
Suad Apple
@suadapple
AI/ML engineer building passenger-demand forecasting models at AIT Austrian Institute of Technology and a live academy platform used by 57 students.
What I'm looking for
At AIT Austrian Institute of Technology / Siemens / Wiener Linien, I developed machine-learning and deep-learning models for passenger prediction at train and wagon level. I also contributed to a federated-learning pipeline and designed a framework to compare modelling approaches and experiments.
I built the AlKauthar Academy Platform, replacing WhatsApp- and spreadsheet-based operations with a single platform used by 57 students, 6 teachers and 8 administrators. It supports classes and academy operations, and includes an interactive tajweed textbook built from the academy’s printed curriculum.
For my NYC Subway Ridership Forecasting master’s thesis project, I investigated one-hour-ahead station-level forecasting and compared local-only and neighbour-aware xLSTM models. I also included classical and neural baselines, multi-station evaluation and robustness analysis under distribution shift.
My other applied work includes a Python modal-split analysis for Wiener Linien and an NLP workflow for extracting events and structured information from email text. I hold an MSc in Artificial Intelligence from Johannes Kepler University Linz and a BSc in Business Informatics from Vienna University of Economics and Business.
Experience
Work history, roles, and key accomplishments
Founder & Product Lead
AlKauthar Academy
Jan 2026 - Present (9 months)
Operating a platform for an online Quran and tajweed academy for women. Designed the whole product including class scheduling, attendance, homework, a Quran reader, prayer times and a Qibla compass.
Founder & Director
AlKauthar Academy
Jul 2020 - Present (6 years 3 months)
Founded and led an online academy for children and women; oversee programme development and platform operations, including the academy's own web platform.
AI Intern
AIT Austrian Institute of Technology
Aug 2025 - Dec 2025 (4 months)
Developed machine learning and deep learning models for passenger prediction at train and wagon level. Contributed to a federated learning pipeline and designed an evaluation framework for consistent comparison of modelling approaches.
E-commerce Operations & Business Management
Sofiankos s.r.o.
Jan 2020 - Feb 2023 (3 years 1 month)
Managed cross-functional operations spanning marketing, finance, HR, sales, quality management and fulfilment. Improved end-to-end workflows from order creation to customer delivery.
Research & Development
Sofiankos s.r.o.
Sep 2022 - Jan 2023 (4 months)
Supported redesign of organisational structures and internal workflows, contributing to process and operations improvement.
Data Analysis Project
Wiener Linien
Apr 2022 - Jul 2022 (3 months)
Analyzed company data and developed a modal-split analysis in Python. Translated business data into structured analytical results for decision support.
Education
Degrees, certifications, and relevant coursework
Johannes Kepler University Linz
Master of Science, Artificial Intelligence
2023 -
Activities and societies: Relevant coursework: Mathematics for AI, Machine Learning, Deep Learning and Neural Networks, Deep Reinforcement Learning, NLP, Probabilistic Models.
MSc in Artificial Intelligence with a specialisation in AI and Life Sciences, including coursework in machine learning, deep learning, and NLP. Master's thesis on neighbour-gated xLSTM fusion for metro ridership forecasting.
Gesellschaft für Prozessmanagement
Process Analyst Diploma, Process Management
Process Analyst Diploma from Gesellschaft für Prozessmanagement, completed in 2023.
Vienna University of Economics and Business
Bachelor of Science, Business Informatics
2020 - 2023
Grade: 1.92
Activities and societies: Minor in Data Science and Strategy & Data; Bachelor's thesis on Sentiment Analysis of Newspaper Articles.
BSc in Business Informatics with a minor in Data Science and Strategy & Data. Graduated with GPA 1.92, top 10%.
Tech stack
Software and tools used professionally
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