Sidi Bouzid, Tunisia
As a Software Engineer, I specialize in building and maintaining robust and scalable software systems using a variety of tools and technologies. I have a strong background in both software engineering and data science, with a focus on applying DevOps practices and techniques to enhance software development workflows.
Throughout my career, I have worked on a range of projects, from designing and implementing CI/CD pipelines to building and deploying microservices using Docker and Kubernetes. I also have experience in natural language processing (NLP) and machine learning (ML) operations, including developing ML models and deploying them at scale using tools such as Python, TensorFlow, and AWS SageMaker.
My passion for problem-solving and innovation drives me to continuously learn and explore emerging technologies in the field. I am always eager to collaborate with talented teams to design and implement cutting-edge solutions that can make a meaningful impact on businesses and society.
Arabic, English, French
Flask, Pytorch, Pandas, NumPy, Pymongo...
ESG Smarter
Fev. 2022 - Present
Data Scientist
• Automated ESG data extraction from PDF sustainability reports using OCR.
• Applied BERT and LSTM for topic modeling, achieving an accuracy rate of 96%
• Optimized an internal Named Entity Recognition approach, elevating accuracy from 63% to an exceptional 89%
• Enhanced a paraphrase detection algorithm, boosting accuracy to an exceptional 97.13% and reducing the processing time for 10,000 sentences from an initial 4 hours to an impressive 1 minute
• Collaborated seamlessly with cross-functional teams to integrate a comprehensive NLP pipeline, encompassing
Named Entity Recognition, Topic Modeling, Sentiment Analysis, Paraphrase Detection, and an advanced Scoring System
• Transformed the existing monolithic pipeline into a streamlined microservices architecture by implementing RESTful APIs using FastAPI and Docker
• Implemented CI/CD for streamlined microservices architecture
• Leveraged Apache Airflow to meticulously orchestrate each step within the pipeline
• Migration to Streamlined Microservices Architecture with AWS EC2 Deployment
HackUp
Data Science Intern
Jun. 2021 - Aug. 2021
• Implemented LinkedIn login and file upload features using NodeJS
• Developed OAuth-based authentication for GitHub and LinkedIn accounts
• Built a machine learning model using NLP for developer ranking and a recommendation system for matching
developers and job descriptions based on skills
• Designed a FastAPI-based API for platform functionality
Fiverr
Freelance Developer
Fev. 2021 - Fev. 2022
• Developed a recommendation system for Uptone (Social Media)
• Created a personalized recommendation algorithm for suggesting audio content based on user preferences and
engagement patterns.
• Achieved a precision of 0.84, indicating 84.3% relevance of recommended content to user preferences, using a test
dataset of 1,000 users.
• Developed a customer support solution for an e-commerce website
• Achieved high accuracy in customer inquiry understanding through NER and sentiment analysis
• Implemented SVM classifier for query classification and routing, reducing support tickets by 40% and achieving
an average response time under 30 seconds.
• Increased sales conversions by 20% through personalized product recommendations based on customer preferences
Amazon Web Services (AWS), AngularJS, Apache Airflow, Data Science, Django, Docker, FastAPI, MongoDB, Pandas, PyTorch, SciPy, Web Development, Web Scraping