Sirine K.
AI Engineer
Experience
Apr 2024 - Sep 2024
6 monthsPassau, Germany
Natural Language Processing Intern
Passau University
- Designed and validated a two-stage dense retrieval framework, significantly improving top-500 document retrieval performance for user queries.
- Conducted systematic experiments comparing embedding aggregation techniques, achieving 20% improvement in MAP through Transformer-based methods.
- Optimized model selection by evaluating ELECTRA-base vs BERT-base, resulting in 5% boost in ranking precision.
- Performed hypothesis testing on text segmentation strategies, increasing nDCG@20 by 8% through data-driven experimentation.
- Built automated evaluation pipelines for measuring model performance across multiple metrics.
Apr 2023 - Present
2 years 8 monthsBad Birnbach, Germany
Machine Learning Engineer
FotoFinder
- Developed and deployed end-to-end ML solutions from prototyping to production, improving mole classification accuracy by 5% through integrated segmentation algorithms.
- Built automated pipelines for image quality calibration, increasing mole diagnosis accuracy by 2%, reducing inter-session variability, and ensuring consistent model performance across diverse environments.
- Implemented rule-based detection algorithms achieving 99% precision in differentiating angiomas from moles, directly enhancing diagnostic accuracy.
- Collaborated with cross-functional teams, including medical specialists and engineers, to define requirements and validate solutions through clinical testing.
- Deployed models using AWS infrastructure, managing the full ML lifecycle including monitoring, testing, and performance optimization.
Apr 2022 - Mar 2023
1 yearKarlsruhe, Germany
Machine Learning Engineer
Askui
- Developed and deployed a high-accuracy Optical Character Recognition (OCR) model for detecting and recognizing text in user interface to automate tasks.
- Improved model performance metrics by 15% (WAR) and reduced CER by 10% through systematic experimentation and optimization.
- Implemented CI/CD pipelines using ClearML for model training, versioning, and deployment automation.
May 2021 - Sep 2021
5 monthsResearch Intern
HTWK Leipzig University
- Designed scalable IoT architecture for real-time sensor data processing and predictive maintenance using machine learning.
Oct 2020 - Feb 2021
5 monthsTunis, Tunisia
Computer Vision Intern
Intelium
- Developed real-time detection system using YOLOv3 CNN achieving 95% accuracy for billboard geotagging.
- Integrated ML model with geospatial databases (PostgreSQL/PostGIS) for automated location-based analytics.
Summary
AI Engineer with hands-on experience building and deploying ML solutions end-to-end in product-focused technology companies. Proven track record of developing automated pipelines, conducting experiments to validate model impact, and collaborating with cross-functional teams.
Proficient in Python, SQL, and classical ML modeling with expertise in turning prototypes into production systems.
Passionate about leveraging AI to solve real-world problems and drive measurable business impact.
Languages
Arabic
NativeFrench
NativeEnglish
AdvancedGerman
IntermediateEducation
Oct 2021 - Present
Passau University
Master’s Degree in Computer Science · Computer Science · Passau, Germany
Sep 2018 - Sep 2021
Higher School of Communication of Tunis - SUP’COM
Bachelor of Engineering in Telecommunications · Telecommunications · Tunis, Tunisia
Sep 2018 - Sep 2021
Higher School of Communication of Tunis - SUP’COM
Master’s degree in Telecommunications, Minor in Artificial Intelligence and Machine Learning · Telecommunications · Tunis, Tunisia
Certifications & licenses
Cisco Certified Network Associate CCNA 1
Cisco
Cisco Certified Network Associate CCNA 2
Cisco
Improving Deep Neural Networks
Coursera
Neural Networks And Deep Learning
Coursera
Structuring Machine Learning Projects
Coursera
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