Winter Guerra is a Team Lead in Applied AI with 15 years of experience building production-grade computer vision, robotics, and ML infrastructure from research prototypes to deployed pipelines. An MIT MEng in EE/CS, she has driven measurable gains—improving model recall, shrinking embedding search spaces, and dramatically cutting training time—by combining GPU-accelerated Kubernetes pipelines with novel deep-learning methods. She led R&D and deployment of a 3D robotic ML perception pipeline and gigapixel insect-identification system at Oishii, and previously architected large-scale image training and inference stacks at SRI International. Winter pairs hands-on systems engineering (Python, C/C++, PyTorch, TensorFlow, Docker, Kubernetes, AWS) with people leadership, coaching cross-functional teams to operationalize research. Her portfolio includes patents in AI-driven augmented reality mentoring and vertical farming systems, reflecting an appetite for applying AI to diverse, real-world problems. Based in New York, she blends academic rigor with pragmatic product delivery and an unusual depth in both UAV visual state estimation and scalable ML infrastructure.
15 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Robotics and EE/CS, Master of Engineering - MEng Robotics and EE/CS at Massachusetts Institute of Technology
High School Degree, High School Degree at Saint Ann's School
A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT AERA group.
Contributions:17 releases, 245 commits, 1 PR in 3 years
flightflight-simulationroboticsagilesimulation
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Winter Guerra - Team Lead - Applied AI at Millennium