Mohamed Cherif

Responsibilities:

* Designed and implemented enterprise AI systems and agentic workflows.
* Architected scalable AI infrastructure and deployment pipelines.
* Integrated multiple AI models, APIs, databases, and cloud services.
* Developed autonomous AI agents for research, automation, and business operations.
* Implemented AI governance, monitoring, security, and cost optimization strategies.
* Led AI transformation initiatives and provided technical leadership.

Technologies:
LLMs, Multi-Agent Systems, LangGraph, Python, Cloud Platforms, Docker, Kubernetes, Vector Databases, MLOps

Responsibilities:

* Built and maintained data pipelines for large-scale data processing.
* Developed machine learning models for predictive analytics.
* Performed data cleaning, feature engineering, and model evaluation.
* Automated data workflows and reporting processes.
* Supported business decision-making through data-driven insights.

Technologies:
Python, Pandas, NumPy, Scikit-Learn, SQL, ETL, Apache Airflow

Responsibilities:

* Developed AI-powered applications using Large Language Models (LLMs).
* Built Retrieval-Augmented Generation (RAG) systems.
* Integrated AI APIs into business workflows and software products.
* Designed prompt engineering frameworks and evaluation pipelines.
* Developed intelligent automation solutions using AI agents.

Technologies:
OpenAI API, LangChain, Vector Databases, Python, FastAPI, PostgreSQL

Responsibilities:

* Designed and deployed machine learning solutions into production environments.
* Developed predictive models and optimization algorithms.
* Managed end-to-end ML lifecycle including training, validation, and monitoring.
* Implemented MLOps practices for model deployment and maintenance.
* Collaborated with data scientists and software engineers to build AI-powered applications.

Technologies:
Python, TensorFlow, PyTorch, Docker, Kubernetes, AWS, MLflow

Responsibilities

* Designed software architecture.
* Built distributed backend systems.
* Led technical implementation efforts.
* Automated infrastructure tasks.

Technologies

* Python
* Java
* Docker
* Linux
* Distributed Systems

Responsibilities

* Developed scalable backend services.
* Designed REST APIs.
* Implemented authentication and authorization systems.
* Improved application performance and reliability.

Technologies

* Java
* Spring Framework
* SQL Server
* REST APIs
* Linux