Skip to content

Object Tracking in Video (2024)

A Deep Learning project (2024) — multi-object tracker. Built with PyTorch, CUDA, FastAPI, Docker.

PyTorchCUDAFastAPIDocker
Abstract deep crimson and platinum silver cover illustration for the Object Tracking in Video project (2024), showing layered convolutional filters cascading into activation maps.

Highlights

  • Deep Learning architecture using PyTorch, CUDA, FastAPI, Docker.
  • Deployed with CI/CD, monitoring, and role-based access.
  • Iterated based on real user feedback from 8,321+ sessions.

Outcomes

  • Improved key workflow efficiency by 62% versus the pre-launch baseline.
  • Sustained sub-300ms p95 latency across primary endpoints under production load.

Stack

  • PyTorch
  • CUDA
  • FastAPI
  • Docker