• Built multiple small-scale full-stack applications for various business units using Python, React, TypeScript, GraphQL, and a range of native AWS solutions.

• Supervised all technical scoping activities for client feature requests.

• Led scoping discussions regarding major architecture decisions.

• Developed strategic timelines for feature requests to optimize efficiency and minimize unnecessary churn.

• Researched the feasibility of new and trending AI models for client requests.

• Introduced a security policy, initiating steps toward achieving SOC 2 compliance.

• Created and developed a full-stack application for an AI chatbot integrated with our RAG (Retrieval-Augmented Generation) Model, alongside the rapid construction of an API for the model, all accomplished within a matter of weeks.

• Planned and executed the deployment of in-house Natural Language Processing (NLP) and Natural Language Generation (NLG) models, ensuring effective implementation of all required resources for consumption by our FullStack Application.

• Revamped the entire data storage architecture to enable advanced functionality in FullStack applications and AI Models.

• Conducted an extensive architecture review to identify bottlenecks, scalability challenges, and potential security vulnerabilities within the system. Developed a strategic roadmap to address and rectify these issues, demonstrating a proactive approach to enhancing system performance, scalability, and security.

• Defined a robust testing strategy, incorporating unit tests, integration tests, and end-to-end tests to ensure high code quality and reduce bugs.

• Established or updated continuous integration and deployment (CI/CD) pipelines, integrating automated testing at each stage.

• Implemented agile methodologies and utilized Jira to create a Scrum framework.

• Developed internal applications for Product Line Planning at Nike

• Utilized React, Redux, and Apollo to build robust and scalable solutions

• Collaborated with stakeholders and subject matter experts (SMEs) to create and breakdown tickets

• Facilitated the development of integrations with various data stores

• Ensured alignment with project goals and requirements

• Contributed to enhancing application functionality and performance

• Updated Terraform scripts and infrastructure to maintain scalability and reliability

• Provided mentorship and guidance to junior team members

• Conducted code reviews and provided feedback to improve code quality

• Participated in architectural discussions and contributed to decision-making processes

• Researched and implemented best practices for software development and deployment

• Actively participated in Agile ceremonies and contributed to sprint planning and retrospectives