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Member since September 5, 2018
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Agnar Consulting specializes in providing Engineering solutions. We are well experienced in Python scripting, specially in Web Scraping. In addition, we provide solutions with C/C++ as well. In the Digital Electronics domain we provide services in designing digital system for FPGAs based on VHDL/Verilog, using Xilinx/Altera tools based on requirements. In the Mechanical engineering domain we provide services in Mechatronics/ Robotics solutions based on python/C++/Arduino, CAD solutions on solidworks. Apart from that, BioMedical engineering solutions based on MATLAB and python are also provided.
$28 USD/hr
7 reviews
  • 100%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • 20%Repeat Hire Rate


Recent Reviews


Radar data acquisition through LVDS in Avnet Ultra96 - VHDL

Apr 2019 - May 2019 (1 month)

Radar data from TI's IWR1642 development board acquired through the High Speed ports of the Zynq Ultrascale+ MPsoC in the Ultra96 board. The data transfer protocol used is LVDS.

1-Wire Device controller for TEDS - VHDL

Oct 2018 - Nov 2018 (1 month)

A controller to act as master to read a set of 1-wire PROM devices for TEDS data. The data is collected and forwarded to software

Multi-threaded application on a system with 32 processor cores - C++

Apr 2018 - Jun 2018 (2 months)

An arcade game was implemented on a 32-core processor real-time system that was deployed on a Virtex 7 FPGA, which worked at 60 fps.

32-bit processor - VHDL

Mar 2018 - Apr 2018 (1 month)

A processor for a subset of MIPS ISA which was tested using assembly programs

Machine code instruction verifier - Python

Jan 2017 - Feb 2017 (1 month)

A Python based program to verify a tool-generated machine code against an assembly instruction schedule.

Network packet classfier - Verilog

Jan 2017 - Mar 2017 (2 months)

An FPGA based module to classify network packets based on header details, which was capable of handling a link at 10 Gbps in real time.

FPGA based Network Security Engine - Verilog

Aug 2015 - Apr 2016 (8 months)

The Network Intrusion Prevention System (NIPS) was made to be able to process a subset of the open source Snort rule set for detecting known network attacks. It was capable of analyzing a link at 1 Gbps in real time.


IELTS (2018)

Overall Band Score: 8.5