Education
University of Luxembourg Master of Finance and Economics -Digital Transformation in Finance, FinTech Sep 2024 Virtual University of Pakistan Master of Computer Science , Computer Science Nov 2019 - Oct 2021 Grade: Pass
- Cumulative GPA of 3.37/4 - Final Year Project: AI based Spam Emails Classification
Skills:
Problem Solving 6 experiences across Digital Product School by UnternehmerTUM and 4 other companies Organization Skills 3 experiences across Digital Product School by UnternehmerTUM and 2 other companies
Work Experience:
Digital Product School by UnternehmerTUM Full-time · 1 yr 4 mos Remote LinkedIn helped me get this job Artificial Intelligence Mentor Jan 2022 to Dec 2022 · 1 yr GitHub - DigitalProductschool/AI-Makerspace: AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies. Artificial Intelligence Engineer Sep 2021 to Dec 2021 · 4 mos Munich, Bavaria, Germany AI-Engineer-Xp-Letter.pdf Lead Machine Learning Engineer FlaskData · Full-time Apr 2021 to May 2021 · 2 mos Israel Flaskdata.pdf Guided Project Instructor Coursera · Contract Jan 2021 to May 2021 · 5 mos United States Taught the following tools in my 5 online project based courses on Kubernetes, Prometheus, Grafana, Google Kubernetes Engine (Autopilot). Machine Learning Engineer iRAP · Full-time Dec 2020 to Jan 2021 · 2 mos Australia iRAP.pdf AI and Data Science Teacher PIAIC · Contract Apr 2019 to Feb 2020 · 11 mos Karachi, Pakistan • Taught Python, Data Preprocessing, Machine Learning to more than 1200+ AI students in the largest AI educational initiative of Pakistan.
Candidate Intelligence Report
AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.
Career Continuity & Risk Assessment
There is a minor gap between Feb 2020 and Dec 2020, but the candidate has since maintained a continuous, overlapping focus on AI/ML roles and related activities, mitigating long-term concerns.
Experience spans AI/ML engineering, teaching, and program leadership across multiple organizations and geographies. All activities remain within tech/AI domains, but shifts into education/training roles introduce some variance.
Several early-career roles lasted only a few months, which could raise flags for some US employers. However, there is a longer, ongoing tenure with UnternehmerTUM in recent years, suggesting growing stability.
Educational background (University of Luxembourg; CS & Business) aligns well with ML/AI product and leadership roles; additional certifications and teaching experience further reinforce alignment.
Career Growth Curve
Best-Fit Roles (Top 5)
Senior Machine Learning Engineer94% fit
Deep ML engineering track, cross-functional mentoring, and proven remote/global collaboration; strong fit for leading end-to-end ML initiatives.
AI Product Manager90% fit
Bridges ML capabilities with product outcomes, leveraging experience from Digital Product School and teaching roles to shape AI features and roadmap.
ML Solutions Architect87% fit
Combines ML engineering expertise with cloud/IT operations and solution design; suitable for building end-to-end AI systems.
Technical Product Manager – AI Enablement82% fit
Strong cross-functional and enablement mindset; experienced in teaching and mentoring teams to adopt AI capabilities.
AI Education Lead / Curriculum Architect78% fit
Capitalizes on extensive teaching background and program leadership to design AI curricula and enable large-scale training.
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