I am a Software Engineer and MS in AI Systems student at the University of Florida, specializing in the development of high-performance, production-grade Machine Learning and Computer Vision systems.

With 2.5+ years of professional engineering experience, I have transitioned from architecting complex distributed systems to focusing on the full-lifecycle engineering of Intelligent Systems. I treat model development as more than just an academic exercise; I focus on the engineering required to move a model from a research notebook into a robust, scalable, and real-time environment.

• Computer Vision (CV): Architecting real-time inference pipelines using YOLO and MediaPipe for high-frequency spatial tracking and object detection.
• ML Engineering (MLE): Designing end-to-end pipelines that bridge the gap between model training in PyTorch and high-throughput, low-latency deployment.
• System Reliability: Leveraging a deep background in low-latency communication and secure infrastructures to build AI systems that are both performant and reliable under production loads.

idge the gap between theory and implementation by applying core mathematical principles to my engineering workflows:

• Optimization: Minimizing loss functions via Gradient Descent: $$\theta_{t+1} = \theta_t - \eta \nabla J(\theta_t)$$

• Neural Networks: Computing layer activations: $$a^{(l)} = \sigma(W^{(l)}a^{(l-1)} + b^{(l)})$$

Languages

AI / ML / Data Science

Mobile & Frontend Development

Backend & Infrastructure

Observability, Testing & DevOps

Tools & IDEs

Gainesville, Florida, USA · satyabradas@ufl.edu · +1 786 636 5501 ·