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Schedule Interview NowMy name is Oussama G. and I have over 2 years years of experience in the tech industry. I specialize in the following technologies: Machine Learning, PyTorch, TensorFlow, Python, Natural Language Processing, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: ESG Smarter Platform, Blockchain-based Verification Platform for Medicines and Vaccines, Automated Scraping Facebook, Video Conferencing Web Application. I am based in Tunis, Tunisia. I've successfully completed 4 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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ESG Smarter is an innovative AI-powered ESG analysis platform designed to provide investors, asset managers, and corporates with automated sentiment analysis and ESG scoring capabilities. The platform leverages advanced technologies, including Natural Language Processing (NLP) and Machine Learning, to evaluate companies' environmental, social, and governance practices, enabling users to make informed investment decisions and identify sustainable opportunities while detecting "ESG washing" attempts. My tasks include: - Develop a customized OCR script to automate scraping data from PDF - Train and evaluate Topic Model that accurately classify text based on SASB taxonomy - Train and evaluate Sentiment Analysis Model to classify texts as positive, negative or neutral - Train and test Paraphrase Detection Model - Develop a scoring system based on sentiment analysis score - Develop a NLP pipeline that regroups all the models mentioned above using Docker and Kubernetes
In this project, I developed a blockchain-based platform that provides a robust solution for verifying the authenticity of medicines and vaccines. Leveraging the power of the Ethereum blockchain and smart contracts, the platform ensures a transparent and secure verification process. The platform enables users, including consumers, healthcare professionals, and regulatory authorities, to easily verify the legitimacy of medications and vaccines. It addresses the rising concern of counterfeit or substandard drugs in the market, offering a reliable means of ensuring the authenticity of pharmaceutical products.
In this project, I developed an automated scraping script using Python, Selenium, and BeautifulSoup to extract posts from Facebook based on a given topic. As a user, you can input a topic name, and the script will navigate through Facebook's web interface to collect relevant posts related to that topic.
In this project, I developed a web-based video conferencing application similar to Zoom. The application leverages Angular for the frontend, Node.js with Express.js for the backend, MongoDB for data storage, and Socket.io for real-time communication.
Bachelor of Engineering (BEng) in Software Engineering
2016-01-01-2022-01-01