Results-driven Python Software Engineer with 5.5+ years of experience in developing scalable, high-performance actuarial and financial applications. Specializes in Python, Django, Fast API, and modern software engineering practices, with a strong focus on automation, performance optimization, and financial modeling. Adept at collaborating with actuaries, analysts, and cross-functional teams to deliver robust, maintainable solutions. Passionate about optimizing actuarial models, enhancing financial systems, and implementing best coding practices in dynamic environments.
- Developing and optimizing 2 Python-based actuarial applications to support financial risk assessment and pricing models.
- Building and maintaining high-performance APIs for actuarial tools, ensuring reliability and scalability.
Collaborating with actuaries and financial analysts to implement complex actuarial models for accurate forecasting.
- Leading code reviews and enforcing best coding practices to maintain a clean and maintainable codebase.
- Implementing real-time data validation and error-handling mechanisms to enhance system robustness.
- Contributing to DevOps processes, CI/CD pipelines, and cloud deployments for seamless application delivery.
- Led group of 6 engineers in design and development of Actuarial-based software solutions.
Jira
Service Now
Confluence
Trello
VS Code
Tableau
Salesforce
Google Colab
MS Office (Teams, Outlook, Excel, Presentation, Docs, Access, CoPilot)
Coding
Design
Binge Watching
Listening to music
Web surfing to learn new things