Jai Janyani
Data Engineer II
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJai Janyani is a Data Engineer II based in Seattle with nine years of experience building end-to-end data solutions—from acquisition and cleansing to feature engineering, ETL, deployment, and visualization—primarily in large-scale and streaming environments. With a background spanning Amazon, Neudesic, and data-focused startups, he has deep hands-on expertise in Spark, Kafka, Presto, Python ML stacks, and BI tools to turn messy inputs into production-ready datasets and actionable insights. He often bridges data science and engineering, owning both model-ready pipelines and the backend integration that serves them, as evidenced by his full-stack automated resume-screening project on GitHub. Known for seeking challenges outside his comfort zone, Jai brings a pragmatic blend of algorithmic know-how and production engineering discipline to complex data problems.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Rajasthan Technical University, Kota
English, Hindi
Stackoverflow
61reputation
4kreached
3answers
0questions
Github Skills (24)
python10
machine-learning10
flask-ask10
flask10
pdf-parsing9
gensim8
scikit8
pandas8
scikit-learn8
resume7
datasets7
file-handling6
html6
azure-synapse6
azure6
Programming languages (6)
Github contributions (5)
JAIJANYANI/Automated-Resume-Screening-System
Mar 2018 - Oct 2019
Automated Resume Screening System using Machine Learning (With Dataset)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:35 commits, 15 PRs, 26 pushes in 1 year 7 months
Contributions summary:Jai appears to be working on a full-stack resume screening system, primarily developing backend logic and integrating it with a user interface. They are responsible for parsing and analyzing resumes, likely using machine learning techniques like TF-IDF and KNN for matching job descriptions. The commits demonstrate the creation of a web application using Flask, with the integration of HTML, PDF, DOC, and DOCX files.
machine-learningpython3resume-analysisdatasetdatasets
JAIJANYANI/Video-Analysis-for-Surveillance
Sep 2017 - Mar 2018
Analyzing CCTV videos to find interesting events
Contributions:35 commits, 33 pushes, 1 branch in 5 months
videosurveillancepython3machine-learningcctv-cameras
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