Varsha Ahirwar
Technical Consultant Engineer at Cisco
New Delhi, Delhi, India
Summary
👤
Senior🎓
Top SchoolVarsha Ahirwar is a Technical Consultant Engineer at Cisco with a decade of experience building backend and ML solutions, currently based in New Delhi. She has hands-on expertise in conversational AI, contributing to Cisco's MindMeld open-source project by improving character n-gram feature extraction and entity recognition, which boosted model robustness. A BTech Information Technology student at IGDTUW, she is actively sharpening algorithmic skills in C++ while exploring Python development for practical ML and backend tasks. Her background includes an Outreachy-backed contribution to Wikimedia and a software internship at BD, reflecting a strong open-source mindset and applied engineering experience. Known for combining research-oriented feature work with production-focused fixes (like thresholding and lint cleanups), she brings both precision and pragmatism to AI engineering challenges.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at INDIRA GANDHI DELHI TECHNICAL UNIVERSITY FOR WOMEN
Github Skills (9)
named-entity-extraction10
machine-learning10
nlp10
named-entity-recognition10
entities10
python10
feature-extraction10
entity10
machine-learning-models9
Programming languages (1)
Github contributions (5)
cisco/mindmeld
Nov 2017 - Oct 2021
An Open Source Conversational AI Platform for Deep-Domain Voice Interfaces and Chatbots.
Role in this project:
Backend Developer & ML Engineer
Backend Developer & ML EngineerContributions:247 reviews, 194 commits, 21 PRs in 3 years 11 months
Contributions summary:Varsha primarily contributed to the `mmworkbench/models` directory, adding and modifying features related to character n-grams. Their work involved implementing feature extraction for both the classifier and entity recognizer models, likely improving the accuracy of the conversational AI platform. These changes include enhancements in the feature extraction process, and the addition of a thresholding feature. Further contributions included the addition of class labels and fixing lint errors.
nlpchatbotsdeep-learningconversationalconversational-ai
vembar/mindmeld
Jul 2019 - Oct 2021
An Open Source Conversational AI Platform for Deep-Domain Voice Interfaces and Chatbots.
Contributions:39 pushes, 12 branches in 2 years 4 months
nlpchatbotsnatural-language-understandingdeep-learningconversational
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