Konstantin Borovik¶
Generative AI Developer & DevOps Engineer
Bridging Generative AI and Business Systems¶
Are you looking to leverage the power of Generative AI to streamline your document processing and integrate it seamlessly with your core accounting or ERP systems? I can help.
With over 20 years in Information Technology, I am a Senior Cloud Engineer specializing in architecting and managing robust applications and infrastructure across major cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). My extensive background in DevOps, system integration, and, more recently, Generative AI, positions me uniquely to build the custom solutions you need.
Expertise in System Integration and Automation¶
Throughout my career, I’ve focused on building and optimizing the connections between complex systems. Key highlights include:
Microservices & Cloud Architecture: Experience deploying and managing microservices applications, including migrating complex applications between cloud environments (GCP to Azure).
CI/CD Pipeline Development: Proficient in building sophisticated CI/CD pipelines using tools like GitLab, GitHub, Terraform, HELM, and Python to automate deployment and ensure reliability.
Infrastructure as Code (IoC): Skilled in developing and managing cloud infrastructure (GCP, Azure, AWS) using Terraform and Ansible, ensuring scalable, secure, and reproducible environments.
Diverse System Experience: Proven ability to work with various technologies including Kubernetes (GKE, AKS), Docker, Apache Airflow, databases (PostgreSQL, MySQL), and observability stacks (Elastic, Grafana). This breadth ensures I can effectively integrate AI solutions with your existing tech stack, including accounting and ERP systems.
Python & Generative AI Development¶
Python is a core part of my toolkit, particularly in the context of automation and AI:
AI Application Development: Directly involved in developing Google Gemini AI Python scripts and building CI/CD pipelines specifically for Generative AI applications.
AI Infrastructure Management: Experience managing GCP Vertex AI infrastructure tailored for Generative AI workloads and developing HELM charts for deploying these applications.
Automation Scripting: Extensive use of Python for developing Apache Airflow scripts for ETL and workflow automation, crucial for processing and integrating data from various sources.
Recent Generative AI Roles: Held roles focused on Generative AI at TD Canada Trust (Data for Generative AI), Charli.Ai (Generative AI financial application), and PayPal (managing infrastructure for Generative AI applications).
Let’s Build Your Solution¶
Let’s discuss how I can help automate and enhance your document workflows.