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Arijit Bhattacharjee Email & Phone Number

Graphics Hardware Engineer at Intel Corporation at Intel Corporation
Location: San Jose, California, United States 4 work roles 2 schools
1 work email found @intel.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email a****@intel.com
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Current company
Role
Graphics Hardware Engineer at Intel Corporation
Location
San Jose, California, United States
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Who is Arijit Bhattacharjee? Overview

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Quick answer

Arijit Bhattacharjee is listed as Graphics Hardware Engineer at Intel Corporation at Intel Corporation, a with 10 employees, based in San Jose, California, United States. AeroLeads shows a work email signal at intel.com and a matched LinkedIn profile for Arijit Bhattacharjee.

Arijit Bhattacharjee previously worked as Graphics Hardware Engineer at Intel Corporation and Teaching Associate (TA) at San Jose State University. Arijit Bhattacharjee holds Master Of Science (Ms), Electrical Engineering from San José State University.

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Email format at Intel Corporation

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{first}.{last}@intel.com
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Profile bio

About Arijit Bhattacharjee

Digital VLSI design and UVM Verification / Embedded SoC Design/ Embedded System design/ Deep Learning / HPC.SKILLS:• Register Transfer Level (RTL) coding• Design Verification using UVM• Static Timing Analysis (STA)• Computer Architecture (MIPS, ARM Instruction Set Architecture, Pipelining, Super-Scalar Architecture)• FPGA Prototyping and Design Flow• Synthesis and Functional Verification• Standard cell-based VLSI methodology• Object Oriented Programming (OOP)• Deep Learning, Computer Vision• Parallel Computing / HPC• Heterogeneous Computing• Digital Signal Processing (DSP)Programming and Hardware Descriptive Languages (HDL):• Verilog• SystemVerilog• C/C++• MATLAB• Unix Shell Scripting• Tcl, Perl ScriptingSoftware and EDA Tools:• Synopsys VCS, Design Compiler and Design Vision• Intel OpenCL SDK for FPGA• Cadence NCVERILOG• Xilinx ISE, Vivado HLS, SDSoC• Altera Quartus Prime, ModelSimDeep Learning Frameworks and Tools:• Anaconda with Python 3.6• Tensorflow• Scikit- Learn• CUDAParallel Computing:• OpenCL• OpenMP• OpenACC• MPIBus Protocols• AHB, AMBA, AXI, APB• I2C, CAN• Network on Chip (NoC)• SPI• PCIeProficient with UNIX SYSTEMS, LINUX OS AND WINDOWS OSFPGA Development Boards:• Xilinx ZYNQ-7000 (ZYBO)• Xilinx Nexys 4 DDR, Artix-7• Altera DE1 SoC

Listed skills include Verilog, Systemverilog, C/C++, Rtl Design, and 45 others.

Current workplace

Arijit Bhattacharjee's current company

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Intel Corporation
Intel Corporation
Graphics Hardware Engineer at Intel Corporation
(408) 765-8080
Website
Employees
10
AeroLeads page
4 roles

Arijit Bhattacharjee work experience

A career timeline built from the work history available for this profile.

Graphics Hardware Engineer

Current

Santa Clara, California, Us

Jul 2018 - Present

Teaching Associate (Ta)

San Jose, Ca, Us

• Delivering lectures and supervising lab experiments for the undergraduate lab course ‘Digital Logic Design’ (EE 118-Lab) handling 22 students. • Trained my students on FPGA design flow using Verilog RTL on Xilinx ISE on Artix-7 FPGA.

