Ankit Chauhan

- Languages: C, C++, Assembly (ARM/x86) - Kernel & OS: Linux Kernel, FreeBSD, RTOS (Zephyr, QNX) - Firmware & Bootloaders: U-Boot, Coreboot, Secure Boot - Networking: DPDK, eBPF, Netfilter, XDP - Virtualization: KVM, Xen, QEMU, Docker, Kubernetes - Debugging Tools: gdb, perf, ftrace, Valgrind, strace

Designed and optimized high-performance Linux device drivers for PCIe, USB, I2C, SPI, DMA, enhancing system efficiency. Reduced kernel boot time by 40% through Secure Boot & U-Boot optimizations for ARM/x86 SoCs, improving startup speed. Enhanced real-time performance by 30%, fine-tuning scheduler algorithms and memory management, boosting system responsiveness. Contributed key patches to the Linux Kernel upstream, enhancing driver stability, security, and feature sets.

Designed and developed an application using C and C++ for an online-learning platform. Implemented data collection and analysis pipelines, leveraging Excel for data processing and reporting. Optimized performance and memory usage, ensuring efficient execution of the platform’s backend logic. Worked closely with founders, engineers, and data teams to refine and enhance system capabilities. Led the Berlin office setup and team building, driving technical development and launch of the product.

Redesigned and optimized the KRUSE Sicherheitssysteme GmbH & Co. KG website using WordPress and Foundation framework for enhanced security and performance. Developed and deployed a high-performance LUFTHANSA JetFriends website, utilizing HTML5, CSS3, and JavaScript for a seamless user experience. Improved front-end performance, reducing page load time by 30%, ensuring a responsive and dynamic UI/UX. Collaborated with UI/UX designers and backend teams, integrating APIs for real-time content updates.

Developed and optimized core platform components for enterprise-grade Oracle Service Bus, WebLogic Portal, and WebLogic Integration. Worked on OS-level performance tuning, focusing on C, C++, and Java within Linux Kernel environments. Enhanced application server stability and security, integrating kernel debugging tools to analyze memory leaks, performance bottlenecks, and system crashes. Implemented scalable web services, ensuring high availability for enterprise cloud-based middleware solutions.

PTP-1588 Master-Slave implementationPTP-1588 Master-Slave implementation Oct 2015 - Jun 2016 SKILLS - Languages: C, C++, Assembly (ARM/x86) - Kernel & OS: Linux Kernel, FreeBSD, RTOS (Zephyr, QNX) - Firmware & Bootloaders: U-Boot, Coreboot, Secure Boot - Networking: DPDK, eBPF, Netfilter, XDP - Virtualization: KVM, Xen, QEMU, Docker, Kubernetes - Debugging Tools: gdb, perf, ftrace, Valgrind, strace

The Steiner Tree optimisation problem The Steiner Tree Problem is known to be NP-hard, which means that it is unlikely that there is an efficient algorithm that can solve the problem for large instances. However, there are several approximation algorithms that can provide a suboptimal solution with a guarantee on the quality of the solution.