Danish Masood
Shanghai
Summary
Machine Learning Engineer with a proven track record at AMD, specializing in AI-driven solutions and deep learning architectures. Expert in Python, C++ and Bash, I excel in optimizing model performance and enhancing software quality. Adept at collaboration and strategic guidance, I deliver impactful results in high-stakes environments.
Overview
8
8
years of professional experience
Work History
Application Test Engineer (Contractor)
AMD
Shanghai
02.2025 - Current
- Led ROCm testing on Linux: designed test plans, automated scripts in Python/Bash, and executed memory, stress, and benchmark tests using the ROCm Validation Suite (RVS).
- Served as an AI SME: drove adoption via strategic guidance, team training, and collaborative system implementations.
- Developed use cases for automatic debug/triage and test script generation AI tools to streamline error resolution and boost testing efficiency; independently built an AI-based code/MR review tool for automated quality assessments, feedback, and integration.
- Ensured software quality: collaborated on defect resolution, analyzed results for improvements, and tracked AI/Linux advancements.
Machine Learning Engineer (Remote)
Merit Inc
09.2023 - 06.2024
- Provide insights into data collection and annotation, and collaborate with the manager for data management and labeling.
- Segmentation: U-Net, RCNN, and Transformer models.
- OCR: Pre-trained OCR models and custom OCR models for Sam's Club.
- Write production and deployment code; optimize model performance, and inference speed.
Algorithm Engineer
Shandong ShidaSi Biological Industry Co., Ltd
LTD
06.2022 - 01.2023
- Curated diverse, high-quality microscopic image datasets to train deep learning models for bacterial strain identification and disease detection.
- Developed and optimized various deep learning architectures, including CNNs and transformers, to enhance model performance in collaboration with domain experts.
- Applied specialized models for different tasks:
- Object Detection: Utilized YOLOv7, and YOLOv8 to accurately detect objects in microscopic images.
- Image Classification: Implemented fine-tuned ResNet, VGGNet, EfficientNet etc. for effective image classification and detection.
- Bridged computer vision and biology by translating advanced research into practical, real-world solutions for healthcare.
Software Engineer
HAW Construction Company
06.2017 - 09.2019
- Development of machine learning models for optimizing the material usage
- Utilized LSTM and RNN models for time series data analysis to forecast material requirements and reduce wastage.
- Collaborate with other departments to develop practical solutions for reducing the construction material wastage.
Education
Master of Control Science and Engineering -
Shandong University
Jinan, China07.2022
Bachelor of Electrical Engineering - Electronics
National University of Computer & Emerging Sciences (FAST-NU)
Pakistan07.2015
Skills
- Programming languages: Python, C, Bash
- Machine learning frameworks: PyTorch, Keras, TensorFlow, OpenCV, PCL
- Deep learning architectures: CNN, Transformer, YOLOv7/v8, GAN, U-Net, RCNN
- Big data technologies: Spark, Hadoop, Hive, AWS, Azure
- Software tools: CUDA, ROCm, Kubernetes, Docker, Git
- Languages: English (proficient), Urdu (proficient), Punjabi (proficient), basic Chinese
Languages
English
Full Professional
Chinese (Mandarin)
Limited
Urdu
Native/ Bilingual
Timeline
Application Test Engineer (Contractor)
AMD
02.2025 - Current
Machine Learning Engineer (Remote)
Merit Inc
09.2023 - 06.2024
Algorithm Engineer
Shandong ShidaSi Biological Industry Co., Ltd
06.2022 - 01.2023
Software Engineer
HAW Construction Company
06.2017 - 09.2019
Master of Control Science and Engineering -
Shandong University
Bachelor of Electrical Engineering - Electronics
National University of Computer & Emerging Sciences (FAST-NU)