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Ester B.
Bio
Driven and adaptable software engineer with strong analytical, creative, and teamwork skills.
Skills
Python
C++
C
ONNX
PyTorch
onnx runtime pybind11 netron
Bootcamp Project
Deep debugging and kernel-level contributions to ONNX Runtime
Mentored by: Mobileye
Embedded Systems Bootcamp 2025 (Embedded)
Responsibilities:
• Analyzed and experimented with model optimization techniques for Edge AI deployment, focusing on performance profiling and parameter tuning (e.g., batch size, CPU vs. GPU latency, and throughput).
• Applied Quantization, Pruning, and Knowledge Distillation to optimize cutting-edge models (e.g., YOLOv8, LPRNet, BLIP-2, LLaMA 2, MNIST) for improved inference performance on constrained devices
• Gained hands-on experience with leading AI frameworks including ONNX Runtime and OpenVINO, performing profiling, compilation, and ad-hoc optimization to maximize inference performance.
• Collaborated within the Inference Optimization Team to connect model-level insights with infrastructure-level execution improvements.
• Explored, debugged, and tested the ONNX Runtime C++ codebase, adding unit tests to deepen understanding of core operators and to analyze reported issues in the open-source repository
Click to enlarge
Additional Projects
03/2025 | Flower Ordering & Management System (Node.js, MongoDB, React, Redux)
Developed a full-stack system for managing flower design orders, including secure user registration, authentication, design selection, and order-status tracking. Built the backend using Node.js with a MongoDB Atlas database and JWT-based authentication. Created a responsive, permission-aware frontend using React and Redux Toolkit, including pagination and dynamic navigation
English Level
Working Proficiency