. The transition to 'Staff GEN-AI Engineer' at Blue Yonder further aligns with cutting-edge ML domains, suggesting a fit for innovative and challenging environments.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest a proactive approach to problem-solving (converting business value propositions into projects, identifying research directions) and a strong sense of responsibility (handling and monitoring models in production). The progression from Research Engineer to Senior Data Scientist and ML Engineer at Inqom indicates adaptability and growth within a technical organization. The project on 'Text Detector and Document Segmentor' shows initiative and practical application of deep learning.