Résumé
Technology leader with 15+ years driving innovation in decarbonization, AI/ML, and data platforms across global energy markets. Most recently, as Technology Manager for the Decarbonization Planning product in SLB's Sustainability Platform, I led efforts to drive decarbonization in hard-to-abate industries, enabling clients to make strategic, data-driven decisions through comprehensive decarbonization pathways and insights.
Previously, as Project Manager for the Data Science Platform, I delivered advanced data science solutions within the DELFI cognitive E&P environment (Google, Azure), democratizing data science in the oil and gas industry through ModelOps and GenAI. Earlier, as OSDU Data Ecosystem Foundation/Operations Lead, I ensured the delivery and operational readiness of foundational data ecosystem services for internal and external clients.
My experience also includes serving as a Senior Machine Learning Research Scientist at Schlumberger-Doll Research Robotics in Boston, where I led projects on digitizing and automating asset integrity data using machine learning in collaboration with a major oil and gas operator. Before that, as a Software Engineer/Team Lead at Schlumberger Software Center in Norway, I developed deep learning algorithms for structural classification and localization in subsurface exploration and production.
I hold a Ph.D. in Computer Science from INRIA (France), specializing in 3D geometry processing and modeling. My research focused on automatic modeling of 3D physical scenes and feature-preserving 3D mesh generation. I am passionate about bringing ideas from concept to realization, leveraging my technical expertise and international experience to lead innovation-driven teams that deliver impactful results.
Having lived in Kuwait (17 years), France (11 years), the USA (8+ years), and Norway (4 years), and traveled to 34+ countries, I bring a global perspective to every challenge. I thrive on tackling new domains, driving innovation, and building strong relationships across diverse teams.
Currently seeking my next leadership role in technology management, focusing on decarbonization, AI/ML platforms, or innovation-driven product development.
Specialties: Decarbonization, GenAI, deep learning, robotics, data science platforms, MLOps/ModelOps, 3D geometry processing, innovation management, communication, PR, and technical evangelism.
Alternate Names/Common Misspellings: Nadar Salman, Nader Salmann, Nadir Salman, Nader Salzman.
Expériences professionnelles
Decarbonization planning technology manager
SLB , Houston
De Février 2024 à Mai 2025
● Built and launched a decarbonization planning early adopter product as employee #1, owning team hiring, algorithms, and roadmap; production deployments on GCP and Azure for enterprise clients (e.g., Saudi Aramco).
● Managed $5M budget; led 15+ cross‑functional team (front/back‑end, UX, DevOps, QA, SRE) across three countries; co‑authored sustainability platform patents.
● Established KPIs, reliability, security, and cost controls; drove pilot‑to‑production early adoption and executive stakeholder alignment.
Data science platform project manager
SLB
De Mai 2021 à Février 2024
Data Science Platform Project Manager delivering data science solutions within the DELFI cognitive E&P environment. Responsible for integrating third-party data science technologies (e.g., Dataiku, TIBCO) into cloud environments and tech stacks from Google, Microsoft, and IBM/Red Hat to enable data science democratization through MLOps and low-code tools.
Oversee a multi-million-dollar budget and lead a global team of 20 professionals across the USA, Mexico, Colombia, Brazil, Ukraine, and India, including technical leads, architects, cloud engineers, AI specialists, UI developers, DevOps engineers, and SREs from Schlumberger, IBM, and Red Hat.
Team leader - osdu foundation and operations
SLB
De Juin 2020 à Mai 2021
OSDU Data Ecosystem (DE) Foundation and Operations Lead, responsible for delivering DE foundation services for Schlumberger and external clients, ensuring operational readiness, and managing quality goals through DevOps and quality metrics across GCP and Azure. Collaborate closely with cloud providers like Microsoft and Google.
Lead a team of 10–14 engineers across Europe, the USA, and China.
Senior scientist - robotics
SLB
De Juillet 2017 à Juin 2020
Senior Scientist in Schlumberger-Doll Research's Robotics department, leading applied research to advance automation in oilfield operations. Technical lead for an 8-member team on a joint SLB project with a major operator, focused on digitizing and automating subsea asset integrity data using machine learning.
