Natalia Segal
ML EngineerSenior AI Technical Solutions Architect
NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI Technical Solutions Architect
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Université Paris Cité
Doctor of Philosophy (PhD), Theoretical, descriptive and computational linguistics, NLP
January 1, 2006 – January 1, 2011
Université Paris Cité
Master's degree (DEA), NLP, Linguistics, Speech Technologies
January 1, 2004 – January 1, 2005
École Polytechnique
International Exchange Program, Computer science
January 1, 2003 – January 1, 2004
Saint Petersburg State University
Master's degree (Bac+5), Mathematical, Computational and Applied Linguistics
January 1, 1998 – January 1, 2003
NVIDIA
Senior AI Technical Solutions Architect
May 1, 2024 – Present
Ville de Paris, Île-de-France, France
SYSTRAN
AI/ML Engineering Project Leader, in charge of research and development projects
January 1, 2017 – May 1, 2024
Ville de Paris, Île-de-France, France
SYSTRAN
NLP R&D engineer
February 1, 2015 – December 1, 2016
Ville de Paris, Île-de-France, France
LIMSI CNRS
Postdoctoral Researcher in NLP
January 1, 2014 – January 1, 2015
Orsay, Île-de-France, France
Reverso - Softissimo
NLP R&D Engineer
October 1, 2011 – December 1, 2013
Neuilly-sur-Seine, Île-de-France, France
France Telecom R&D
PHD Student
January 1, 2006 – January 1, 2009
Lannion
France Telecom R&D
Intern
April 1, 2005 – September 1, 2005
Lannion
The Art of Compressing LLMs: Pruning, Distillation, and Quantization Demystified
NVIDIA
June 24, 2026 – Present
Rapid Application Development with Large Language Models (LLMs)
NVIDIA
June 24, 2026 – Present
Model Parallelism: Building and Deploying Large Neural Networks
NVIDIA
June 24, 2026 – Present
Data Parallelism: How to Train Deep Learning Models on Multiple GPUs
NVIDIA
June 24, 2026 – Present
Building Transformer-Based Natural Language Processing Applications
NVIDIA
June 24, 2026 – Present
DeepLearning.AI TensorFlow: Advanced Techniques Specialization
Coursera Course Certificates
June 24, 2026 – Present
Deploying RAG Pipelines for Production at Scale
NVIDIA
June 24, 2026 – Present
Building AI Agents with Multimodal Models
NVIDIA
June 24, 2026 – Present
Efficient Large Language Model (LLM) Customization
NVIDIA
June 24, 2026 – Present
DeepLearning.AI TensorFlow Developer Specialization
Coursera Course Certificates
June 24, 2026 – Present
Neural Networks for Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Fundamentals of Accelerated Data Science
NVIDIA
June 24, 2026 – Present
Building RAG Agents with LLMs
NVIDIA
June 24, 2026 – Present
Building Conversational AI Applications
NVIDIA
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive academic background (multiple Master's degrees, PhD) and long tenure at SYSTRAN (over 7 years) suggest stability and a deep commitment to the field of NLP/ML. The transition to a Senior AI Technical Solutions Architect at NVIDIA indicates an interest in cutting-edge AI applications and potentially client-facing or solution-oriented roles. The breadth of certifications in LLMs, RAG, and model parallelism shows a proactive approach to learning and adapting to new technologies, which aligns well with an innovative and growth-oriented culture. The focus on research and development throughout their career also suggests a strong fit for a company that values innovation and technical depth.
Soft Skills & Operational Fit
The candidate's experience as an 'AI/ML Engineering Project Leader' at SYSTRAN suggests strong leadership, project management, and potentially team collaboration skills. The description of 'conceiving and developing innovative features' and 'managing applied research projects' indicates problem-solving and initiative. However, without psychometric test results or interview data, a definitive assessment of soft skills and operational fit is limited.