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Syngenta Fellow in Artificial Intelligence and Quantum Computing
I invent, design and architect Artificial Intelligence, Computer Vision & Quantum Computing solutions at Syngenta, helping our scientists harness the power of innovative technologies across the full spectrum of modern agriculture. My work spans laboratory experimentation, field operations, drone and satellite imagery analysis, and extracting insights from decades of research documentation. The goal is simple yet profound: accelerate scientific discovery, strengthen our global food systems, and enable better breeding, better seeds, and more resilient agriculture for the future. I enjoy embracing new challenges and strongly believe in creativity, efficiency, and quality-driven solutions. With 30 years of professional experience, I’ve had the privilege of working across diverse domains — from military systems to commercial platforms. Throughout my career, I have successfully developed, integrated, and delivered hardware–software solutions in telecommunications, aerospace, media production, healthcare, and other cutting-edge technology fields. Professional Summary 0 Global experience leading multi-disciplinary teams and delivering complex technology solutions across industries. 0 Strong communicator and collaborator, able to simplify complexity and align diverse stakeholders. 0 Experienced in end-to-end project delivery: requirements discovery, solution design, architecture, development leadership, and deployment. 0 Skilled in cloud platforms (AWS, Azure, GCP), scalable systems, micro-services, and modern DevOps practices. 0 Hands-on expertise in AI/ML, Computer Vision, data pipelines, real-time processing and intelligent systems for scientific and operational use cases. 0 Background in IoT, smart devices, connectivity systems, and embedded/edge computing. 0 Solid foundation in signal processing, audio/video systems, and digital communication principles. 0 Strong g
Massachusetts Institute of Technology
Professional Certificate Program in Machine Learning & Artificial Intelligence, ML/CV/AI
March 1, 2021 – September 1, 2022
TBS Education
Ecole Supérieure de Commerce de Toulouse, International Project Management, Strategy, Marketing & Sales
January 1, 2009 – January 1, 2010
Télécom SudParis
MSc: Télécom & Management Sud Paris, Satellite Communications & Networks
January 1, 2001 – January 1, 2003
National University of Sciences and Technology (NUST)
BE: National University of Science and Technology, Aeronautical Engineering (Avionics)
January 1, 1993 – January 1, 1996
Syngenta
Syngenta Fellow
January 1, 2026 – Present
Bracknell, England, United Kingdom
Syngenta
Lead Architect: R&D lead ML/AI/CV Generative AI
April 1, 2021 – January 1, 2026
Bracknell, England, United Kingdom
Sony Professional Solutions Europe
Senior Solutions Architect
March 1, 2019 – April 1, 2021
Basingstoke
McLaren Applied Technologies
Technical Project Manager
May 1, 2017 – July 1, 2019
Woking, United Kingdom
Qualcomm
Technical Project Manager
April 1, 2013 – May 1, 2017
Farnborough Green, Hampshire, United Kingdom
Airbus
Avionics Business Models Project Manager
September 1, 2009 – October 1, 2011
Toulouse, FRANCE
Motorola
Senior Embedded SW Development & Product Support
February 1, 2003 – April 1, 2013
Toulouse, FRANCE
Pakistan Aeronautical Complex Kamra
Lead R&D Cell: Systems Architect, RADAR, Avionics & C4ISR Systems
June 1, 1996 – November 1, 2001
Kamra (http://www.pac.org.pk/)
Mathematical description to My idea of origin and composition of Space and Time
February 1, 2019 – Present
For my first love Mathematics and interest in Astrophysics, I’ll be spending some time to give mathematical description to The idea of origin and composition of Space and Time
Designing and Building AI Products and Services
Massachusetts Institute of Technology
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards highly technical, R&D-intensive environments. Their personal project in Astrophysics and Mathematics, coupled with advanced degrees from MIT and Télécom SudParis, indicates a deep intellectual curiosity and a drive for continuous learning. However, the target role of 'Data Analyst' appears to be a significant pivot from their senior architect and project management roles, which are heavily focused on system design, embedded systems, and AI/ML/Quantum Computing. While they have an MIT certificate in ML/AI, their professional experience is more aligned with leading technical projects and architecture rather than hands-on data analysis. This creates a potential mismatch with the specific day-to-day responsibilities of a typical Data Analyst role, which often requires specific statistical, programming (e.g., Python/R for data manipulation), and visualization skills not explicitly detailed in their experience for a data analyst context.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project management, and strategic thinking skills through their extensive career progression. Their ability to lead multi-site teams and manage complex technical integrations suggests strong operational fit for demanding roles. The descriptions highlight a focus on clarity and making complex tasks feel effortless, indicating a pragmatic approach to problem-solving.