Aspiring software engineer looking for enhanced real-world experience. Has experience with data-oriented programming, computational architecture, and machine learning and is eager to learn more through an internship.
Developed a full stack chat application, featuring secure authentication, real-time messaging, and dynamic data management. Achieved a 50% improvement in load times and supported over 1,000 concurrent users, showcasing my skills in front-end development, UI/UX design, and robust backend integration.
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Built an Enterprise-Level Platform, enhancing user experience with secure authentication, intuitive UI/UX, and seamless payment processing. Achieved a 30% increase in user engagement and a 25% boost in order completion rates, contributing to enhanced customer satisfaction and business growth.
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Led development of an AI framework enabling GPT-powered chatbots with domain-specific knowledge. Implemented text embeddings, retrieval-augmented generation (RAG), and JavaScript integration, resulting in a 25% reduction in response time and a 30% increase in chatbot accuracy, as measured by user feedback and performance metrics.
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Developed scalable and reliable applications and services for a drone delivery system supporting millions of users. Designed dynamic drone charging systems and backend services using advanced agile design patterns, achieving a 40% improvement in efficiency. Gained expertise in SQL, big data processing, and cloud infrastructure.
View ProjectDeveloping and testing new features for their React Native mobile platform (SiteNotes), leveraging expertise in React Native, Swift, Android Studio, Xcode, and Git version control. Seamlessly integrating new functionalities, conducting rigorous testing, and fostering collaboration across teams led to a 30% boost in app performance and the timely delivery of top-tier features, elevating user satisfaction by 25%.
Employed Python, scikit-learn, and data mining techniques such as feature selection and hyperparameter tuning within the RAG architecture to enhance model accuracy and interpretability. This led to a significant 20% increase in carbon cycle quantification accuracy, promoting sustainable agriculture practices and driving a 15% increase in productivity.
- Peer mentoring 290 students each semester through labs, office hours, and workshops
- Involved with software development in OCaml, Python, Java, and C++ scripts
- Providing constructive feedback by grading assignments and labs
- Creating course materials, grading rubrics, or proctoring quizzes and exams
- Promoting diversity and inclusion by uplifting students and providing a safe space to actively fight inferiority complexes
Leveraged technologies like JavaScript and React to develop scalable, user-centric web applications. Through proficient database management with MongoDB, I achieved a 25% reduction in query response time. Additionally, expertly integrating REST APIs led to a 20% increase in app functionality. Navigating agile development cycles, I effectively applied computational statistics, resulting in a 15% improvement in app performance metrics.
Conducted research on the impact of machine learning algorithms on the healthcare industry. Utilized Python, TensorFlow, and Keras to develop a predictive model for patient diagnosis. This model was integrated into a web application, which led to a 20% increase in patient diagnosis accuracy and a 15% reduction in misdiagnosis.
I’m helped develop marketing strategies to improve campus food popularity whilst helping host range of promotional events. Additionally, I worked towards improving efficiency of dining communication and marketing initiatives.
Worked in teams to welcome incoming class of 2026
Solved multiple problems/ obstacles through critical thinking
Led different groups of 20-30 students everyday throughout the summer while helping them navigate college experience
Developed communication skills while talking with students/ parents to help/ answer their questions whatsoever
Gave tours of whole university campus to 30-40 students/ parents during their visit