Shalini Pyapali is a New York-based software engineer with a decade of experience building scalable back-end systems and developer tools. She specializes in Python ecosystems (Django, Flask, Pyramid) and Ruby on Rails, applying them across fintech, recruitment tooling, and education projects. Her career spans roles at Meta and Facebook, with impact at startups like Warbler Labs, Heron Finance, and Comun, and includes building a Python-based restaurant recommender system for Techtonica's curriculum. She is an active mentor and educator, contributing to Techtonica’s curriculum and teaching software engineering at Outco. A Hackbright alum with a UC Davis Biochemistry and Molecular Biology degree, she blends rigorous problem-solving with hands-on production delivery and a curiosity-driven approach to open-source work.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Biochemistry and Molecular Biology, Bachelor’s Degree, Biochemistry and Molecular Biology at University of California, Davis
Full Stack Software Engineering, Full Stack Software Engineering at Hackbright Academy
This repo contains the curriculum of Techtonica, a free tech training program for women and non-binary adults with low incomes.
Role in this project:
Back-end Developer
Contributions:22 commits, 15 pushes, 1 issue in 3 months
Contributions summary:Shalini's primary contribution is the implementation of a restaurant recommender system using Python. The commits show the development of classes for users, restaurants, tags, and ratings, along with methods for adding and filtering data. Key features include adding ratings, calculating average scores, and prioritizing restaurants, indicating a focus on the core backend logic. The code demonstrates object-oriented programming principles and data structure usage.
Interesting coding challenges that can be attempted by engineers trying to learn technologies.
Contributions:8 PRs, 40 pushes, 4 branches in 1 year 7 months
engineerstechnologiesinteresting
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