Shree Vijay Maskery

AI Researcher

Melbourne, Victoria, Australia6 yrs 3 mos experience

AI EnabledHighly Stable

Key Highlights

Over 6 years of experience in AI solutions.
Expertise in Computer Vision and Deep Learning.
Strong team leadership and project management skills.

Stackforce AI infers this person is a Computer Vision and Deep Learning expert in the Automotive and Technology sectors.

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Skills

Core Skills

Computer VisionDeep LearningMachine LearningObject DetectionImage ClassificationImage Segmentation

Other Skills

Critical ThinkingData ScienceEngineeringGenerative Adversarial Networks (GANs)KerasLeadershipMATLABManagementMatlabMicrosoft OfficeMicrosoft PowerPointOpenAI APIOpenAI ProductsProject ManagementPublic Speaking

About

Mantra - Practice, Patience, Perseverance For over 6 years, I have applied these principles to design, develop, and deploy advanced AI solutions, with a specialized focus on Computer Vision, Deep Learning and Machine Learning. My experience is in guiding projects through their full lifecycle, from concept to delivery, with a focus on building systems that are not only innovative but also efficient and scalable. I am passionate about leveraging technology to solve complex business problems and drive meaningful results. I believe that impactful work is a team effort. My experience leading a team of engineers and collaborating with cross-functional teams has taught me the importance of shared goals, strategic planning, and fostering an environment of continuous improvement. I'm open to connecting with fellow professionals who are passionate about technology and leadership. Let's explore how we can create something impactful together.

Experience

6 yrs 3 mos

Total Experience

2 yrs

Average Tenure

Current Experience

Switchon

Senior Computer Vision Engineer

May 2022 – Jun 2025 · 3 yrs 1 mo · On-site

1. Optimized surface inspection pipeline for complex defect detection, reducing training time by 10% and inference time by over 60% compared to state-of-the-art approaches.
2. Developed and implemented a custom defect scoring algorithm that significantly improved small defect detection while maintaining low inference times.
3. Designed and deployed a custom defect classification algorithm capable of classifying multiple defects and supporting unknown classes, supporting various custom deployments.

Computer VisionDeep LearningMachine LearningPythonProject Management

Flux auto

Deep Learning Engineer

Jul 2021 – Mar 2022 · 8 mos · Bengaluru, Karnataka, India

1. Worked on NVIDIA DRIVE AGX Pegasus for 2D and 3D object detection, integrating solutions with the ROS framework.
2. Built a keypoint detection pipeline utilizing ResNet and HRNet models.
3. Developed obstacle detection solutions using YOLOv5 on a custom dataset.

Deep LearningObject DetectionROS FrameworkPython

Emagesoft

Software Engineer

Jan 2019 – Jul 2021 · 2 yrs 6 mos · Bengaluru, Karnataka, India

1. Developed state-of-the-art image classification algorithms (Inception, ResNet, ResNext) on custom datasets.
2. Worked on object detection algorithms including YOLO, EfficientDet, and Tensorflow Object Detection API for small and complex defect detection on custom datasets.
3. Implemented image segmentation algorithms such as Mask RCNN and U-Net.
4. Deployed various models using Tensorflow Serving.

Image ClassificationObject DetectionImage SegmentationTensorFlow