Ankush Chander is a computer scientist and faculty member with 11 years of experience specializing in information retrieval, natural language processing, information extraction and DevOps. He blends academic research—now pursuing a PhD and teaching at Dhirubhai Ambani University—with hands-on engineering, having built and scaled backend systems as a founding research engineer at RAx and contributed bug fixes to the pytextrank library for robust text summarization. He consults and freelances on graph algorithms, search and deep learning, and collaborates on personalized summarization and LLM evaluation at a research lab. Comfortable moving between research and production, he has a track record of mentoring engineers, shaping product decisions, and migrating legacy systems to modern stacks. Based in Gandhinagar, India, he describes himself as a lifelong computer science student who prefers practical impact over novelty. A terse GitHub motto—“Exile nothing.”—hints at a pragmatic, thorough approach to problem solving.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at College Of Technology Pantnagar
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Dhirubhai Ambani University
Master's degree, Information and Communication Technology, Master's degree, Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Role in this project:
Back-end Developer
Contributions:29 commits, 15 PRs, 34 comments in 2 years 2 months
Contributions summary:Ankush primarily focused on fixing bugs and improving the functionality of the `pytextrank` library. Their commits demonstrate changes to the core Python code, specifically addressing issues in default values and formatting. These modifications suggest a focus on improving the robustness and maintainability of the text summarization algorithms implemented within the library.
Contributions:16 pushes, 2 branches in 5 years 10 months
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Ankush Chander - Faculty at Dhirubhai Ambani University