Avijit Chakraborty
Memory IP Development at Intel Corporation
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAvijit Chakraborty is a VLSI design professional with 17 years of industry and research experience, currently focused on developing embedded memory IPs for Intel products from his base in San Diego. He has deep expertise across embedded memory design and verification, memory compiler development, timing and power characterization, full-chip power modeling, and memory/IO DFT, with hands-on work in SCAN and ATPG algorithm development. Prior roles include FPGA product development—where he led power projection, yield and binsplit modeling, thermal analysis, and reliability-driven yield optimization—and senior IC design positions at AMD and Broadcom. Avijit combines research rigor (PhD work at Texas A&M) with practical delivery of silicon-focused methodologies and device models that fold reliability into manufacturing projections. His open-source contributions include backend C++ work to integrate and stabilize the nGraph deep-learning runtime, reflecting a comfort bridging software toolchains and hardware design flows.
8 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Electronics and telecommunication Engineering, Bachelor’s Degree, Electronics and telecommunication Engineering at Indian Institute of Engineering Science and Technology (IIEST), ShibpurDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Texas A&M University
Github Skills (17)
cpp-library10
c-language10
lib10
integrate10
plugin-development10
enterprise-integration10
application-integration10
integrations10
system-integration10
c-libraries10
clib10
cloud-integration10
cprogramming-language10
data-integration10
build-system9
Programming languages (2)
Github contributions (5)
NervanaSystems/ngraph
Aug 2017 - Oct 2019
nGraph - open source C++ library, compiler and runtime for Deep Learning
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 commits, 15 PRs, 36 pushes in 2 years 2 months
Contributions summary:Avijit primarily worked on implementing and modifying core C++ library features related to the nGraph plugin. This includes completing a plugin skeleton implementation, refactoring and renaming functions, and integrating the C++ code base. Furthermore, the user was also involved in fixing the paths in include statements and resolving compilation errors.
inference-enginecppc-librarydeep-learningtvm
NervanaSystems/tensorflow
Jul 2018 - Dec 2018
Computation using data flow graphs for scalable machine learning
Contributions:6 commits, 8 PRs, 105 pushes in 5 months
computationscalabledata-sciencemachine-learninggraphs
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.