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Schedule Interview NowMy name is Hamza E. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Amazon SageMaker, GitLab, Database Management System, Neo4j, etc.. I hold a degree in Engineer's degree, Engineer's degree. Some of the notable projects I’ve worked on include: Data Base Modeling and Creation, Develop a Gen AI powered Chatbot with Amazon Bedrock. I am based in Saint-Cloud, France. I've successfully completed 2 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
Main technologies
6 years
1 Year
3 Years
3 Years
Potentially possible
Thales Group
The customer needed to model a data model for competitions organization. I have designed carefully the data model, the organizational model and the data dictionary. In a second step, I created the database scripts for Oracle 21c. The customer was happy and said in his own words in french: 'Professionnel, ponctuel et efficace, je vous le recommande à 100%.'
In today's fast-paced world, the demand for mental health support is ever-growing. Traditional therapy methods may face limitations in accessibility, affordability, and scalability. To address these challenges, our project aims to develop a cutting-edge chatbot powered by Generative AI (Gen AI) technology tailored specifically for therapists. This chatbot will offer accessible and personalized mental health support to individuals seeking assistance, irrespective of geographical barriers or time constraints. Objectives: Develop a user-friendly chatbot interface capable of engaging with users in natural language conversation. Implement Gen AI technology to enable the chatbot to understand and generate human-like responses to a wide range of emotional and psychological queries. Incorporate machine learning algorithms to continuously improve the chatbot's ability to provide relevant and effective therapeutic responses. Ensure the chatbot complies with ethical guidelines and data privacy regulations to safeguard user confidentiality and trust. Conduct rigorous testing and validation to assess the chatbot's effectiveness in providing meaningful support and its potential to augment traditional therapy methods. Key Features: Natural Language Understanding (NLU): The chatbot will be equipped with advanced NLU capabilities to comprehend and interpret users' messages accurately. Personalization: Leveraging Gen AI, the chatbot will adapt its responses based on individual users' preferences, emotions, and previous interactions. Emotional Intelligence: The chatbot will be trained to recognize and empathize with users' emotions, providing compassionate and supportive responses. Therapeutic Techniques Integration: Incorporate evidence-based therapeutic techniques such as cognitive-behavioral therapy (CBT) and mindfulness into the chatbot's responses. 24/7 Availability: The chatbot will be accessible round-the-clock, providing immediate support whenever users need it. Data Security: Implement robust encryption protocols and data management practices to ensure user privacy and confidentiality. Implementation: Data Collection and Annotation: Gather a diverse dataset of therapy-related conversations and annotate them for training the chatbot model. Model Training: Utilize state-of-the-art Gen AI algorithms to train the chatbot model on the collected dataset, fine-tuning its responses over time. Development of Chatbot Interface: Design an intuitive and user-friendly interface for the chatbot, accessible via web or mobile platforms. Integration with Therapy Platforms: Integrate the chatbot with existing therapy platforms and applications to provide seamless access to mental health support. User Testing and Feedback: Conduct extensive user testing to gather feedback and iterate on the chatbot's design and functionality. Expected Outcomes: A fully functional Gen AI-powered chatbot capable of providing empathetic and effective mental health support to users. Increased accessibility to mental health resources, particularly for underserved populations and individuals facing barriers to traditional therapy. Enhanced user engagement and satisfaction with the chatbot's personalized and responsive interactions. Potential for the chatbot to complement and augment the services offered by human therapists, improving overall mental health outcomes. Contribution to the advancement of AI-driven mental health interventions and the broader field of digital therapeutics. Conclusion: By harnessing the power of Gen AI technology, our project seeks to revolutionize the delivery of mental health support by creating an intelligent and empathetic chatbot for therapists. Through personalized interactions and continuous learning, the chatbot aims to empower individuals on their journey towards improved mental well-being, making therapy more accessible, efficient, and effective for all.
Engineer's degree in Management of Information Systems
2014-01-01-2016-01-01
Engineer's degree in Software Engineering
2016-01-01-2018-01-01