Python developer with over 5 years of experience building internal tools, automation scripts, and backend systems. I've worked on AI-driven projects, API integrations, and fast MVP development using platforms like Replit. I'm curious, self-driven, and enjoy turning ideas into functional solutions through quick iteration and hands-on experimentation.
•Project management: Overseeing software and hardware development projects from inception to completion, ensuring they meet timelines, budgets, and quality standards. Moreover, I collect and document project functional and technical requirements through stakeholder interviews and analysis.
• Repository version management: Managing code repositories, ensuring proper version control, facilitating collaboration among development teams, and releasing versions of the built projects.
• IoT product development: Designing and building Internet of Things (IoT) products, including hardware and software components, tailored for specific applications. The main products in development are Aquatic, SmartEnergy, SmartFeeder, AeroSmart, and Avequality.
• Machine learning models development and integration: Creating and training machine learning models to analyze data and make predictions, improving decision-making processes. Also responsible for the integration process of trained models in the Cloud environments.
• Management of AWS cloud environments: Overseeing the deployment, maintenance, and optimization of production environments on Amazon Web Services (AWS) to ensure high availability and performance. Designing scalable, secure, cost-effective solutions using AWS services to meet business and technical requirements.
• Product and service pricing: Developing pricing strategies for products and services, balancing competitiveness and profitability. Establishing and maintaining relationships with key suppliers, negotiating contracts, and ensuring a reliable supply chain.
Developed internal fullstack applications using JavaScript and Python, ensuring responsive and scalable architecture.
Managed and monitored Microsoft Azure infrastructure, including server maintenance and application deployment.
Created microservices, custom plugins, and automated tasks using Terraform, Bash, and PowerShell, enhancing DevOps efficiency and cloud resource provisioning.