Work Experience
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Latest Experience
Kubernetes
Software Engineering Intern at Two Sigma
Summer 2025
At Two Sigma, I developed and enhanced microservices within a Kubernetes environment, improving system reliability and scalability. I worked on building robust Java backend services and contributed to frontend development using AngularJS, resulting in improved user experience and data visualization capabilities.
Accomplishments:
During my internship at Two Sigma, I gained valuable experience working with enterprise-scale distributed systems in a fast-paced financial technology environment. I participated in agile development practices including daily stand-ups, sprint planning, and code reviews.
The internship provided me with deep insights into how modern financial technology firms leverage cutting-edge software engineering practices to maintain competitive advantage in data-driven trading strategies. I developed strong skills in designing scalable, reliable microservices and working effectively in a collaborative engineering culture.
- Designed and implemented a high-performance Java microservice for real-time financial data processing, resulting in a 30% reduction in data latency for critical trading operations.
- Orchestrated Kubernetes deployments for multiple services, improving system resilience and enabling zero-downtime deployments with automated rollback capabilities.
- Developed interactive data visualization components using AngularJS, enhancing the analytics dashboard used by quantitative researchers.
During my internship at Two Sigma, I gained valuable experience working with enterprise-scale distributed systems in a fast-paced financial technology environment. I participated in agile development practices including daily stand-ups, sprint planning, and code reviews.
The internship provided me with deep insights into how modern financial technology firms leverage cutting-edge software engineering practices to maintain competitive advantage in data-driven trading strategies. I developed strong skills in designing scalable, reliable microservices and working effectively in a collaborative engineering culture.
PyTorch
Hugging Face
ML Intern at Rebellions
Summer 2024
At Rebellions, I optimized machine learning models and accelerated inference performance by 46x using AWS EC2 infrastructure. I analyzed model architectures including Stable Diffusion XL Turbo, and researched CNN and Transformer designs to enhance AI acceleration across hardware and software domains.
Accomplishments:
During my internship at Rebellions, I thoroughly analyzed various machine learning frameworks and model architectures, benefiting from invaluable feedback and mentorship from seasoned industry practitioners. The internship enabled me to enhance my comprehension of AI acceleration in both hardware and software domains. I was able to make a positive impact on the company by conducting research, giving presentations, and implementing text-to-speech model architectures within specific compilation processes.
- Successfully compiled and optimized a custom designed VITS model architecture on Amazon EC2 Inf2 instance, reducing inference time from 4260.83 ms to 90.46 ms, resulting in 46.1 times more throughput.
- Rigorously analyzed the Stable Diffusion XL Turbo model and presented the model architecture, training process, inference process, and benchmarks.
- Researched CNN and Transformer model architectures to improve my understanding, allowing me to better analyze and optimize larger DNNs.
During my internship at Rebellions, I thoroughly analyzed various machine learning frameworks and model architectures, benefiting from invaluable feedback and mentorship from seasoned industry practitioners. The internship enabled me to enhance my comprehension of AI acceleration in both hardware and software domains. I was able to make a positive impact on the company by conducting research, giving presentations, and implementing text-to-speech model architectures within specific compilation processes.
TypeScript
Firebase
Software Developer at Cornell Digital Tech and Innovation
Spring 2024
Developer for CUApts, Cornell's off-campus housing website. I applied Agile development methodologies to improve UI/UX with React and TypeScript, enhanced back-end efficiency using Express.js and Firebase, and implemented features that reduced bug reports by 60% and increased user retention by 45%.
Developer for CUApts, a Cornell Housing Website to help students find off-campus housing.
Accomplishments:
Accomplishments:
- Agile Development, Version Control and Code Reviews: Led Agile development processes, completing weekly sprint tasks and reviewing pull requests, contributing to a 60% reduction in user bug reports.
- Cross-Team Collaboration: Worked with designers to improve UI/UX by making elements more interactive with scroll and hover styling using React and TypeScript, decreasing the site's bounce rate by 15%.
- Improved Back-End Efficiency: Implemented and rewrote RESTful APIs using Express.js to retrieve apartment information more efficiently from Firebase Cloud Firestore, reducing API response time by 14%.
- Improved User Retention: Implemented an email notification system, increasing user return rate by 45%.
- Add price and bedroom attributes to Firestore database script.
- Implemented new design, animations, and functionality for dropdown menus on the website.
- Sorting functionality for Apartments, allowing you to find apartments based on price, rating, number of reviews, and more.
- Designed and Implemented a Review Email System, notifying users when their reviews have been approved to thank users for their contributions to the platform. Designed the email's html and ensured compatibility across email platforms.
- Fixed UI inconsistencies across the website by communicating with the team's designers
- Revamped FAQ Page
- Landlord Redirect Button
- Google Maps Implementation
- Review Modal Redesign
- Apartment Images
- Contact Us Modal
To see more information about my past experience, check out my
page.
