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> Input: Caffeine; Output: Data Pipelines.
> Process: Crafting robust workflows (Apache Airflow), optimizing data flow.
> Specialization: Data infrastructure, ETL, cloud-native solutions (AWS/Azure), IaC, AI/ML systems integration.
Building resilient data pipelines & ETL processes. Primary orchestrator: Apache Airflow.
Proficient Python for data processing, automation, backend services, scalable application logic.
AWS & Azure expertise. Focus on scalable infra, serverless compute, containerization, cost optimization.
Terraform & CloudFormation proficiency. Ensuring consistent, automated, version-controlled deployments.
Strong background: SysAdmin, shell scripting (Bash/Zsh), performance tuning, security hardening.
Experience building/deploying AI agents (LangChain/LlamaIndex), fine-tuning & interfacing with LLMs.
> [ AliceSmith@Nielsen/ENG_LEAD ]:
"Collaborating with Alexander on cloud migration was pivotal. Deep AWS/Azure knowledge + IaC expertise = seamless transition execution. Resource highly recommended."
> [ BrunoYun@UoA_LYON1/PHD ]:
"Advised Alexander on MSc thesis. Demonstrated strong drive in data eng/sci/cloud domains. Technical contributions significantly elevated thesis quality & success."
$ When offline from data architecture & AI systems, compute cycles are redirected.
$ Exploring automotive tech, mechanical engineering, system tuning.
$ Intersection of precision engineering & complex problem-solving.