Hassan Soliman Email & Phone Number

Berlin, Germany

• Led two projects in the Educational Technology lab, managing technical implementation and supervising two students.• Developed a chatbot for a graduate-level course that answered student queries with 87% accuracy. One of the two papers published on the project was nominated for the Best Demo Award at ECTEL 2024.• Applied advanced Retrieval-Augmented Generation (RAG) techniques, including Hybrid Ensemble Search and Reranking Mechanism, to enhance chatbot interactions and improve the retrieval of course materials.• Supported mentoring-style conversations by leveraging flexible agentic workflows with LangGraph, utilizing multiple small open-source models hosted on Azure, and using databases for user usage tracking and monitoring.• Implemented a sub-module for adaptive dialogue systems, customizing responses based on user emotional state and demographics, and benchmarking performance using OpenAI LLMs and open-source models.

Renningen, Baden-Württemberg, Germany

• Contributed to the NLP & Semantic Reasoning group, applying findings from my master’s thesis on Neural Entity Linking to a high-impact industrial project using real data at Bosch.• Refactored, tested, and documented production-level code for machine learning models, ensuring scalability and efficiency for real-world deployment, leveraging the in-house GPU cluster for model fine-tuning.• Trained and evaluated machine learning models on a large-scale domain-specific dataset, achieving 77% end-to-end recall for top-3 entity predictions, outperforming existing models.

Renningen, Baden-Württemberg, Germany

• Joined the NLP & Semantic Reasoning group and worked on a unified system for linking named entities to general-domain (Wikipedia) and domain-specific knowledge bases (KBs), using context-aware embeddings (BERT) to learn a joint vector space. A pre-print of the thesis is available on arXiv. https://arxiv.org/abs/2210.15616.• Optimized a state-of-the-art model for cross-domain applications, supporting domain extension and identifying optimal data sources for fine-tuning, and improved GPU memory utilization for efficient embedding calculations.• Achieved a 9% increase in Average Precision for the top-1 entity and a 20% gain in Mean Average Precision (MAP) for top-10 entity linking across four domain-specific KBs, resulting in a workshop publication at ACL 2022.

Saarbrücken, Saarland, Germany

• Developed a model prototype within the Database & Information Systems group to identify diverse peer groups for entities, contributing to advanced set expansion techniques.• Implemented a baseline model for entity set expansion, leveraging Wikipedia lists as a knowledge source to enhance the model’s accuracy and comprehensiveness in the expanded sets.• Optimized the algorithm’s performance by achieving a 3x faster runtime using efficient sparse matrix multiplication techniques, significantly improving computational efficiency.

Luxembourg

• Maintained a web-based simulation tool for the Fulfillment Acceleration team using the AWS cloud platform, working as a full-stack software engineer.• Enhanced delivery speed simulations for prime customers, contributing to a successful report on fulfillment operations and improving delivery efficiency.• Collaborated as a system administrator in an Agile environment, managing server infrastructure and providing technical support for team tools.

Saarbrücken Area, Germany

• Focused on a (QA) model, which formalizes answer planning to support fair dialogues under mixed motives. Model was already built & deployed.• Contributed to the evaluation of the QA model, and implemented a model to detect fair dialogues using ensemble methods of decision trees.• Helped to show quantitatively that 69.2% of the dialogues by the QA model are perceived as fair, and reported the results in a draft paper.

Alexandria Governorate, Egypt

• Studied the topic of Reliable Fog Cloud Computing using Smart Cars as Edge Nodes, and focused on the Machine Learning part involved.• Implemented a Matlab simulation for the cars using Nagel-Schreckenberg model, and predicted their next movements by Kalman Filters.

Alexandria Governorate, Egypt

• Bachelor's Graduation Project Thesis Title:- Car License Plate Arabic Numbers & Letters Recognition.• Implemented an application which extracts license information from car images in Egypt.• Collected a dataset for various kinds of car plates found in Egypt in various conditions.• Utilized pre-trained CNN models for fine-tuning for Object Detection, Localization, Semantic Segmentation, and OCR for the letters & numbers.

Cairo Governorate, Egypt

• Worked on a web platform to manage employees in the company, where a manager can search for employees based on various metrics.• Deployed a mechanism to allow managers to assign tasks to the employees and monitor their progress using .NET framework.• Received the second-best team project among all participant teams in the academy.

Borg-El-Arab, Alexandria Egypt

• Worked on how to achieve work-life balance using human-computer interaction. Target user was the gardener.• Interviews are made with them to collect data about their life, then this data is analyzed to gain some insights about their needs, and put hands on the idea to be worked on later.• In Implementation phase, a simple prototype is made of a voice sender and receiver within WIFI range to describe the idea.• There was an open day on which we made a small presentation and a poster in front of the dean of Alexandria university along with professors & other faculty stuff members.

Alexandria Governorate, Egypt

• Responsible for building and maintaining websites and web applications, by designing, coding and modifying websites, from layout to function and according to client's specifications.• My main project was a News Website, I nearly started the project from a basic admin panel & began to build its different modules (e.g Comment/Reply system, News Categories, Newsletter System, Readers' Articles & so on).

Alexandria Governorate, Egypt

• First internship to receive, it was a back-end development intern, started by revising some design patterns mainly used in their code. Also, mastered Laravel back-end framework which is the main platform used in their projects.

Master Of Science (Msc), Computer Science, 1.4 / 1.0 (Excellent)

Track: AI and Data Science

Bachelor Of Science - Bs, Computer & Communication Engineering, 3.96 / 4.00 (Excellent)

Activities and Societies: Technical & Media Member at Microsoft Student Partner Tech Club - Alexandria University Final Batch Ranking: 1st.

High School, 99.3%