Lathif Sharieff

As a driven and accomplished Embedded Systems Engineer with a specialized focus on Digital Design and RTL design, I bring a wealth of skills and enthusiasm in FPGA design and Hardware-Software Codesign. My career is distinguished by diverse internships and hands-on projects that have honed my skills and provided me with a deep understanding of AI hardware and domain-specific architecture principles.

💻 Programming Languages: Verilog, Python, SystemVerilog, VHDL, C
🛠️ Tools & IDEs: Vivado, ModelSim, Quartus, ISE Design Suite, iCEcube, PyCharm, Arduino
🌟 Special Interests: Hardware-Software Co-Design, Hardware Accelerators, Neural Engines

My journey in embedded systems is characterized by a relentless pursuit of innovation and excellence. From designing high-performance FPGAs to integrating AI capabilities into hardware, I have consistently delivered solutions that push the boundaries of technology. My passion lies in transforming complex concepts into tangible, high-impact results, making me a valuable asset to any forward-thinking team.

I am eager to leverage my skills and experience to contribute to cutting-edge projects and collaborate with industry leaders. Let's connect and explore how we can drive technological advancements together.

Throughout my career, I have focused on advancing digital hardware design and RTL development, particularly in AI and embedded systems. At Bosch Center for Artificial Intelligence (BCAI), I contributed significantly to developing a Neural Computing Engine (NCE) IP, designing RTL architectures and integrating advanced bus interfaces. At Gemesys, as a Hardware Engineer for AI, I specialized in low-power AI chip development using FPGA platforms and Verilog HDL for neural network implementations.

My experience includes projects at the University of Tuebingen and IMTEK, University of Freiburg, where I enhanced skills in digital signal processing and embedded systems. At IMTEK, I led initiatives in sensor system design and 3D tactile displays, applying expertise in embedded development tools. Interning at Texas Instruments deepened my understanding of microcontrollers and IoT applications.

Overall, I bring a robust background in digital IC design, FPGA prototyping, and deep learning hardware. My career underscores a commitment to advancing hardware-centric solutions in AI and ML technologies.

I hold a Master of Science in Embedded Systems Engineering from the University of Freiburg (2021-2023), where I focused on coursework in Computer Architecture (RISC-V), Foundations of AI, Verification of Digital Circuits, Hardware Security and Testing (DFT), Cyber-Physical Systems, and RF Hardware Design. Prior to this, I completed a Bachelor of Engineering in Electronics and Telecommunications at Visvesvaraya Technological University (2016-2020), covering Digital System Design, HDL Programming, VLSI Design, Embedded Systems, DSP, Wireless Communication, IoT, and Cryptography among other relevant subjects.