I am a results-driven and detail-oriented software developer with a strong work ethic and a commitment to delivering high-impact solutions. I bring a broad technical foundation, excellent problem-solving skills, and a proven ability to quickly adapt to new challenges and fast-paced environments.
Designed, built, and maintained a full-stack web application for pricing and analyzing financial derivatives using Python, Enaml (for declarative UI), and JavaScript.
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Created interactive visualizations of index performance, risk metrics, and internalization behavior using PlotlyJS and ag-Grid.
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Engineered a time-aware backtesting dataset with point-in-time reference data snapshots, reducing query latency and enhancing performance of an iterative trading strategy simulator.
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Collaborated with stakeholders and quantitative researchers to define and prioritize core features, ensuring technical design was aligned with business goals and implemented using maintainable, testable object-oriented design patterns.
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Integrated kdb+/q database queries into a Python application, enabling real-time data extraction, transformation, and presentation for fast, user-friendly insights.
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Developed reusable React components to standardize UI patterns and improve global team productivity.
Collaborated with engineers to develop an internal learning platform with documentation, quizzes, and interactive content to improve onboarding and training.
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Boosted employee usage of internal documentation by 85%, helping management monitor and address performance gaps.
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Followed SDLC to design and create the backend for the React Application and hosted it on AWS
Successfully implemented a RESTful API via AWS APIGateway, reinforced by AWS Cognito's robust security features, to provide a secure and reliable application programming interface
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Designed and implemented a NoSQL database on AWS DynamoDB to streamline the storage and retrieval of data in a secure and efficient manner
