I am a software architecture enthusiast; I enjoy optimizing the design of even the simplest of systems to reduce redundancies and enable proper separation of concerns; and hyperfocused on reusability. Now, I am bringing that enthusiasm to large language models and computational social science. A perennial student at the crossroads of machine learning and software engineering, I have always been particularly drawn to self-sustainability as a key tenet of software engineering. I experienced life as a software engineer starting from my BS/MS at the Rochester Institute of Technology followed by working as a Full-Stack Developer when I transitioned to working on my Ph.D. in Natural Language Processing for Social Good.
PhD candidate @ RIT; Software Architecture Enthusiast;
NLP for Social Good
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Rochester Institute of Technology
- Rochester, NY
- towhidabsar.dev/portfolio
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InfrastructureOmbudsman
InfrastructureOmbudsman PublicInfrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
Jupyter Notebook 1
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textual-entailment
textual-entailment PublicA simple library that enables the calculation of textual entailment between two texts (premise and hypothesis).
Python
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citykg
citykg PublicA collection of city-specific knowledge graphs of over 50 cities worldwide. CityKG provides a comprehensive semantic representation of notable entities present in a city and entities defining conce…
Jupyter Notebook
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