As a Senior Software Engineer at TerraPower, I have had numerous roles and responsibilities, including managing a team of 4 and leading initiatives that resulted in significant improvements in key areas of our technology stack. Specifically, I fine-tuned a large language model (LLM) using company documents to enhance the accuracy and relevance of internal AI-driven applications and successfully managed and refactored legacy application features, resulting in a 20% reduction in client-side load times. I've also been responsible for identifying and operationalizing agentic AI-based tooling to speed up software development workflows, which resulted in a 95% increase YoY in tickets resolved. Additionally, I played a critical role in the seamless transition of our codebase from one JavaScript framework to another by integrating a new TypeScript-based front-end with a legacy CoffeeScript-based front-end, a complex task that required expertise in multiple programming languages and frameworks. My contributions also included the development of optimized controllers in Django, which led to a 20% decrease in API response times. Recently, I’ve been driving the transition from traditional SDLC practices to agentic AI–based workflows across the entire development stack, significantly reducing manual engineering hours and accelerating development cycles. Overall, the efforts of the team have had a tangible impact on the performance and scalability of our applications, contributing to the success of the TerraPower team.

During my time as a Full-Stack Software Engineer at Google, I was instrumental in the development and enhancement of important systems and technologies. I used Python Django to totally redesign a transaction service relating to a Point-of-Sale system Google acquired, a critical system responsible for processing over a billion dollars' worth of transactions. In addition, I helped developed a state-of-the-art natural language processing model for handling customer claims relating to the Point-of-Sale system, reducing average customer claim service time by 18%. I also created the CI/CD pipeline for multiple services and linked the Django backend with microservices built in other frameworks, like Node.js, using GCP API Gateways and Lambda functions. Through the use of cursor-based pagination and efficient API calls, I was also able to reduce front-end load times by 60%. Overall, my contributions to the efficiency and scalability of our applications have made me an invaluable member of the Google team.

As a Junior Software Engineer at Permaxima Capital, I used my knowledge of Python and its libraries, such as TensorFlow, PyTorch, NumPy, Pandas, and Matplotlib, to develop a highly successful digital asset and financial derivatives trading algorithm that returned 58% over a six-month period. I also demonstrated strong capabilities in integrating multiple external systems and APIs, including message brokers such as Apache Kafka, to enable the ingestion and transformation of large volumes of data in a complex financial domain with minimal latency. In addition, using the testing frameworks PyTest and Cypress, I created various test suites for trading algorithms, ensuring maximum accuracy and preventing overfitting of back-tested data. My technical abilities and commitment to achieving results made me an invaluable member of the Permaxima Capital team.

As a freelance software developer, I have had the opportunity to work on a diverse range of projects for clients in various industries. Some examples of my work include:

I have a strong track record of delivering high-quality software solutions and consistently meeting project deadlines, and I am proficient in a wide range of programming languages, frameworks, and technologies. My skills and expertise make me a valuable resource for clients looking to build innovative and reliable software applications.