I am a Computer Science graduate student at NYU Courant Institute of Mathematical Science with a strong foundation in software engineering, data science, artificial intelligence, and machine learning. I have experience working as a Software Engineer Intern at Green Light-Year and as a Full Stack Engineer Intern at VisionX LLC.
Currently, I am an AI Engineer Intern at CircusAI, where I work on developing image generation models and exploring new ways to create, share, and have fun with AI-generated images.
My goal is to leverage my technical skills and passion for AI to develop innovative solutions that can positively impact the world.
New York University – Courant Institute of Mathematical Science
Expected Graduation: 2025
Rutgers University
Graduated Magna Cum Laude
Dean's List (7 Semesters)
CircusAI, New York, NY
June 2024 – Present
Green Light-Year, Remote
May 2023 – August 2023
VisionX LLC, Remote
May 2022 – August 2022
Implemented workflows in ComfyUI using diffusion models and PyTorch. Managed and deployed AWS cloud-based backend services and created APIs for backend interactions. Developed classification models for content filtering and LLM-based recommendation services.
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Developed an AI-driven mental health chatbot using Dialogflow, Firebase, Node.js, and React+Vite. Provides personalized mental health support and reduces stigma associated with seeking help.
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Developed an Android app with Kotlin to generate engaging TikTok captions and hashtags, enhancing content creation. Integrated Firebase for user authentication and media management.
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Contributed to integrating an image upload feature and cloud AI classification model, supporting over 1000+ plant health issues. Designed a dynamic web UI with HTML, increasing user engagement significantly.
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Developed a cloud-based application for training and interacting with an AI chatbot in real time using React and JavaScript. Implemented secured authentication with AWS Amplify and integrated chatbot features with Botpress.
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Designed and developed a robust Markdown editor using React and Remarkable, featuring real-time state saving with localStorage and global state management through Context API.
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Developed a robust OCR system using a hybrid CNN and LSTM architecture with TensorFlow and Keras. Achieved over 95% accuracy with over 5000+ text images.
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Built AI models in Python for classifying face and digit images, including Naïve Bayes classifier, Perceptron, and CNN. Benchmarked model performance.
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Implemented secure messaging protocols, focusing on the X3DH protocol using C++ and OpenSSL. Conducted research on Continuous Key Agreement with tamper detection.
Developed a cross-platform application with PyQt and Django for game distribution and monitoring children's gaming activities. Led the web development team under the Agile framework.
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Built an Android app with Java for customizing and ordering pizzas, featuring topping/size selection and order export. Designed a responsive graphical user interface for various screen sizes.
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Developed a sentiment analysis model for IMDB movie reviews using NLTK and XGBoost. Achieved robust model performance with thorough evaluation.
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