Darshan Waikar

Experience

• 

  Cerence Inc.

  Jan 2022 - Oct 2023

  Embedded Linux Systems Performance Management and Optimisation: • System Analysis and Profiling: Conducted detailed performance profiling using tools such as perf, ftrace, and oprofile to identify bottlenecks in CPU, memory, and I/O performance across embedded systems. • Optimization of Critical Software Components: Collaborated with cross-functional teams to optimize key components of embedded Linux systems, including kernel modules, device drivers, and user-space applications, to reduce latency and enhance throughput. • Memory Management: Leveraged techniques like memory pooling, custom memory allocators, and dynamic memory management to minimize memory footprint while preventing memory leaks and fragmentation, crucial for embedded systems with limited resources. • Power Efficiency: Implemented strategies for optimizing power consumption by fine-tuning CPU governors, leveraging idle states, and optimizing peripheral management to extend battery life in portable embedded devices. • System Tuning and Kernel Optimization: Tuned Linux kernel parameters, including process scheduling, interrupt handling, and file system optimizations to enhance overall system responsiveness and efficiency in real-time applications. • Real-Time Performance: Worked with real-time Linux patches and the PREEMPT-RT kernel to achieve deterministic response times for critical tasks in real-time embedded applications. • Testing and Validation: Designed and executed rigorous performance testing frameworks, using tools like stress-ng and sysbench, to ensure system stability and scalability under different load conditions. • Collaborative Optimization: Partnered with hardware teams to adjust system-level performance, ensuring software optimizations were well-aligned with the underlying hardware capabilities. Show less

  • Associate Software Engineering

    Jul 2022 - Oct 2023

  • Software Engineer Intern

    Jan 2022 - Jul 2022
• 

  Tata Consultancy Services

  Apr 2024 - now

  Software Engineer

  Backend Development & APIs: Designed and maintained scalable microservices and backend architectures, focusing on REST and GraphQL APIs to handle high concurrency and optimize data exchange for in-car applications, achieving a 20% increase in integration speed.CI/CD and Automation:Deployed CI/CD pipelines and blue/green deployment strategies to streamline development and ensure repeatable, error-minimized releases, supporting rapid iterationcycles.Voice Assistant Development: Spearheaded the development of in-car voice assistants with transformer-based models using TensorFlow Lite with Android, enhancing hands-free user experiences.Cross-Functional Collaboration:Worked closely with product and QA teams to define specifications and develop performance testing tools for in-car services, ensuring alignment with high standards of usability and robustness. Show less