As a budding software engineer with a strong foundation in computer science from Princeton University, I bring a blend of technical acumen, innovative thinking, and collaborative skills.
Experience
At Onthera, I built proprietary RAG + LLM architecture with AI agents for biotech workflows—designing an end-to-end system where agents orchestrate retrieval, tool use, and structured reasoning to generate grounded, traceable outputs. I worked across indexing/chunking strategy, prompt + guardrail design, and evaluation-driven iteration to improve reliability, reduce hallucinations, and maintain performance under production constraints.
2024 — 2025
As a Chatbot Development Intern at Azuli Studios, I have been actively involved in creating customized chatbot solutions for a variety of clients. One of my notable projects includes enhancing the customer interaction capabilities for Black Lotus Shilajit. My key responsibilities include:
Custom Chatbot Creation: Utilizing Google Cloud Platform and GitHub to develop bespoke chatbots tailored to the unique needs of our clients.
Product Recommendation Integration: Implementing advanced features to detect user interest and dynamically recommend relevant products with an 'Add to Cart' option directly within the chat interface.
Streamlined User Experience: Ensuring a seamless and engaging user experience by maintaining the visibility of recommended products even as new queries are made.
Real-Time Data Handling: Integrating with Firebase for real-time data fetching and logging to improve chatbot responses and track user interactions.
Backend and Frontend Coordination: Coordinating between backend and frontend components to ensure efficient handling of product information and user queries.
Performance Optimization: Continuously debugging and refining the chatbot to handle streaming responses effectively and provide accurate, timely information to users.
Princeton, New Jersey, United States
Specialized in elevating the academic journey of over 30 students within the rigorous domains of Linear Algebra and Discrete Mathematics. My primary focus was to enhance their understanding and application of complex quantitative concepts through a blend of innovative teaching methodologies and personalized support.
Crafted and tailored course content that resonated with the diverse learning styles of students.
Designed and prepared comprehensive educational resources to facilitate deeper understanding of mathematical theories and applications.
Developed a series of intricate, interdisciplinary problems that not only challenged students intellectually but also fostered cross-disciplinary linkages. Moreover, I encouraged analytical thinking and problem-solving skills among students, guiding them to apply mathematical concepts in varied contexts.
Conducted regular office hours, offering one-on-one and group support, ensuring students received the assistance needed to excel and provided constructive feedback and strategies for improvement, contributing significantly to their academic growth.
Princeton, New Jersey, United States
Assist in the preparation and delivery of linear algebra lessons and lectures.
Provide support to students in understanding fundamental linear algebra concepts.
Assist with the development of problem sets and assignments related to linear algebra.
Offer guidance on solving linear systems, matrix operations, and vector spaces.
Provide one-on-one or small group assistance for students struggling with the material.
Assist in grading assignments and providing constructive feedback to students.
Foster a collaborative and interactive learning environment during classes.
Collaborate with the lead instructor to develop effective teaching strategies.
2023 — 2023
Led initiatives to encourage the use of RippleMatch among peers and within the university community.
Employed a mix of direct outreach, presentations, and digital communication to educate potential users about RippleMatch’s benefits.
Diligently worked towards meeting and often exceeding biweekly quotas for user sign-ups and engagement. Developed and implemented strategies to maximize conversions through personalized communication and follow-ups.
Actively engaged with new and potential users, providing guidance on how to effectively utilize the RippleMatch platform. Addressed queries and offered solutions to enhance user experience and satisfaction.
Monitored and tracked user sign-ups and engagement metrics. Regularly reported progress and insights during biweekly team meetings.
Collaborated with fellow interns and supervisors to share best practices and insights.
Participated in team meetings, contributing to the development of broader outreach strategies.
Education
Princeton University
Bachelor of Engineering - BE
Galileo Academy of Science and Technology