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Presentation
AI & Cloud Specialist | Python Developer | Predictive Analytics Expert | Mathematician
I help businesses automate complex processes and turn data into actionable insights. Currently conducting advanced research in Predictive Agriculture at Landmark University, I specialize in building Python-driven models that solve real-world problems.
Core Competencies:
Cloud: Azure VM deployment, Linux Server hardening.
Data: Predictive modeling using Python (Pandas/NumPy).
Math: Advanced statistical analysis for business forecasting.
Available for both short-term troubleshooting and long-term project collaboration.
I help businesses automate complex processes and turn data into actionable insights. Currently conducting advanced research in Predictive Agriculture at Landmark University, I specialize in building Python-driven models that solve real-world problems.
Core Competencies:
Cloud: Azure VM deployment, Linux Server hardening.
Data: Predictive modeling using Python (Pandas/NumPy).
Math: Advanced statistical analysis for business forecasting.
Available for both short-term troubleshooting and long-term project collaboration.
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Portfolio
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Offered services
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Background
Lead DevOps Engineer and Cloud Automation Specialist
Developed a complete microservices-based project using Flask for backend and frontend services, fully automated for scalable cloud deployment.
Technical Stack & Achievements:
Infrastructure as Code (IaC): Used Terraform to provision Kubernetes infrastructure automatically.
Container Orchestration: Deployed services via Docker and Kubernetes, utilizing custom deployment manifests and replicas for high availability.
Automation & Configuration: Created Ansible playbooks to manage master and worker nodes across multiple hosts.
Custom Tooling: Scripted a Python-based deployment generator to auto-create YAML configurations.
Security & Testing: Implemented local SSL certificates for secure HTTPS communication and established systematic endpoint logging.
Technical Stack & Achievements:
Infrastructure as Code (IaC): Used Terraform to provision Kubernetes infrastructure automatically.
Container Orchestration: Deployed services via Docker and Kubernetes, utilizing custom deployment manifests and replicas for high availability.
Automation & Configuration: Created Ansible playbooks to manage master and worker nodes across multiple hosts.
Custom Tooling: Scripted a Python-based deployment generator to auto-create YAML configurations.
Security & Testing: Implemented local SSL certificates for secure HTTPS communication and established systematic endpoint logging.
Mathematics
Focused on the intersection of Advanced Mathematics and Computer Science, with a specialized research interest in Predictive Agriculture.
Key Academic & Technical Highlights:
Predictive Modeling: Applying statistical analysis and Python-driven models to optimize crop growth and agricultural yields.
Systems Architecture: Developing complex microservices environments using Docker, Kubernetes, and Terraform.
Cloud Automation: Implementing infrastructure-as-code and configuration management with Ansible and Azure.
I leverage my mathematical background to build highly accurate, scalable, and automated technical solutions for modern business challenges.
Key Academic & Technical Highlights:
Predictive Modeling: Applying statistical analysis and Python-driven models to optimize crop growth and agricultural yields.
Systems Architecture: Developing complex microservices environments using Docker, Kubernetes, and Terraform.
Cloud Automation: Implementing infrastructure-as-code and configuration management with Ansible and Azure.
I leverage my mathematical background to build highly accurate, scalable, and automated technical solutions for modern business challenges.
🇬🇧English
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Working hours
Monday
From08h00To18h00
Tuesday â–ª Today
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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