Aug 2017 - May 2018

Graduate Student

San Jose, Ca, Us

ACCELERATING DEEP NEURAL NETWORKS ON FPGA USING OpenCL | San Jose State University, (Dec 2017 - Present)• MS Research Project• Designed OpenCL kernels for calculating the 2D convolution in Frequency domain using the FFT / IFFT algorithm and optimized the kernels for minimizing resource utilization for a FPGA implementation using Bit-Accurate representation.• Skills used: C/C++, OpenCL, Intel OpenCL SDK for FPGA, Embedded platform bring up, Deep neural network, Linux Shell scriptingACCELERATING SOBEL FILTER ON ZYBO FPGA USING OpenCV AND OpenMP | San Jose State University, (Dec 2017- Present)• Created an Embedded Linux platform on a Zynq-7000 FPGA with Xillybus IP core.• Leveraged OpenMP directives to accelerate Sobel filter algorithm on Dual-Core ARM A9.• Skills used: C/C++, OpenMP, OpenCV, Embedded Linux, Xilinx Vivado, Sobel filtering, Bash shell scripting CONVOLUTIONAL NEURAL NETWORK FOR IMAGE CLASSIFICATION| San Jose State University, (Aug 2017 - Present) • Trained and evaluated CNN models like AlexNet, InceptionV3 and Faster R-CNN on CIFAR-10, COCO, BreakHis datasets.• Using Tensorflow and Keras deep learning frameworks to design our CNN model.• Utilized OpenCV libraries for real time object detection using Faster R-CNN model.• Skills Used: Python, OpenCV, Tensorflow, Keras, Scikit-Learn, Deep Learning, CNN, Amazon EC2ACCELEARTING THE 2D HEATED PLATE STEADY STATE HEAT EQUATION ON THE PITTSBURGH SUPERCOMPUTING CLUSTER (PSC)| San Jose State University, (Aug 2017 – Oct 2017)• Achieved an acceleration of x22.835 using OpenMP directives on a 28 core computing node.• Attained an improvement of x1.833 using OpenACC directives on a NVIDIA Tesla P100 GPU.• Leveraged MPI to accelerate the algorithm across multiple compute nodes.• Skills Used: C/C++, OpenMP, OpenACC, MPI, Unix/Linux Shell scripting

Aug 2016 - May 2018

Platform Engineering Intern

Santa Clara, California, Us

Containers are isolated runtime environment complete with various dependencies and libraries for applications to run to run irrespective of the host system version / specifications. Docker containers wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, and system libraries – anything you can install on a server. This guarantees that it will always run the same, regardless of the environment it is running in.• Researched various threats to securing Docker container platforms by simulating threat scenarios and identifying system vulnerabilities in a team of 5 developers and collaborated with teams across business groups for feedback. • Designed a C application to read the ELF header of an executable and print its interpreter and identify the syscalls in Linux 3.19.0 kernel which accessed user space pointers and buffers.• Created a secure Docker runtime environment and demonstrated the various researched protection schemes to Data Center Group (DCG) Team from Santa Clara site. • Summarized the results into a detailed specification document as per the vendor requirements.

Jan 2016 - Jun 2016
Team & coworkers

Colleagues at Intel Corporation

Other employees you can reach at intel.com. View company contacts for 10 employees →

2 education records

Arijit Bhattacharjee education

Master Of Science (Ms), Electrical Engineering

San José State University

Bachelor Of Engineering (B.E.), Electrical And Electronics Engineering

Birla Institute Of Technology And Science, Pilani
FAQ

Frequently asked questions about Arijit Bhattacharjee

Quick answers generated from the profile data available on this page.

What company does Arijit Bhattacharjee work for?

Arijit Bhattacharjee works for Intel Corporation.

What is Arijit Bhattacharjee's role at Intel Corporation?

Arijit Bhattacharjee is listed as Graphics Hardware Engineer at Intel Corporation at Intel Corporation.

What is Arijit Bhattacharjee's email address?

AeroLeads has found 1 work email signal at @intel.com for Arijit Bhattacharjee at Intel Corporation.

Where is Arijit Bhattacharjee based?

Arijit Bhattacharjee is based in San Jose, California, United States while working with Intel Corporation.

What companies has Arijit Bhattacharjee worked for?

Arijit Bhattacharjee has worked for Intel Corporation and San Jose State University.

Who are Arijit Bhattacharjee's colleagues at Intel Corporation?

Arijit Bhattacharjee's colleagues at Intel Corporation include Si Woo Park, Yong Teh, Thomas Grover, Michael Milgie, Phd, and 劉恕翰.

How can I contact Arijit Bhattacharjee?

You can use AeroLeads to view verified contact signals for Arijit Bhattacharjee at Intel Corporation, including work email, phone, and LinkedIn data when available.

What schools did Arijit Bhattacharjee attend?

Arijit Bhattacharjee holds Master Of Science (Ms), Electrical Engineering from San José State University.

What skills is Arijit Bhattacharjee known for?

Arijit Bhattacharjee is listed with skills including Verilog, Systemverilog, C/C++, Rtl Design, Computer Architecture, Static Timing Analysis, Synthesis And Functional Verfication, and Hardware Pipeline Design.

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