Open to opportunities

Taher Boudriga

@taherboudriga

Message

I build agentic AI systems, pretrained language models, and cloud automation for DevOps.

Tunisia

Message

What I'm looking for

I'm looking to build practical agentic AI, language-model, MLOps, and cloud automation systems, especially for DevOps and infrastructure use cases.

I'm building cloud architecture recommendation agents at PCP Consulting using LangGraph deep agents, Azure AI Foundry, Azure OpenAI, MCP, and Terraform.

I previously built a 360M-parameter DevOps-focused language model from scratch, from corpus construction through distributed pretraining on 8×A100 GPUs in Google Vertex AI. I also fine-tuned Qwen 2.5 7B with QLoRA for DevOps instruction-following and evaluated models on DevOps-specific downstream tasks.

At ELYADATA, I built a hybrid multi-agent security auditor for Jenkins declarative pipelines. It combined rule-based linting and LLM-powered reasoning to identify hardcoded secrets, command injection, and insecure configurations, then generated remediation-focused audit reports in CI/CD pull requests.

I'm an engineering graduate from SUP'COM focused on practical AI systems, cloud infrastructure automation, and production-ready DevOps tooling. I also led DSA workshops for more than 50 students as Training Manager for ACM Club SUP'COM.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

PCP Consulting

Jul 2026 - Present (1 month)

Developing AI agents that read and analyse cloud architectures and generate actionable recommendations via cloud MCP servers, using LangGraph deep agents orchestrated on Azure AI Foundry with Azure OpenAI. Provisioned Azure OpenAI resources using Infrastructure as Code (Terraform) for reproducible, version-controlled deployments.

Python LangGraph MCP LiteLLM Azure AI Foundry Azure OpenAI Terraform