Avtar Singh
Software Development Manager III at Amazon
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAvtar Singh is a results-driven software development manager with 9 years of experience and a 7.5+ year tenure at Amazon, now leading an eight-person high-performing engineering team in Hyderabad. He has progressed from hands-on SDE work on transportation financial and compliance systems to managing e-invoicing and large-scale operational services, combining domain expertise with delivery leadership. An AI enthusiast and active open-source contributor, he integrated deep learning (VGG16 via DL4J) into the widely used Apache Tika toolkit to add image recognition capabilities—an uncommon bridge between enterprise systems and applied ML. Known for turning complex compliance requirements into reliable, auditable systems, he blends technical depth, people leadership, and a curiosity for practical AI applications.
9 years of coding experience
7 years of employment as a software developer
Non-Medical, Non-Medical at Sant Sarwan Dass Model School, Hadiabad (Phagwara)Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Dr. BR Ambedkar National Institute of Technology, Jalandhar
English, Punjabi, Hindi
Github Skills (9)
javas10
computer-vision10
machine-learning10
apache-tika10
deep-learning10
vggnet10
java10
metadata8
content-extraction7
Programming languages (2)
Github contributions (5)
apache/tika
Mar 2017 - Jun 2017
The Apache Tika toolkit detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF).
Role in this project:
ML Engineer
ML EngineerContributions:15 commits, 2 PRs, 10 comments in 3 months
Contributions summary:Avtar primarily focused on integrating machine learning capabilities into the Apache Tika toolkit. Their work involved importing and utilizing the VGG16 model from deeplearning4j for image recognition tasks, demonstrating a clear focus on computer vision within the project. The commits show the implementation of a new class, DL4JImageRecogniser, and modifications to existing code to incorporate the model and its dependencies. The user also made enhancements to ensure the correct output and confidence intervals of the model.
apache-tikaextractionxlspdfppt
asmehra95/wiseowl
Jan 2017 - Sep 2017
This is a Fact based Question Answering System using Apache Solr as backend search engine, Wikipedia dumps as information source, Apache velocity , Html, Css for Web interface Design. The project also uses Linux bash script to perform its various functions like start,stop,training,indexing.
Contributions:58 commits, 3 PRs, 56 pushes in 7 months
pythonsolrweb-interfacefactindexing
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