Ing. Indrajit Paul

Camera module using ZedBoard or Zed Hardware. Skill Used: Xilinx ISE(14.7), Xilinx Vivado(18.2), Python. My Role: RTL Development using VHDL, Creating 3rd party IP(Intellectual property), crating IP Package.

As a hardware developer , I am responsible for design circuit and schematic design, Analog & Digital design, Board design & testing , Embedded system and microcontrollers programming, power supply design.

Currently I am self-employed active and interest to work in Germany as a FPGA Hardware Developer or FPGA Engineer.

My role as a Embedded Hardware Trainer. I was teached him about Embedded Hardware Design, Embedded C programming in Keil , Circuit design & Schematic Capture using Multisim & Ulti-board. Here i used SAMV71 ARM9 cortex micro controller ( As per my client demand).

Job Responsibility: As an Electronics Engineer my role is design both analog & digital electronics, embedded programming in C and develop a CAN protocol. Skills: PIC18F (micropropic C) Circuit design in NI Multisim CAN (NI Lab View)

Skill : Sensor used proximity sensor and counter sensor, programming used Embedded C, Hardware design Multisim, PCB design in Ultiboard, Microcontroller used PIC18F458. Application : In Industry, Biomedical, Automation industry, Aerospace etc. Result : Completed.

As Electronic Engineer, I was responsible for hardware design both as analogy and digital, PCB design and schematics capture and programming for automatic (Embedded C).

PC based multiple Sensor Control, Part #1 - Sensor Interfacing with Microcontroller P89VRD2BN/PIC18F45801. Skill: Sensor interfacing like Temperature, Pressure, Humidity, Proximity etc, programming used Embedded C, Hardware design Multisim, PCB design in Ultiboard, Microcontroller used PIC18F458/P89Vrd2BN. Application : In Industry, Biomedical, Automation industry, Aerospace etc. Result : Completed

Skill : IR Remote(Transmitter), IR receiver, programming used Embedded C, Hardware design Multisim, PCB design in Ultiboard, Microcontroller used PIC18F458/P89Vrd2BN. Application : In Industry, Home Automation etc. Result: Completed. Video: http://youtu.be/3_PIAkY-r38

A Simple Human Fingertip Identification Technique.

Microcontroller Analog Electronics Digital Electronics Control System Artificial Neural Network Embedded System C