Contributions include developing IP, Minimum Viable Products (MVPs), and publishing advancements in computer-aided vision and navigation algorithms for marine robotics. Utilize expertise in marine seismic operations and software development to design, simulate, and test research prototypes in real-world applications. Achievements include three PCT patents as first author.
Technologies: Active learning, data mining, C++, Python, TensorFlow, Keras, Visual Studio, PyCharm, Perforce, NVidia Jetson Xavier.
Team leader - computer aided seismic interpretation with ml & automated fault extraction
SLB
De Septembre 2016 à Juin 2017
Technical lead for developing deep learning algorithms for structural classification and localization in the subsurface for exploration and production (E&P). Focused on leveraging Google TensorFlow and GCP to enable complex petrotechnical interpretation of seismic data and automate 3D seismic interpretation.
Contributions include eight PCT patents.
Senior software engineer - multi-z meshing & mesh editing
SLB
De Janvier 2015 à Septembre 2016
Member of the Petrel Geophysics team, responsible for developing deep learning algorithms and implementing advanced features for the E&P industry. Key contributions include:
Developing Ocean APIs for the Petrel Seismic Mixer and implementing mesh editing requirements in the Petrel 2015/16 E&P Software Platform.
Designing and implementing the Multi-Z 3D mesh generation algorithm in Petrel 2015.
Conceiving and coordinating the first public Seismic Attributes Benchmark.
Achievements include one granted patent.
Technologies: C#, C++/CLI, C++, Python, TensorFlow, Ocean, Petrel, Visual Studio, PyCharm, Perforce, Windows, Linux.
Software engineer - multi-z meshing
SLB
De Mars 2013 à Décembre 2014
Collaborated with the Petrel Geophysics team and WesternGeco Earth Modeling group in SNTC Stavanger, Norway, contributing to 3D multi-Z functionality in Petrel 2013/14/15.
Key Contributions:
Designed and developed solutions for multi-Z salt surface modeling, including processing algorithms, surface reconstruction, inconsistency detection, and automated visual QC for 3D interpretations.
Implemented mesh operation solutions and led the Geometric Modeling SIG at Schlumberger.
Delivered technical presentations internally and to clients (Oil India, Chevron, Exxon, Shell, etc.) and mentored an intern on 3D surface mesh merging.
Achievements include one PCT patent.
Technologies: C#, C++/CLI, C++, Python, TensorFlow, Ocean, Petrel, Visual Studio, PyCharm, Perforce, Windows, Linux.
Visiting phd student
Stanford University
De Mai 2010 à Juillet 2010
Doctoral visit in Prof. Leonidas Guiba's lab, Stanford
University, California, USA.
Teaching assistant
EFREI - Grande école du numérique
De Septembre 2009 à Octobre 2009
Teaching assistant in Mathematics and Algorithms for Geometry
(C++), Master's students.
Phd candidate
Inria
De Novembre 2007 à Décembre 2010
PhD candidate in the Geometrica team (lead by Prof. Jean Daniel Boissonnat) under the supervision of Prof. Mariette Yvinec at INRIA Sophia Antipolis, France.
Subject: Surface Reconstruction from Multi-View Stereo
Technical Experience: C++, OpenGL, CGAL, STL, Boost, Visual Studio.
Teaching assistant
Université Nice Sophia Antipolis
De Septembre 2007 à Novembre 2008
Teaching assistant for the preparation of the French National Certificate of Informatics and Internet C2i level1, Undergraduate students.
Research intern
Inria
De Mars 2007 à Septembre 2007
Master's research in the Rêves Team (lead by Peof. George Drettrakis) under the supervision of Prof. Sylvain Lefebvre.
Subject : Synthesis of Compact Textures for real-time Terrain Rendering.
Technical Experience: C++, OpenGL, Visual Studio.
Parcours officiels
Langues
Français - Langue maternelle
Anglais - Courant
Arabe - Courant
Espagnol - Notions
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