Azure AI Foundry
Prototyping to production with model management, evaluation, and safety controls.
LLMOps • Evaluation • GovernanceAI Engineer • Azure Specialist • Microsoft Ecosystem
Hi, I’m Emad Abedi, an AI Engineer building reliable AI systems across Azure and Microsoft platforms.
I design and deliver end-to-end solutions with Azure AI Foundry, Azure AI Search, and the Power Platform— from data ingestion and RAG to copilots and enterprise automation.
RAG
Search + grounding
Copilot
Studio + extensions
Automation
Power Platform
Current focus
Production-grade copilots, secure RAG pipelines, and AI search relevance tuning.
EA
Emad Abedi
Azure • Microsoft Stack
Tooling
Azure AI Foundry • Azure AI Search • Azure OpenAI • Copilot Studio
Platforms
Power Platform • Fabric • Functions • Logic Apps • Dataverse
“Brings clarity to complex Microsoft AI ecosystems and ships with confidence.”
— Project StakeholderFocus Areas
Building trustworthy AI solutions in the Microsoft ecosystem.
Azure AI Search
Hybrid search, vector retrieval, and relevance tuning for enterprise content.
RAG • Vector Search • RankingCopilot + Power Platform
Copilot Studio extensions and workflow automation that accelerate teams.
Copilots • Power Automate • DataverseExperience
Delivering AI initiatives from discovery to deployment.
2022 — Present
AI Engineer
Azure & Microsoft Environment
- Designed secure RAG architectures with Azure AI Search and Azure OpenAI.
- Built copilots with Copilot Studio and Power Platform integrations.
- Implemented monitoring, evaluation, and governance for AI workloads.
2019 — 2022
Data & AI Solutions Engineer
Enterprise Consulting
- Delivered AI search and knowledge solutions for regulated industries.
- Automated business workflows using Power Automate and Logic Apps.
- Supported multi-cloud data pipelines and analytics modernization.
2016 — 2019
Software Engineer
Digital Transformation Teams
- Built API-first services and integration layers for enterprise systems.
- Improved reliability and observability across distributed services.
- Collaborated with stakeholders to translate business needs into delivery.
Projects
Recent work across AI search, copilots, and automation.
- Azure AI Search + OpenAI
- Role-based access & logging
- Feedback-driven retrieval tuning
- Power Automate + Dataverse
- Human-in-the-loop approvals
- End-to-end audit trails
- Indexing pipelines at scale
- Semantic re-ranking
- Metrics-driven improvements
Education
Engineering foundations with AI-driven research projects.
2013 — 2017
B.Sc. Petroleum Engineering
Amirkabir University of Technology, Tehran, Iran
- Reservoir production forecasting with machine learning baselines.
- Well-log data classification for lithology identification.
- Python workflows for data cleaning and feature engineering.
2017 — 2020
M.Sc. Petroleum Production Engineering
Sharif University of Technology, Tehran, Iran
- Predictive maintenance modeling for production equipment.
- Optimization of production constraints using surrogate models.
- Time-series analysis for pressure and flow monitoring.
2021 — 2024
M.Sc. Computational Engineering
FAU Erlangen-Nürnberg, Erlangen, Germany
- Physics-informed ML for subsurface simulations.
- Multi-objective optimization with evolutionary algorithms.
- Applied deep learning for scientific data acceleration.
Capabilities
From strategy to secure deployment.
AI Engineering
RAG, prompt engineering, evaluation, safety, and governance.
Azure Stack
Azure AI Foundry, Azure OpenAI, AI Search, Functions, Logic Apps.
Power Platform
Copilot Studio, Power Automate, Power Apps, Dataverse.
Delivery
Architecture, security, MLOps, stakeholder enablement.
Feedback
Partners value clarity, speed, and practical outcomes.
“A strong bridge between business needs and Azure AI delivery.”
“Reduced time-to-answer with a secure, scalable search experience.”
Let’s build
Tell me about your AI initiative.
I respond within 48 hours.