We are hiring Full stack developers, pls send your resume to resume@qtiminds.com
The Services
Android and Kernel Upgrade
System Test
Memory Product dev and test
AI/Ml Based Solutions
Full Stack Development
Cross Platform App Development
QTISVS
Sectors
Mobile
XR
IoT
Auto
Compute
Android and Kernel Upgrade Services
Android Upgrade
Kernel Upgrade
Expertise in executing e2e project for Android Upgrade for Mobile, XR, and IIOT devices including development, integration, test and delivery.
Expertise in executing e2e project for Kernel Upgrade for Mobile, XR, and IIOT devices including development, integration, test and delivery.
System Test Services
Expertise to run Google's Monkey Testing and other stability test suits to uncover potential system vulnerabilities. Our smart parser reduces manual efforts to dissect the logs to reach to the root of the issue.
CTS
Expertise in performing continuous integration testing at various gates of Pre-merge and post-merge of software changes to the build and generating reports thru automation.
Expertise in running various Benchmarks and Launch latencies to do performance testing.
Expertise in doing power testing, measuring battery power as well as Rail level power consumption to clearly calculate and display DOU.
Power
Expertise in IOT testing for peripherals for Windows based laptops.
Expertise in UI and app testing, both manual and automated testing.
Performance
Stability
Functional
Google's Compatibility Test Suite is essential for verifying device compatibility and adherence to Android standards. We have expertise in running CTS and delivering the report in <48hrs using tradefed solution.
Interoperability
Expertise in performing manual and automated functional testing for Android based devices covering Kernel, Security, Android Core, Audio, display, Camera, Sensors, Gfx, Storage, USB, Telephony, Power and Performance for Mobile, XR, IoT, Auto and compute.
CI
Ui & 3rd party App
Full Stack Development Services
Expertise
Frameworks and Libraries: Experience with TensorFlow, PyTorch, Keras, and OpenCV.
Mobile Development: Android (Java/Kotlin).
Edge AI: Emphasize knowledge of deploying AI models on Qualcomm edge devices.
Virtual Assistants and Chat bots
Automated Clinical Documentation
Image enhancements and analysis
Expertise
Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or Keras.
Natural Language Processing (NLP): Expertise in text generation models.
Computer Vision: Image or video generation.
Data Preprocessing: Data augmentation or normalization techniques
Expertise
Frameworks and Libraries: Experience with scikit-learn.
Cross Validation: Validate model performance across different data splits.
Hyperparameter Tuning: Optimize model hyperparameters to achieve better results.
Domain Specific Context: Comparative study influencing the model selection for the specific usecase.
Ensuring the reliability and effectiveness of the ML Models
Comparative study of different ML models
Image Recognition Classification
Personalized AI assistance
Gaming and Augmented reality
Security and Piracy
AI/ML Based Services
