Personal details
Abdelaaziz B.
Machine Learning Engineer
Based in: 🇲🇦 Morocco
Timezone: Casablanca (UTC+1)
Summary
Recently graduated with a Master's degree in Data Engineer and Machine learning field after 10+ experience in IT Manager and Software development. Certified in IBM Big Data Engineer and IBM Artificial Intelligence Analyst. My strong-willed is building models that translate enterprise data into business insights.
Work Experience
Machine Learning Engineer (PT)
NeuralTeks | Nov 2022 - Present
Git
Computer Vision
Docker
Google Cloud Platform
Deep Learning
Airflow
PyTorch
Fastapi
MLOps
DevOps
AWS (Amazon Web Services)
- Trained computer vision models (YOLO) to detect and count microorganisms in laboratory industries, like bacteria and yeasts
- Used Data augmentation to overcome the lack of data
- Evaluated computer vision models for accuracy and performance
- Developed API using python, PyTorch, FastAPI and Nginx
- Deployed the model on GCP Cloud and DigitalOcean using Bitbucket pipeline and Docker
- Adept in defining APIs for user interface and model deployment
- Communicate results with the key stakeholders and improve pipelines based on feedback
- Define MLOps architecture for continual training and deployment of the model using Airflow, MLFlow and DVC
- Reduce GPU training cost by 65% based on AWS spot instances
Python developer
OpenAI | Jan 2023 - Mar 2023
Python
SQL
- Responsible for validating and ranking multiple ChatGPT AI model’s responses towards user’s queries.
- Write high-quality and optimal code in Python to solve the puzzle tasks to feed the AI models.
- Provide necessary and clear explanations of the thought process/logic while writing the code in Jupyter notebooks.
- Work with problem-solving to handle complex situations with ease
- Debugging and creating necessary documentation
- Do peer review of code and provide feedback
Education
EHTP School
Master's degree・Data engineer /Machien Learning
Sep 2020 - Aug 2021
ENSIAS
Master's degree・Software Engineer
Sep 2002 - Jun 2005
Personal Projects
Data pipeline using snowflake and airflow
2022
Amazon EC2
Snowflake
Apache Airflow
AWS (Amazon Web Services)
- Transfer data logs from AWS EC2 to AWS S3 using AWS KINESIS
- Making ingestion data pipeline with Apache Airflow DAG using python and AWS Managed Airflow (MWAA)
- Loading data to Snwoflake data warehouse
- Making all role management in AWS IAM and Snowflake
Yelp Dataset Analysis with Spark on Azure Databricks:
2022
JSON
Apache Spark
Databricks
Azure Data Factory
- Created resource manager followed by storage account, the containers to upload the dataset
- Created pipeline to copy data from Azure storage to Azure data lake storage ADLS using data factory
- Created Azure Databriks workspace and cluster, access and configure ADLS from Databriks
- Converted Data file format from JSON to Parquet and then to Delta format for smooth analysis
- Upload dataset to Spark data frame format
Certifications & Awards
IBM Artificial Intelligence Analyst
IBM | Jan 2022
IBM Big Data Engineer
IBM | Nov 2021