Kamlesh K.

As a Compiler Engineer specializing in LLVM, MLIR, GCC, P4C, TensorFlow, and PyTorch toolchain development, I focus on creating advanced compiler technologies that enhance the software landscape across various domains. My work centers on pushing the limits of AI accelerators through MLIR and advancing cloud networking with the P4C compiler toolchain. My passion for innovation within the open-source community has driven me to contribute to the development of runtime libraries and the LLDB debugger. With a solid foundation in Linux and Object-Oriented Programming, I continuously strive to improve the capabilities of C/C++ standard libraries. Key Services Include: • Development and maintenance of RTOS and embedded systems. • Building and maintaining C/C++ libraries for ARM, ARM64, RISC-V, and x86 architectures. • Creation of C/C++ toolchains (GCC/LLVM) tailored for these architectures. • Implementation of custom backends for CPU, GPU, and AI accelerators using LLVM, MLIR, and machine learning frameworks (TensorFlow, PyTorch, TVM). • Development of the P4C compiler toolchain, LLDB debugger, and other related tools.