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Umair Khalid Top-Executive

I am an AI & Data infrastructure Engineer and Master’s candidate in Artificial Intelligence, with around 3 years of hands-on experience across applied AI, data engineering, cloud workflows, automation, and deployment-oriented machine learning systems. I also hold certifications in Microsoft Azure AI Engineer Associate (AI-102), Microsoft Fabric Data Engineer Associate (DP-700), and HashiCorp Terraform Associate.
My work focuses on applied AI, data engineering, MLOps, LLMOps, cloud infrastructure, and AI automation. I have hands-on experience building and deploying machine learning systems, data pipelines, computer vision models, NLP solutions, and LLM-powered applications using tools such as Azure AI, Microsoft Fabric, Azure OpenAI, Python, PyTorch, TensorFlow, MLflow, Docker, Terraform, FastAPI, LangChain, LangGraph, n8n, and CI/CD workflows.
I have worked on edge-cloud AI systems, predictive maintenance, sensor analytics, real-time data processing, and automation workflows. My experience includes model development, evaluation, deployment, monitoring, infrastructure automation, data quality, and integrating AI solutions into practical applications.I am especially interested in building reliable and scalable AI systems for industrial AI, smart manufacturing, autonomous systems, cloud-native AI platforms, and AI-driven automation.

I am open to opportunities in AI Engineering, Data Engineering, MLOps, LLMOps, Applied AI, Cloud AI, and AI Automation roles.

Connections

Headquarters: Berlin Metropolitan Area
Headline: AI & ML Engineer | 2X Azure Certified | Terraform Certified | DevMLOps, LLMOps & AI Automation | Rag, MLflow, Docker, LangGraph, DVC, Data Pipelines, Edge AI & Cloud Infrastructure | N8N | KServe, MinIO | Evidently AI
Followers: 772
Connections: 676
Company: Photonic
Company Website: http://www.ipms.fraunhofer.de
Skills: Retrieval-Augmented Generation (RAG), Azure AI Studio, Transformer Models, InfluxDB, prometheus, T-SQL, REST APIs, LaTeX, C++, Ansible, MATLAB, Python (Programming Language), Windows Server, Git, Linux, Nginx, PostgreSQL, Docker compose, GitHub, Terraform, Jenkins, Maven, Docker, Mqtt, Apache Kafka, Data Engineering, MLOps, Core Microsoft Fabric & Power Platform, OneLake, Dataflows Gen2, Lakehouse Architecture, Data Warehouse in Fabric, Microsoft Fabric Pipelines, Microsoft Fabric Notebooks, 🔹 Data Engineering & ETL, Data Ingestion, Data Transformation, Extract, Transform, Load (ETL), Data Pipeline Orchestration, Data Modeling, Business Intelligence (BI), Dashboard Design, KPI Development, Computer Vision, Natural Language Processing (NLP), Conversational AI, Language Understanding (LUIS), Graphs, Software Infrastructure, Computer Science, Architecture, Cloud Computing, Transparency, English, DirectLake / Import / DirectQuery, DAX (Data Analysis Expressions), Python (in Notebooks), Spark (Fabric runtime), Power Query (M Language), 🔹 Analytics & Reporting, Row-Level Security (RLS), 🔹 Data Governance & Security, Sensitivity Labels, Workspace Roles and Permissions, Data Access Control, Data Sharing Policies, Cloud and Integration, Azure Data Lake (ADLS), Power Platform (Power Apps, Power Automate), Azure Synapse Analytics (legacy connection)
Experience: Title: AI and ML Engineer Company: Fraunhofer Institute for Photonic Microsystems IPMS Location: Start: Jul 2025 End: Present Title: Studentische Hilfskraft Company: Brandenburgische Technische Universität Cottbus-Senftenberg Location: Cottbus Start: Jan 2025 End: Dec 2025 Title: DevOps Engineer Company: SpacialDB UG (Decision Labs) Location: Berlin, Germany Start: Nov 2022 End: Sep 2023 Title: DevOps Engineer Company: DevOps_Lab Location: Start: Mar 2022 End: Nov 2022
Education: School: Brandenburgische Technische Universität Cottbus-Senftenberg Degree: Master's degree Field: Artificial Intelligence Period: Oct 2022 School: University of Gujrat Degree: Bachelor of Science - BS Field: Computer Software Engineering Period: 2017 - 2021
Country: Germany
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