Daniil Troshkov Email & Phone Number

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

• Firmware development of drone tracker for Thingy91 Nordic IoT device with Zephyr run time OS (RTOS) fully secured with Chain of Trust, TF-M and trusted firmware. Updated TLS to 1.3 version in Nordic infra. U-Blox NEO.
• SELinux version update and drivers’ debug. Update Linux version from 5.15 to 6.1 and build system from Buildroot to Nix Flakes. Drivers’ peripheral debug… Show more
• SELinux version update and drivers’ debug. Update Linux version from 5.15 to 6.1 and build system from Buildroot to Nix Flakes. Drivers’ peripheral debug after update, e.g. PCI, USB, tethering, I2C, UART, SPI, NRC7292..
• MDM client-server Mesh dynamic initialization and configuration. Zeroconf and NATS connection with events driven multithreading configuration processing on device side and appropriate modification of server side.
• ZYMKEY bring up and testing for target device based on Raspberry Pi Compute Module 4 (CM4). Integration zk-libraries (Zymkey module) to customer specific SELinux hardened OS image.
• PXE and U-boot net boot integration for target device based on CM4 with SELinux hardened OS. Scripts for multi PXE boot/U-boot net boot for multiple target devices for testing and fast development of new OS images..

Montreal, Quebec, Canada

- Optimization of neural networks from domain specific language (DSL) AI compiler perspectives, which means analysis of neural network structures, development and implementation of algorithms for AI compiler optimizations. In particular, I performed support and development of the open-source Apache TVM machine learning compiler framework for CPUs, GPUs.

Developed a C/C++ cross compiler in order to improve performance of Computer Vision and Machine Learning applications. The LLVM based C/C++(clang/clang++) compiler was ported from scratch to our Digital Signal Processor (DSP) target. C(newlib), C++ (libcxx) libraries and run time libraries were also ported. The solution is a cross platform compiler which.

Ported the binary compiler. Soft Machines company developed a dynamic binary compiler from ARM target to the Soft Machines CPU (SMI) in order to make the CPU compatible with ARM (ARM-SMI). As a Senior Developer I ran an outstanding project on porting the binary compiler (ARM-SMI) to x86 (x86-SMI). Used QEMU for the automatic comparison of traces and.

Developed and maintained proprietary embedded binary compiler and compiler optimizations for the Elbrus CPU (from x86). Improved performance through conventional optimizations and target specific ones for Elbrus.

Developed a platform for combining data derived from disparate data sources to empower corporate management with accurate, actionable, and consistent information and to facilitate various consolidated reporting (software for banking industry). Contributed to the development of high quality reliable solutions for the needs of computationally challenging.