◦ Implemented in-memory caching strategy reducing API call expenses by 80%. ◦ Built a WebSocket batch processor to aggregate frequent user actions, reducing server load and cutting round-trip latency in a real-time collaborative editor. ◦ Led the development of a flexible data model, allowing for the intuitive management of complex, nested data within AWS DynamoDB, with a custom serialization strategy. ◦ Optimized the canvas rendering pipeline, increasing speed by 74% and enabling smooth real-time interactions by reducing unnecessary re-renders. ◦ Architected a runtime application based on advanced type theory that enables non-technical users to create custom tools without coding, reducing manual workflows by 40%. ◦ Developed recommendation algorithms in Scala that increased user task completion rates by 35% through intelligent workflow suggestions.

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◦ Optimized data processing pipelines using Python multiprocessing and pandas, reducing computation time by 30% for molecular dynamics simulations. ◦ Processed 5,000+ data points from molecular dynamics simulations, Elastic Network Models (ENMs), and real-world crystal structures using SciPy, performing PCA and covariance analysis to evaluate protein movements, fluctuations, and model accuracy. ◦ Contributed to the design and development of an advanced algorithm for predicting protein movement properties, improving the accuracy and efficiency of molecular simulations. ◦ Hosted weekly seminars on protein dynamics and graph theory for the research team.

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◦ Integrated an AI chatbot into the chatting system, enhancing user interactions and engagement in the project. ◦ Utilized TypeScript and RE:DOM to create a responsive and visually appealing UI. ◦ Developed a browser-based virtual file system that allows users to simulate an organized data structure within their web environment.

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◦ Helped 200+ undergraduate students learn the essentials of Python programming. ◦ Devised Python automation scripts to expedite the evaluation of student assignments and exams, optimizing efficiency in grading processes.

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◦ Programmed CKKS encryption scheme using C++ to perceive the security of public keys. ◦ Maintained weekly seminars on Homomorphic Encryption and cryptography. ◦ Researched asymmetric cryptographic algorithms ◦ Worked on improving the efficiency of key formation and devised design documents for ring-based crypto schemes.

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