Abhishek Bhattacharjee
Software Development Engineer II at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAbhishek Bhattacharjee is a pragmatic software engineer with 11 years of experience building backend and distributed systems, currently a Software Development Engineer II at AWS. He cut his teeth on disaster-recovery and orchestration at Symantec/Veritas before shaping microservices, event-driven systems, and ad-tech infrastructure at startups and Media.Net using Go, Java, Kafka, and Cassandra. His research background (MS, work on cross-platform information transfer and DARPA’s SocialSim) informs a data-driven approach to graph and network problems, and he brings practical DevOps experience from containerized load balancers to CI/CD pipelines. An active open-source contributor, he’s improved performance and portability for projects like the terminal-graphics chafa and helped harden testing in the Caffe deep-learning framework — evidence of a detail-oriented engineer who bridges research, production, and community code. Based in Seattle, he combines systems-level thinking with a history of shipping resilient, high-throughput services.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of South FloridaKendriya Vidyalaya SangathanBachelor of Engineering (BE), Information Technology, First Class With Distinction, Bachelor of Engineering (BE), Information Technology, First Class With Distinction at Pune Institute of Computer Technology
English, Bengali, Hindi
Github Skills (27)
c-language10
testing10
c1110
i38610
c1710
deeplearning-ai10
deep-learning10
performance-optimization10
computer-vision10
cprogramming-language10
test-automation10
image-processing9
graphics2d9
unit-testing9
graphic9
Programming languages (24)
Github contributions (5)
BVLC/caffe
Sep 2015 - Jul 2017
Caffe: a fast open framework for deep learning.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:40 commits, 18 PRs, 148 comments in 1 year 10 months
Contributions summary:Abhishek primarily focused on improving the quality and reliability of the Caffe deep learning framework by identifying and fixing bugs. The user's contributions included addressing precision issues in float comparisons within the testing framework, as well as correcting spelling errors in the codebase. Furthermore, the user made changes to ensure code style compliance.
pytorchvisiondeep-learningmachine-learningcaffe
hpjansson/chafa
Aug 2018 - Apr 2020
📺🗿 Terminal graphics for the 21st century.
Role in this project:Backend & Performance Engineer
Backend & Performance EngineerContributions:11 commits, 11 PRs, 10 pushes in 1 year 8 months
Contributions summary:Abhishek primarily focused on optimizing the `chafa` project, a terminal graphics library, for various architectures, particularly i386. They addressed build issues related to missing intrinsics and implemented conditional compilation for popcnt code based on hardware availability. Furthermore, the user updated the configuration and made modifications to improve the library's performance. They added geometric shape symbols, and also created scripts to generate fonts.
terminal-basedunicode-charactersiterm2image-viewergraphics-library
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.