Umar Maqsud
Senior AI Architect & Engineer
Experience
Senior AI Architect & Engineer
Freelancer / Self-employed
- Consulting, design, and architecture of SaaS platforms with a focus on automation, data analytics, and cloud deployment
- Defining the target architecture and managing the entire development lifecycle from implementation to production operation, including stakeholder alignment
- Designing, architecting, and implementing a multi-tenant SaaS platform
- Building scalable data and machine learning pipelines (batch & streaming) for order and business data
- Developing AI models for data analysis (KPI calculations, forecasts) and integrating them into data pipelines
- AI-driven processing of customer inquiries (delivery status, invoices, cancellations, complaints) to automate customer service
- Developing APIs, microservices, and dashboards with Python for data-driven applications
- Cloud deployment on AWS and infrastructure-as-code automation with Terraform; containerization with Docker and Kubernetes
- Setting up CI/CD pipelines for automated deployments with GitLab CI and governance of deployment processes
- Implementing monitoring dashboards with Grafana to monitor services and ML pipelines
- Implementing security and compliance requirements (GDPR-compliant data handling, logging), including identity & access management and role-based access control
Senior AI Consultant
Public sector client (project via IBM)
- Advising, designing, and implementing intelligent systems for data processing and process automation with a focus on natural language processing, machine learning, and scalable software architecture
- Defining architecture and technical implementation of AI solutions in projects with public sector and security-critical focus
- Modernizing legacy systems and migrating to containerized microservices architectures (Docker/Kubernetes)
- Building and architecting an NLP system for automatic classification of news texts with company-specific categories and automated feature extraction
- Developing a method to prioritize regression tests using an ML model to optimize test analysis
- Applying semantic analysis techniques in IT problem management to speed up incident handling and reduce repeat cases
- Aligning architecture decisions with interdisciplinary teams and advising on model validation, explainability, and knowledge integration
- Java development of backend components with a focus on maintainability, clean code, and integration into existing system architectures
- Building a scalable MLOps reference architecture with automated model lifecycle management (versioning, pipeline orchestration, monitoring)
- Responsible for architecture roadmap, CI/CD governance (GitLab, Jenkins), and integration of the MLOps toolchain
- Evaluating strategies for new AI components in a government context to maximize reuse of existing solutions
AI Architect & Engineer
German Research Center for Artificial Intelligence (DFKI)
- Research and development in Industry 4.0 for intelligent analysis of sensor data, error reports, and production parameters in cyber-physical manufacturing systems
- Developing forecasting models for process optimization and methods for automated data cleansing in real-time data streams
- Designing and researching methods to analyze sensor data and production parameters to improve manufacturing process efficiency
- Developing predictive analytics models with Apache Flink for streaming and batch processing of machine sensor data
- Analyzing unstructured data (error logs, maintenance and repair reports) using NLP for automated error detection and root cause analysis
- Implementing methods for real-time data cleansing and ensuring data quality in continuous data streams
Software Engineer
IBM Watson Research Center
- Research and development within the IBM Watson DeepQA framework (Watson Multilingual Group)
- Designing and implementing a graph-based model for question answering based on the IBM DeepQA framework
- Analyzing and processing natural language texts with an NLP pipeline to extract semantic relations
- Validating the approach in collaboration with an international research team in Dublin
Software Engineer
BetterTec GmbH
- Designing and developing web and backend features for a mobility platform with a focus on booking systems, user management, and billing processes
- Developing components for booking and billing systems
- Integrating external services and APIs to include pricing information and booking functions
- Modeling and optimizing relational databases (PostgreSQL) for efficient data management
- Implementing core business logic for user management, invoicing, and payments, including route matching
- Agile team development following Scrum with short sprints and regular reviews
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (11 years), Government and Administration (4.5 years), Transportation (3.5 years), and Manufacturing (2 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (10.5 years), Product Development (8.5 years), Business Intelligence (3 years), and Research and Development (2.5 years).
Skills
- Hybrid Ai Architectures (On-premises & Cloud)
- Machine Learning Pipelines
- Mlops
- Ml Lifecycle Management
- Data Engineering (Batch & Streaming)
- Architecture Definition & Stakeholder Alignment
- Infrastructure As Code (Terraform)
- Ci/cd Governance (Gitlab Ci / Jenkins)
- Security & Compliance (Gdpr / Iam / Rbac)
- Python
- Model Monitoring & Versioning (Mlflow / Kubeflow)
- Explainable Ai
- Natural Language Processing (Nlp / Llm)
- Aws Sagemaker
- Docker & Kubernetes
- Java
- Microservices & Interface Architecture
- Monitoring (Grafana)
- Ai Platforms On-premises (Open-source Stack)
- Sql & Databases
- Data Warehousing
Languages
Education
Technical University of Berlin
Master of Science · Computer Science · Berlin, Germany
Technical University of Berlin
Bachelor of Science · Computer Science · Berlin, Germany
Profile
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