Janhavi Mahajan
Senior Software Engineer at Microsoft
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJanhavi Mahajan is a Senior Software Engineer based in New York with 10 years of experience building production software at Microsoft and prior roles across fintech and e-commerce. She has progressed through engineering levels at Microsoft since 2018, blending backend software development with practical machine learning and NLP work—contributing to Microsoft's popular nlp-recipes repository on NLI data preparation and modeling. Her background includes early-career engineering at J.P. Morgan, Wayfair, and internships at PayPal and VMware, giving her a strong foundation in scalable systems and enterprise practices. Janhavi also engages beyond engineering as an angel investor and former board member focused on emerging leadership, signaling interest in startups and talent development. She holds an M.S. in Computer Science from Northeastern and a BE in Computer Engineering, and is known for translating applied ML prototypes into reliable engineering pipelines.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BE) Computer Engineering, Bachelor of Engineering (BE) Computer Engineering at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri MumbaiMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Northeastern University
Stackoverflow
1reputation
0reached
0answers
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Github Skills (12)
data-preprocessing10
nltk10
machine-learning10
nlp10
dataprep10
python10
natural-language-processing10
data-science10
bert10
pre-trained-model9
text-classification9
pytorch9
Programming languages (6)
Github contributions (5)
microsoft/nlp-recipes
Apr 2019 - Aug 2019
Natural Language Processing Best Practices & Examples
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:84 commits, 4 branches, 1 issue in 3 months
Contributions summary:Janhavi contributed to the development of the nlp-recipes repository by showcasing data preparation and model training techniques for Natural Language Inference (NLI). The commits demonstrate the use of the SNLI dataset, loading and preprocessing techniques for text data, including tokenization and stop word removal. Furthermore, the user implemented various steps, like saving the prepared data and integrating the NLTK library in the data processing pipeline, showcasing a focus on building end-to-end NLP solutions.
natural-language-understandingnluword-embeddingslanguage-processingdialogue-systems
janhavi13/TowardsTransaparentAI_vGHC2020
Sep 2020 - Sep 2020
Contributions:36 commits, 2 PRs, 34 pushes in 12 days
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