Associate @ 2PointZero | Building AI for Private Equity Value Creation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Georgia Institute of Technology
Master of Science - MS, Computer Science
January 1, 2024 – January 1, 2026
University of Toronto - University of Trinity College
Honours Bachelor of Science - H.BSc, Financial Economics & Statistics
January 1, 2017 – January 1, 2021
The International School of Choueifat Dubai
High School Diploma, Physical Sciences
January 1, 2004 – January 1, 2017
2PointZero
Associate, AI
December 1, 2025 – Present
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Dataloop AI
AI Engineer
September 1, 2024 – December 1, 2025
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Bell
AI Engineer
February 1, 2023 – September 1, 2024
Montreal, Quebec, Canada
Innovation, Science and Economic Development Canada
Data Scientist
March 1, 2022 – February 1, 2023
Ottawa, Ontario, Canada
Canada Revenue Agency - Agence du revenu du Canada
Collections Officer
October 1, 2021 – March 1, 2022
Toronto, Ontario, Canada
Exam P
Society of Actuaries
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has experience across different sectors, including government, telecommunications, and AI startups, indicating adaptability to various organizational cultures. The progression from Data Scientist to AI Engineer roles aligns well with a growth mindset. The current pursuit of a Master's degree while working shows a commitment to continuous learning. However, the project descriptions are brief, limiting the ability to fully assess collaboration styles or specific contributions to team culture. The target role of ML Engineer aligns well with the candidate's recent experience and educational trajectory.
Soft Skills & Operational Fit
The candidate's experience at various organizations, including government agencies and a startup acquired by a major tech company, suggests adaptability and the ability to work in diverse operational environments. The description of automating a multi-source analysis flow at Canada Revenue Agency indicates initiative and a results-oriented mindset. However, without specific psychometric test results or interview data, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.