Amine Amoura

I am a Lead AI Solutions Architect with rigorous expertise deploying cutting-edge agentic workflows and fine-tuned LLMs directly into scalable enterprise production environments. Navigating the intersection of foundational models and execution at Diraya Inc., I leverage deep proficiency in Python/Jupyter alongside Cloud-native Kubernetes and Docker setups (AWS Sagemaker, Bedrock, Azure AI) to securely operationalize generative AI architectures. Acting as the technical relationship owner, I translate intensely complex business logic into customized, "agentified" AI orchestration designs—constantly driving scalable deployment, regulatory safety, and enterprise customer adoption globally.

Principal AI Solutions Architect at Diraya Inc. (2022-04 – Present)

• Architect highly customizable, agentic AI solutions natively across scalable multi-cloud environments (AWS Sagemaker / Bedrock / Azure AI), heavily orchestrating bespoke LLMs to systematically solve complex enterprise data workflow challenges.
• Lead technical engagements and immersive workshops directly alongside corporate executives, bridging cutting-edge R&D with production requirements to architect secure generative AI pilots based strictly on internal model deployment protocols.
• Deploy robust "agentified" AI pipelines tightly utilizing Python, Kubernetes orchestration, and Docker containers, relentlessly maintaining high API performance, multi-agent logic flow, and strict data privacy compliance frameworks.
• Provide integral feedback to internal AI build teams analyzing model safety nuances and framework fine-tuning parameters, actively accelerating the iteration velocity of core foundation products utilized concurrently by thousands.

Lead Machine Learning Engineer at Diraya Inc. (2021-04 – 2022-04)

• Finetuned experimental ML models leveraging massively scalable training datasets via Python and Jupyter ecosystems, establishing concrete technical adoption metrics and directly boosting executive ROI adoption.
• Partnered seamlessly across dynamic product pods to heavily integrate interconnected decision-matrix agents directly into front-ward application services, dramatically accelerating deployment latency.

Systems Intelligence Engineer at Les Laboratoires FRATER RAZES (2014-11 – 2021-03)

• Configured initial ML ecosystems processing tightly regulated clinical testing arrays securely within distributed backend systems, mitigating long-term operational blindspots.
• Constructed highly automated data transformation logic securing raw analytics throughput for enterprise operational pipelines prior to predictive orchestration.

Master's Degree in Computer Science (Equivalent to 4-Year Bachelors + Exp) – University of Ibn Khaldun (2006-09 – 2014-06)

Information Technology Project Management – George Brown College Continuing Education