Saleem Ahmad

Dynamic AI Lead & Architect with over 15 years of experience, including 7 years in Saudi Arabia (KSA).
Specialized in Agentic AI, Generative AI, Machine Learning, Deep Learning, Time Series Analysis, Data
Science, Cloud Technologies, and AI Deployment. Skilled in pre-sales, scoping, architecting, designing, and
implementing scalable AI and data solutions aligned with business objectives. Demonstrated leadership in
delivering impactful, data-driven projects, managing end-to-end lifecycles from design to deployment.
Technical Skills:
• Generative AI & ML: GenAI, LLMs, Prompt Engineering, LangChain, Python, Alteryx, LSTMs,
PyTorch, TensorFlow, Keras, Time Series, ARIMA, SARIMA and LSTMs
• DL & Computer Vision: Image classification, object detection, OCR, video analytics, facial
recognition, anomaly detection, OpenCV, YOLO, DeepStream, TensorRT, CUDA and NVIDIA
• Agent-Based AI: Multi-Agent Systems (MAS), Agent Frameworks, Autogen, Laing Graph Reactive,
Deliberative, and Hybrid Agent Design
• AI System Architecture: End-to-end AI model design, integration with cloud-based data.
• Cloud Azure/GCP: Google Cloud (Vertex AI, App Builder, BigQuery, Pub/Sub, Dataflow, Spanner),
Azure Cloud (Azure AI, OpenAI, SQL, Blob Storage, Cosmos DB, Fabric, Databricks)
• MLOps & Deployment: CI/CD pipelines, Docker, Kubernetes, MLflow, Airflow, Kubeflow for
scalable and automated AI deployment.
• Big Data, Data Pipelines & Analytics: Hadoop, Spark, PySpark, Kafka, Apache Airflow, Snowflake,
Databricks, SQL, Delta Lake, and Snowpark for large-scale data processing.

• Served as Lead Data Scientist and Provided strategic leadership, aligning team projects with organizational goals and driving innovative methodologies. Managed and mentored a high-performance team, ensuring project timelines and deliverables met standards
• Led development and implementation of sophisticated machine learning models aligned with business objectives
• Collaborated with cross-functional teams, executives, and stakeholders to communicate data-driven insights and influence decision-making
• Demonstrated expertise in hands-on data science and machine learning techniques, robust model development and deployment, and proficiency in MLOps tools and CI/CD pipelines

• Served as a Senior Consultant, Responsible for a wide range of crucial tasks, Designed the architecture for SharePoint and Project Server
• Ensured the optimal structure for these systems, Led the migration and upgrade eforts, specifically migrated Project Server 2007 to 2010, Tasks involved complex planning and execution, designed and deplopment and deployment

• Served as a Lead Developer, conducting comprehensive Requirement Studies to understand project needs
• Designing and developing customization components such as Web Parts, Event Handlers, Features, Timer Jobs, Workflows, and dynamic web pages, implementing enhancements using technologies like WSS, MOSS, ASP.NET
• Creating Business Objects to efectively implement complex business logic and populate data transfer objects

• Served as a Software Engineer, Core responsibilities included both the development of new projects and the enhancement of existing ones within the context of web portals, played a pivotal role in creating new projects
• Contributed to the continuous improvement of existing web portals, prepared initial analysis documents and Programmer Specifications based on Business Requirements, Conducted a thorough examination of project needs

• Served as a .NET Programmer role, Pivotal role in software development, spearheading the creation of new projects
• Preparing comprehensive initial analysis documents based on business requirements, Guiding the development process
• Crafting detailed programmer specifications, Providing the development team with a roadmap for technical requirements and project expectations