Abdul Hamid Merii Email & Phone Number

London Area, United Kingdom

Deployed ClearML MLOps Platform on AWS Fargate: Deployed/Configured ClearML Server, Fileserver, API Server, Elastic Search, Mongo DB, and Redis on AWS Fargate, utilizing Terraform for infrastructure as code. Configured security groups, IAM roles, VPCs, and proxies, making sure to comply with best security practices. Deploying ClearML streamlined the workflow for bioinformaticians, data scientists, statistical geneticists, and ML practitioners, enhancing collaboration, accelerating innovation, and ensuring reproducibility across diverse research projects.Automated Deployment Tests for ClearML Deployment: Implemented automated tests across development, staging, and production. This streamlined the deployment process for new versions and facilitated the rapid introduction of new features.Automated Data Pipelines: Established automated data pipelines bridging wet lab experiments to in silico analysis integrated seamlessly with our MLOps Platform.Feature Engineering Library Development: Created and integrated a feature engineering library, enhancing our siRNA activity prediction models. Achievements include reducing pipeline runtime from hours to under 15 minutes and incorporating comprehensive testing (unit, integration, smoke).PhD Student Supervision: Overseeing a PhD student's research on RNA encoding for enhanced ML predictions, in collaboration with the Rosalind Franklin Institute.ClearML Autoscaler Development: Assisted the DevOps team in developing, configuring, and testing the ClearML autoscaler to enable on-demand, configurable computing resources, that dynamically adapts to loads from multiple users.ML Best Practices Leadership: Guide bioinformaticians, statistical geneticists, and data scientists in their ML projects, ensuring adherence to best practices and providing strategic advice for optimal project progression.

United Kingdom

Data Pipeline Refinement: Directed the consolidation of dispersed historical company data from Excel to DVC, integrating it with key external databases such as NCBI and Ensembl. Focused on rigorous data cleaning, formatting, and structuring in third normal form to enhance the quality and reliability of the dataset for bioinformatics analysis, and ML model training.Integrated ML with Bioinformatics: Led the collaboration with bioinformaticians to establish data and ML pipelines for predicting siRNA activities, dramatically improving gene silencing research efficiency.Implemented SDLC and CI/CD: Introduced a comprehensive SDLC and CI/CD practices using GitHub Actions, transitioning the team to structured, high-quality software development.Data Management and Versioning: Deployed Data Version Control (DVC) for efficient dataset sharing among bioinformaticians, enhancing reproducibility and traceability in research workflows.Standardized Development Practices: Leveraged Cookiecutter to create standardized templates for diverse Python projects, ensuring a consistent and efficient setup process. Developed specialized Terraform templates to facilitate the seamless deployment of projects across various development environments.Standardized ML Project Evaluation: Developed a Python package tailored for evaluation metrics and interactive visualizations using Plotly, designed for intuitive use by bioinformaticians. This initiative standardized the visualization techniques and metric evaluations across diverse ML projects, enhancing consistency and insights into model performance.

Lebanon

• Curate Content for workshops• Lead and Guide instructors with AI workshops• Present AI and ML Workshops

Lebanon

• Worked on Satellite Imagery Mutli-Temporal Change Detection and Segmentation• Labeled, Trained, and Deployed Building Construction Segmentation POC• Created Data Pipeline for Satellite Imagery Segmentation for Road Network Classification and Building Footprint Segmentation using Solaris Deep Learning framework and PyTorch• Trained an Arabic OCR classifier to be used for digital archiving using Tesseract

Beirut District, Lebanon

• Engineered an end-to-end pipeline that extracts and cleans data from hundreds of irregular excel files using Openpyxl• Created an automated framework that migrates data from pandas dataframes to Postgres DB using SQL Alchemy• Created Visualizations using Apache Superset• Represented Company for United Nations Sustainable Development Goals (SDG) Innovators Program

Lebanon

• Conducted research & created workshops/presentations that brought the team up to speed with the latest Data Analysis Trends and Tools• Analysed and Presented data for Company’s flagship Product• Conducted research on opensource visualization libraries to integrate into company’s flagship product

Master Of Science - Ms, Robotics & Mechatronics

Education record