BioNym Consulting

About BioNym

Experience

As a highly motivated technologist inspired by challenges and having decades of working experience in the fields of Software Development, Machine Learning, Artificial Intelligence (AI), Data Analysis, System Architecture, DSP design, ASIC/FPGA architecture and development, I provide professional engineering consulting services in my fields of experience.

https://www.linkedin.com/in/maher-amer-597764/

Strength

Strong system level analysis, architecture, and design skills which span Software and Hardware, with special interest in understanding and resolving overall system performance bottlenecks. I am very passionate about DSP design and analysis; and I am very proficient with all ASIC/FPGA design flow from abstract to GDS. I led the design and architecture of a complex Virtual Memory Management Technology for Heterogeneous memory system, which involved the use and analysis of advanced techniques in Machine Learning, Artificial Intelligence (AI), Control System, and Data Science

Why BioNym?

BioNym is not engineering placement/contracting company. BioNym is a one person company providing On-Demand Professional Engineering Services in multiple areas of technology.

With broad knowledge and experience base covering Standard technologies, Wireless systems, SerDes design, Memory sub-system architecture, Software development, Data Science, and DSP theory and implementation I believe I can be a strong asset to your team. I look forward to having the opportunity to further discuss how I can help your organization.

Please contact BioNym for more information

What BioNym Can Do

Digital Signal Processing (DSP) Analysis and Architecture

MatLab analysis of complex DSP blocks and algorithms
Translating and optimizing complex DSP blocks and algorithms into ASIC/FPGA architecture
End to End modeling of DSP designs and algorithms for Wireless and SerDes applications
OFDM technology Baseband and RF signal modeling and analysis
Full SerDes Receiver Architecture: Decision Feedback Equalizer (DFE) design and analysis, FFE, DFFE, Adaptation
SerDes Clock/Data Recovery (CDR) algorithm design and analysis
Strong Communication Theory background combined with years of implementation experience is key to achieving optimum DSP products and technologies.

Control System Design

From dynamic circuit calibration algorithms, to adaptive channel compensation algorithm, to memory caching/tiering and prediction algorithms, Control Systems design is key to optimizing performance, cost and resources of the overall system architecture.
Being key driver and contributor to the definition of many complex systems in mixed signal chips, wireless systems, and server memory architecture, my control system design can be very relevant when analyzing and designing complex systems in various industries and technologies.

Executive Level Technical Leadership

introducing new product ideas and innovative technologies to the market
Knowing what it takes to drive innovative technologies from concept to product requires deep understanding of the technology combined with practical knowledge of how to take it to market.
Key driver and contributor to Diablo proprietary Load Reduction technology
Key driver and contributor to Diablo Memory Channel Storage (MCS) technology
Key driver and contributor to Diablo Memory1 technology
Patent Analysis and Intellectual Property (IP) strategy

All ASIC/FPGA Aspects, Specifically Mixed Signal Timing Analysis Planning and Architecture

With more advanced chips being developed, planning chip top level timing analysis is key to meeting development schedule as well as achieving first time working ASICs
Challenges like custom analog blocks, semi-custom digital design, etc., can be challenging to close timing if not properly planned ahead of time.
Having gone through many challenging mixed signal designs and ASICs, my knowledge and experience in planning full chip timing analysis can save very precious time during final stages of chip tapeout

Enterprise Storage and Memory SW and HW Architecture

Data centers have unique storage and memory requirements. Understanding the type of workload/applications and various available SW/HW technologies are key to achieving optimum performance/cost point.
With multiple years in the research/development of SW/HW in the area of enterprise storage and memory architecture, I developed the skills required to deliver unique solutions in that area

Machine Learning, Data Science, and Artificial Intelligence (AI)

Design and definition of Learning Algorithms for Virtual Memory Expansion technology
Advanced statistical based prediction algorithms definition using data profiling and pattern recognition technics
Advanced multi-stage adaptive caching algorithm definition
Adaptive control system to track varying workloads