Fall 2026

Google Core SignalService

Summer 2026

Suppliers

Leading Cornell's largest student-run data science organization of 60+ members.

GitDistributed (Fall '25)

• Led team of 8 to build a distributed Git service in C++, supporting the 5 most common Git commands

• Replicated the remote Git repository using the Primary-Backup model, tolerating 50% of server failures

• Implemented TCP/IP networking via sockets and multithreading, allowing concurrent connections to 3+ other servers

• Developed serialization schemes over 6 message types, using multithreaded timers for realtime server health monitoring

Quantization on Edge (Spring '25)

• Led 6 teammates to quantize CNN model in Python and benchmark results when deployed to Jetson Nano device

• Implemented dynamic and static post-training quantization, reducing model size 4x while retaining 98% accuracy

• Developed model compilation pass with ONNX to insert custom fused operators, speeding up inference by ~50%

• Designed pipeline to extract, quantize, and load model parameters, allowing for streamlined project development

In-Memory Database (Fall '24)

Developed a C++ TCP server, supporting 9 in-memory database operations using the Redis serialization protocol.

PocketML (Spring '24)

Built a mobile app to track ML model training metrics using Wandb, FastAPI, and SwiftUI alongside a team of 12.