Lathif Sharieff
Bis 2023, Deep Learning Hardware (RTL), Bosch Center for Artificial Intelligence
Student, Masters of Science (Embedded systems), Albert-Ludwigs-Universität Freiburg
Stuttgart, Deutschland
Über mich
Motivated and ambitious Embedded Systems Engineering master’s student with hands-on experience in various projects involving FPGA and microcontroller architecture, toolchain, and design flow. Solid understanding of AI hardware design principles. Inquisitive about neural and deep learning hardware. Actively looking for Master's Thesis. Skillsets • Programming Languages: Verilog, System Verilog, VHDL, C, Python. • Tools & IDEs : Vivado, Quartus prime, ISE design suite, Modelsim, iCEcube, PyCharm, Arduino. Special Interests: Machine Learning hardware, Hardware accelerators, Neural Engines.
Werdegang
Berufserfahrung von Lathif Sharieff
6 Monate, Okt. 2022 - März 2023
Deep Learning Hardware (RTL)
Bosch Center for Artificial Intelligence
• Assisted in the development and implementation of the RTL design and architecture for NCE • Implemented state-of-the-art interconnection bus interfaces (AXI4) • Executed RTL simulation of the previously developed AI IP, CESARIA • Contributed to the micro-architecture design of AI IP, utilizing domain knowledge of AI accelerators • Conducted extensive research and analysis of AI HW accelerator papers, applying insights gained from these studies to refine the development of the company’s AI IP.
1 Jahr und 1 Monat, Sep. 2021 - Sep. 2022
Research Assistant
Universität Freiburg, IMTEK
• Developed an electro-chemical sensor system with the LPC1343 kit (Arm Cortex M3 microcontroller) and tested various metal samples for cyclic voltammetry. • Engineered new 3D printing methodologies and structures for Tactile display and tested the structure in different environments using Arduino. • The final results were evaluated using HTerm and the results were analyzed using Origin.
2 Monate, Juli 2019 - Aug. 2019
Intern
Texas Instruments
1. Trained in MSP430 and ARM Cortex M4. 2. Configured embedded web server and cloud communication.1. Trained in MSP430 and ARM Cortex M4. 2. Configured embedded web server and cloud communication. Skills: Embedded Systems · MSP430 · Internet of Things (IoT)
3 Monate, Juni 2018 - Aug. 2018
Intern
Chloros Technologies
Skills: Artificial Intelligence (AI) · Artificial Neural Networks · TinyML
Ausbildung von Lathif Sharieff
Bis heute 3 Jahre und 3 Monate, seit Apr. 2021
Masters of Science (Embedded systems)
Albert-Ludwigs-Universität Freiburg
Sprachen
Englisch
Fließend
Deutsch
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