Experienced Python Developer with over 5 years in AI and ML, seeking an innovative role for continuous growth.
Project management expertise, leading initiatives like a recommendation engine, contributing to substantial client base expansion.
Drove the development of an advanced AI-driven data analytics platform, elevating the company's data handling capabilities.
Innovated team dynamics through knowledge-sharing sessions, reducing onboarding time and elevating overall efficiency.
Implemented a dynamic code review process, resulting in a marked decrease in post-deployment issues.
Proficient in Python, Java, and C++, excelling in advanced libraries like TensorFlow, PyTorch, and Scikit-learn, with expertise in deep learning.
Holds a Master of Science in Computer Science, specializing in NLP enhancements through deep learning techniques.
Actively contributes to open-source AI and ML projects, a dedicated member of ACM, and holds certifications in Python development and machine learning.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Senior Software Python Developer
PwC
Tampa, FL
10.2019 - Current
Spearheaded the development and deployment of AI and ML solutions, resulting in a 20% improvement in operational efficiency.
Led a project that increased data analytics capabilities by 30%, facilitating the company's ability to handle a 30% increase in data volume.
Introduced knowledge-sharing sessions, reducing onboarding time by 20% and improving overall team efficiency by 15%.
Implemented a recommendation engine that contributed to a 25% growth in the client base.
Actively contribute to open-source AI and ML projects on platforms like GitHub. My contributions often include bug fixes, feature enhancements, and documentation improvements.
Introduced knowledge-sharing sessions, reducing onboarding time by 20% and improving team efficiency by 15%.
Implemented a bi-monthly code review process, leading to a 30% reduction in post-deployment issues.
Python Developer
Deloitte
Kansas City, MO
11.2018 - 07.2020
Implemented Infrastructure as Code (IaC) tools such as Terraform and Ansible to automate cloud-based deployments, reducing deployment time by 50% and minimizing human error
Implementing containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for efficient deployment and management.
Implementing monitoring solutions for real-time visibility into application performance, system health, and resource utilization.
Integrated third party tools into existing systems within the cloud environment.
Designing and implementing robust disaster recovery and business continuity strategies for cloud-based bringing about 40% reduction in downtime during incidents
Supervised and coordinated the development and deployment of AI and ML, resulting in a significant 20% improvement in operational efficiency.
Education
Master of Science - Computer Science
University of Central Missouri
Warrensburg, MO
04-2018
Bachelor of Science - Computer Science Engineering