Welcome! I'm a Computer Science student at Stevens Institute of Technology, specializing in Artificial Intelligence and Software Engineering. My academic path is driven by a passion for innovation and a relentless pursuit of knowledge in the ever-evolving tech landscape.
With a focus on AI and software development, I bring a blend of creativity, problem-solving, and leadership skills to the table. My approach is analytical yet imaginative, aiming to contribute meaningful advancements in technology.
I'm excited about the potential to make a significant impact in AI and software engineering, and I look forward to connecting with others who share my passion for driving technological progress.
Taught and evaluated over 100 students in Data Structures, a core computer science course. Facilitated a lab section, enhancing student understanding and application of complex concepts. Developed an automated grading system, streamlining the assessment process for 100+ students. This approach significantly improved grading efficiency and accuracy, providing timely and consistent feedback.
Collaboratively engineered and launched a grading web application in Django to streamline the instructor workflow and enhance student feedback mechanisms. Partnered with professors to systematically identify pain points; meticulously prototyped UI and masterfully implemented REST APIs, providing a user-friendly interface and robust functionality. Designed and constructed back-end logic and contributed to the development of natural language processing grading algorithms in Python. Implemented secure authentication and role-based authorization, ensuring data integrity and compliance with institutional security protocols. Seamlessly imported student assignments via the Canvas API and presented the final product to stakeholders, receiving overwhelmingly positive feedback.
Developed and deployed a critical application to optimize data pipelines, improving efficiency. Collaborated with customers to identify and prioritize improvements to data flow, resulting in an increase in data accuracy and a reduction in processing time. Implemented optimizations reducing latency by and improving data processing speed. Conducted thorough testing to ensure scalability and robustness.
Relevant Coursework: Web Programming, Deep Learning, Database Management Systems, Algorithms, Data Structures, Linear Algebra, Statistics
Enabled users to engage in real-time conversations with any character from a book, using the text as context, and created an intuitive and immersive interface to support various literary works. Implemented cutting-edge natural language processing techniques and embeddings to accurately interpret and reflect characters’ unique voices and attributes, bringing fictional personalities to life.
View ProjectDesigned and constructed a sophisticated tool to detect text generated by ChatGPT and other Large Language Models (LLMs), contributing to the integrity of academic assignments by identifying and flagging machine-generated content. Leveraged statistical analysis to meticulously examine large datasets, successfully identifying and isolating unique patterns within machine-generated text, enhancing the tool’s accuracy and effectiveness.
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