Senior Consultant in AI & ML | Leading AI Teams & Technology | Driving Scalable Innovation Across Industries
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I'm a Singapore PR and hands-on AI leader focused on turning innovation into business value. With over a decade of leadership across finance, fintech, and automotive, I help organizations and technologists build and deploy impactful AI/ML solutions. Always keen to connect and explore advancements in AI. Reach me at eric.juliani@gmail.com.
ISAE-SUPAERO
PhD, Applied Mathematics (Not Completed, Job opportunity in Asia)
January 1, 2004 – January 1, 2007
ISAE-SUPAERO
Master of Science (M.Sc.), Image Processing
January 1, 2003 – January 1, 2004
ISAE-SUPAERO
Master, Applied Mathematics
January 1, 2003 – January 1, 2004
École Polytechnique
Master of Science (M.Sc.), Applied Mathematics, Signal and Image Processing
January 1, 2000 – January 1, 2003
Amazon Web Services (AWS)
Senior AI / ML Delivery Consultant, Tech & Industry, APJ ProServe
November 1, 2025 – Present
Singapore · On-site
Volvo Cars
Head of AI & Data Analytics - Tech Hub Singapore
September 1, 2024 – September 1, 2025
Singapore · On-site
AI Piping
Chief AI Officer and Co-founder
January 1, 2024 – July 1, 2024
Singapore
Continental
Head of Artificial Intelligence, Singapore
November 1, 2021 – July 1, 2023
Singapore
EasyMile
Head of Artificial Intelligence
January 1, 2016 – November 1, 2021
Singapore
Raise Partner
Quantitative Analyst (Risk Strategies / Optimization) - Consultant
October 1, 2013 – April 1, 2016
Raise Partner
Quantitative Analyst - Consultant
May 1, 2013 – October 1, 2013
Natixis Corporate Solutions (Asia)
Derivatives Stucturer
June 1, 2007 – November 1, 2012
Singapore
ISAE
Instructor in Applied Mathematics
September 1, 2004 – May 1, 2007
Toulouse Area, France
ONERA
Internship
April 1, 2004 – August 1, 2004
ONERA
Internship
April 1, 2003 – August 1, 2003
Toulouse Area, France
Completude
Teacher in Mathematics and Physics
November 1, 2000 – March 1, 2001
Paris Area, France
Image Stabilization Project
August 1, 2003 – April 1, 2004
Development and implementation of a Stabilization Algorithm for Unmanned Air Vehicle acquisition
Traffic Flow Simulation Project
April 1, 2003 – August 1, 2003
Development and Implementation of a new "Particular Method" for traffic flow simulation
Nonlinear Image Processing Project
September 1, 2002 – January 1, 2003
Development of a new filtering algorithm combining Haar decomposition and Rudin-Osher method to remove additive noise from images
Advanced RAG with Vector Databases and Retrievers
IBM
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Moralities of Everyday Life
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
IBM RAG and Agentic AI Specialization
IBM
June 24, 2026 – Present
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI, Coursera, Stanford CPD, UVM
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Introduction to Psychology
Coursera
June 24, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Coursera
June 24, 2026 – Present
FRM
Global Association of Risk Professionals (GARP)
June 24, 2026 – Present
edX Honor Code Certificate for Artificial Intelligence
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (automotive, finance, tech consulting) and roles (leadership, quantitative analysis, instructor) suggests adaptability. Their involvement in co-founding a startup and securing public grants indicates an entrepreneurial spirit and initiative. The breadth of their educational background and certifications also points to a continuous learning mindset, which aligns well with dynamic tech cultures. However, the target role is ML Engineer, while the candidate's recent experience is heavily skewed towards leadership and strategy, which might indicate a potential mismatch in day-to-day responsibilities and hands-on coding expectations for a pure engineering role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and team-building capabilities, evidenced by their roles as Head of AI and Chief AI Officer. Their experience in fostering collaborations and managing project lifecycles suggests excellent operational fit for driving ML initiatives. The descriptions of launching services and products indicate a results-oriented approach.