Paul Forti
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 ML Researcher and Engineer
Innovative and resourceful professional with substantial experience employing a proactive and inventive mindset to tackle complex challenges in machine learning and artificial intelligence. Demonstrated mastery in machine learning algorithms, deep learning frameworks, and statistical modeling techniques, ensuring robust and efficient solutions to diverse data-driven problems. Excel in environments that afford autonomy and independence by taking ownership of projects and driving them to successful completion with minimal oversight. Skilled in crafting high-quality software within agile frameworks, ensuring adaptability to evolving project requirements while maintaining focus on project goals and adhering to rigorous code standards.
CY Cergy Paris Université
Master recherche en Informatique : Systèmes Intelligents et Communicants, Informatique
January 1, 2013 – January 1, 2015
CY Cergy Paris Université
Licence, Informatique
January 1, 2010 – January 1, 2013
Waterlily
Senior Machine Learning Engineer (contract)
January 1, 2023 – January 1, 2023
Chicago, Illinois, United States · Remote
Discover Financial Services
Senior Machine Learning and Software Engineer
April 1, 2017 – Present
Riverwoods, IL
Illinois Institute of Technology
Graduate Teaching and Research Assistant
January 1, 2016 – April 1, 2017
Illinois Institute of Technology
PhD Candidate
August 1, 2015 – December 1, 2021
Ineo Systrans
Apprentice Embedded Software Engineer
September 1, 2013 – September 1, 2014
Acheres, France
Collegiate Starleague
Rails backend developer
August 1, 2012 – September 1, 2013
Remote
Université de Cergy-Pontoise
Computer Engineering student
January 1, 2011 – July 1, 2015
Cergy-Pontoise
Cultural Fit Analysis
The candidate's diverse project experience, ranging from medical imaging to financial services and eSports, indicates adaptability and a broad interest in applying ML/AI across different domains. The role as a Senior Machine Learning Engineer aligns well with the target role of ML Engineer. The experience in both startup (Waterlily) and large enterprise (Discover Financial Services) environments suggests flexibility in working within different organizational cultures. The PhD candidacy and research assistant roles also show a commitment to continuous learning and innovation.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in projects, advising stakeholders, and integrating software engineering practices, suggesting strong operational fit and communication skills. The ability to lead end-to-end projects indicates strong problem-solving and project management capabilities. However, without specific psychometric or communication test results, a detailed assessment of soft skills like stress handling or team collaboration is limited.