Amrendra Pratap Singh

Working on a Python framework to validate Qualcomm Edge AI SDKs. Implemented automation solutions and continuous integration to ensure regular builds and real-time updates on Perforce changes, targeting specific enhancements. Implement Retrieval-Augmented Generation (RAG) for advanced AI-driven automation, including log analysis and generating new test cases specific to the project.

Implemented Rust-based tools for Bitcoin, such as a CRC generator and Bitcoin header tool, Bitcoin mining algorithm in Rust, enhancing data processing efficiency and streamlining workflows. Developed and validated high-performance Rust/C++ test content for Blockchain ASIC miners, ensuring efficiency and reliability across production cycles. Led a team of 4 engineers in the validation of ASIC miners, introducing automated testing procedures that significantly reduced time-to-market. Utilized Docker for test containerization and integrated Kubernetes to enhance scalability, resource management, and deployment efficiency. Contributed to internal AI/ML efforts by developing lightweight models to analyse debug logs and Jira tags, enabling automated referencing of similar past issues for faster and more accurate bug resolution.

Built advanced Python tools for hardware validation and debugging, enhancing efficiency and reliability. Designed a scalable Python test framework with GitHub CI/CD integration for automated testing. Applied machine learning to analyse Jira bug reports, providing insights into potential debugging trends.

Developed a real-time face recognition system using Python, DLib, and OpenCV, integrating live video feed processing for dynamic face identification. Trained and evaluated the model on a custom face dataset using deep metric learning with a pre-trained ResNet backbone, achieving high accuracy and robustness in real-world conditions.