I plan to be purposeful in my career in the development of intelligent and computational systems, towards making the world a better place. I have a unique duality of strengths—experience in healthcare/biopharma technologies, along with computer science and statistical tools. These experiences together provide me with a niche insight into medical and healthcare use cases for the newest machine learning and automation technologies. In my personal research, I have built models to predict various diseases such as cirrhosis and heart disease. Additionally, I have built holistic datasets and modeling pipelines to understand the relationship between state-level sex education policies and biases, and related health outcomes in their areas to understand how to better promote student health. Furthermore, I have worked with a team of peers to ideate and create an application college students can use to improve their course-scheduling experience by identifying the most optimal course schedule to align with their preferences, professor ratings, convenience, etc. I have also built complex NLP model ensembles to identify potential fraudulent job postings, as victims of these postings were reporting their personal information and funds being stolen. Currently, I am working with professors in my School of Computing to model and predict student behaviors and corresponding success in an early foundational computer science course at my school. This semester, I have served as a subgroup leader in a faculty-led research group that aims to engineer a wearable heat-sensor and notification system for canines. My subgroup is designing the heat stress assessment algorithm based on pet-level personalization, environmental readings from the device, and insights from a literature review. Once completed, these algorithms and applications can be generalized to protect pets, farm animals, and even people in the United States from heat-related injury. I have extensive experience with upholding data integrity and security principles, through working with healthcare, biopharma, and student-level institutional and academic data. These experiences, matched with my passion for helping others, truly excites me about pursuing future postgraduate education after completing my undergraduate degree in order to strengthen my technical knowledge in emerging fields, collaborate in group-based assignments with peers and industry professionals, and contribute to academia and research at my institution. For example, I have worked on building large language model agents to objectively and efficiently judge other agentic AI models, exploring how AI decisions align with fairness, accountability, and societal impact. Truly understanding these new and powerful technological tools is necessary for their ethical and purposeful implementation. Together, these computer science and non-computer science experiences demonstrate how I aim to combine my technical expertise with societal impact. I intend to continue developing ML solutions that address real-world problems, particularly in healthcare and education, while ensuring ethical considerations are prioritized. By integrating insights from healthcare, statistics, and computational systems, I hope to create tools that improve human well-being, inform policy decisions, and safeguard data and communities. Ultimately, my goal is to leverage my unique skill set to bridge technical innovation with meaningful societal contribution, embodying a purpose-driven approach to my career in computer science. Building on these experiences, my short-term goal is to deepen my expertise in NLP, ensemble architectures, and complex ML systems, while collaborating on projects with peers and faculty. Long-term, I aspire to apply these skills as a RAG engineer, recommender systems engineer, or deep learning architect, particularly in healthcare and education. By combining my computational expertise with insights from healthcare, statistics, and societal impact, I aim to create technology that is both innovative and purpose-driven, improving human well-being and contributing meaningfully to my community.

I plan to be purposeful in my career in the development of intelligent and computational systems, towards making the world a better place. I have a unique duality of strengths - experience in healthcare/biopharma technologies, along with computer science and statistical tools. These experiences together provide me with a niche insight into medical and healthcare use cases for the newest machine learning and automation technologies. In my personal research, I have built models to predict various diseases such as cirrhosis and heart disease. I have built holistic datasets and modeling pipelines to understand the relationship between state-level sex education policies and biases, and related health outcomes in their areas to understand how to better promote student health. I have worked with a team of peers to ideate and create an application college students can use to improve their course-scheduling experience by identifying the most optimal course schedule to align with their preferences, professor ratings, convenience, etc. I have built complex NLP model ensembles to identify potential fraudulent job postings, as victims of these postings were reporting their personal information and funds being stolen. I am currently working with professors in my School of Computing to model and predict student behaviors and corresponding success in an early foundational computer science course at my school. The number of enrolled students has historically made it impossible to target individual student need and flag problems in student engagement before they continue. This semester, I have served as a subgroup leader in a faculty-led research group that aims to engineer a wearable heat-sensor and notification system for canines. My subgroup is designing the heat stress assessment algorithm based on pet-level personalization, environmental readings from the device, and insights from a literature review. Once completed, these algorithms and applications can be generalized to protect pets, farm animals, and even people in the United States from heat-related injury. These projects have allowed me to apply technical skills to real-world problems, reinforced my commitment to using data and computational methods for societal benefit, and inspired me to continue developing solutions that improve health, safety, and well-being across communities. I have extensive experience with upholding data integrity and security principles, through working with healthcare, biopharma, and student-level institutional and academic data. These experiences, matched continued with my passion for helping others truly excites me about pursuing future postgraduate education after completing my undergraduate degree in order to strengthen my technical knowledge in emerging fields, collaborate in group-based assignments with peers and industry professionals, and contribute to academia and research at my institution. For example, I have worked on building a large language model agents to objectively and efficiently judge other agentic AI models, exploring how AI decisions align with fairness, accountability, and societal impact. Truly understanding these new and powerful and technological tools is necessary for their ethical and purposeful implementation.