Computer Vision Algorithm Engineer Resume - Dr. Lisa Wang

Professional resume for Computer Vision Algorithm Engineer with deep learning expertise.

Dr. Lisa Wang

+1 (555) 890-1234 lisa.wang@email.com 8years Birth Date: 1990-12-03 female

Job Intention

Desired Position	Computer Vision Algorithm Engineer
Expected Salary	$180,000 - $220,000
City	Palo Alto, CA

Self Evaluation

Research-focused computer vision engineer with 8 years of experience in deep learning and image recognition. Published 12 papers at CVPR, ICCV, and ECCV. Expert in PyTorch, TensorFlow, and CNN architectures. Developed production systems processing 100M+ images daily.

Work Experience

Autonomous Vehicles Inc.

2020-06

Department: AI Research

Senior Computer Vision Engineer

Lead perception algorithms for self-driving cars using multi-camera fusion. Improved object detection accuracy by 35% using custom YOLOv7 architecture. Reduced inference latency from 100ms to 25ms enabling real-time processing at 60fps.

Facial Recognition Tech

2017-08 - 2020-05

Department: Machine Learning

Computer Vision Engineer

Developed facial recognition system achieving 99.8% accuracy on LFW benchmark. Implemented liveness detection preventing spoofing attacks. Deployed models to edge devices using TensorRT and OpenVINO.

Microsoft Research Asia

2015-06 - 2017-07

Department: Research Lab

Research Intern

Conducted research on image segmentation and object detection. Published 3 first-author papers at top-tier conferences. Collaborated with product teams on Azure Computer Vision API.

Project Experience

3D Object Detection for Autonomous Vehicles

2023-01 - 2023-08

Algorithm Lead

Developed multi-modal 3D object detection system for autonomous driving.

Responsibility Sensor fusion, network architecture, training strategy, deployment optimization.

Achievement Won 1st place at CVPR Workshop Challenge. Improved mAP by 18% over baseline.

Visual Quality Inspection System

2022-03 - 2022-10

Senior CV Engineer

Built anomaly detection system for manufacturing quality control.

Responsibility Defect detection, few-shot learning, production deployment.

Achievement Reduced false positive rate by 90%. Deployed to 50K+ cameras worldwide.

Education

MIT

2013-09 - 2017-06

Doctor of Philosophy (Ph.D.) , Computer Vision

GPA: 4.0/4.0. Thesis: Deep Learning for Object Detection and Recognition.

Tsinghua University

2009-09 - 2013-05

Bachelor of Science , Computer Science

GPA: 3.9/4.0. Outstanding Graduate.

Skills

Deep Learning (PyTorch, TensorFlow) Object Detection (YOLO, Faster R-CNN) Image Segmentation (Mask R-CNN, U-Net) CNN Architectures (ResNet, EfficientNet) Model Optimization (TensorRT, ONNX) Python/C++/CUDA

Certificates

2023-06

Deep learning specialization

2022-09

NVIDIA certification

Highlights

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Template Info

RegionUS

Categoryinternet

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