
Muhammad Jazib Khan
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Muhammad Jazib Khan
- Lead/Owner of the complete digital design and RTL implementation and verification flow for a Neuromorphic mixed signal chip under project ANDANTE (https://www.andante-ai.eu/) - Important keywords: Data path, Control Path, FSM, SPI, Network on Chip, SRAMs, Custom Instruction Set Architecture, Configuration Bus, Data reuse, Convolution Neural Networks etc.
Innovative design and hardware implementation of a Programmable Address Generation Unit for Deep Neural Network accelerator. - Algorithm design for the address pattern generation of input, filter weight and output for CNNs. - Design space exploration for the implementation of these algorithms in hardware to generate three addresses per cycle. - Micro-architecture design and ISA design of the opted VLIW ASIP based approach. - System Verilog based implementation of the complete processor architecture.
- Exploring different ASIC and FPGA based hardware accelerators for Deep Learning and understanding the working of DNN accelerators specifically used in semantic segmentation for autonomous driving. - Modeling and simulation of DNN accelerators in Synopsys Platform Architect Ultra. - Development of a trans-compiler framework to generate .tcl code from python to automate the modeling of accelerators in Synopsys Platform Architect Ultra.
- 2 Jahre und 10 Monate, Sep. 2014 - Juni 2017
Co-Founder & CTO
CricFlex
I co-founded CricFlex and took it to heights that very few Pakistani startups have yet achieved. Cricflex bagged more than 10 national and international recognitions. • Determining technological milestones, when and where to invest time and resources in technical tasks. • Preparing for and delivering investor and competition pitches and presentations. • Hands-on experience in Embedded system design and firmware development.
Ausbildung von Muhammad Jazib Khan
- 1 Jahr und 7 Monate, Aug. 2018 - Feb. 2020
Electrical and Computer Engineering
KTH Royal Institute of Technology
Digital Design with HDL Embedded Hardware Design in ASIC and FPGA Embedded Many-Core Architectures ICT Innovation
- 2 Jahre und 5 Monate, Okt. 2017 - Feb. 2020
Electronic and Computer Engineering
Technische Universität Berlin
Advanced Computer Architecture Analysis and Optimization of Embedded Systems Applied Embedded Systems Project Quality Assurance of Embedded Systems Strategic Management
Sprachen
Englisch
Fließend
Urdu
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