Shanya Sharma
Software Engineer at Google
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolShanya Sharma is a software engineer with nine years of experience building backend and full-stack systems, currently at Google after driving task-assignment and scheduling features as a Software Engineer III at Walmart Labs. She has strong roots in microservices and quality-assurance tooling from her time at SAP, where she earned a "most promising fresher" award and co-founded a startup finalist in SAP's 1 Billion Lives APJ round. Her open-source work includes front-end and UX-focused contributions to the widely used promptsource toolkit, improving example selection and template management for NLP workflows. Comfortable across research and product contexts—evidenced by a research internship on automated code documentation and an academic profile—she blends practical engineering with an interest in developer-facing tooling and ML/NLP interfaces. Based in Bengaluru, she pairs rigorous technical grounding (BE with honors) with a knack for turning research ideas into usable software.
9 years of coding experience
4 years of employment as a software developer
BE, Electronics and Instrumentation Engineering, 8.37/10 (Honors), BE, Electronics and Instrumentation Engineering, 8.37/10 (Honors) at Shri G S Institute of Technology & Science91.4%, 91.4% at St. Aloysius Sen. Sec. School
English, Hindi
Github Skills (8)
streamlit10
nlp10
python10
natural-language-processing10
machine-learning9
front-end-development8
ui-design7
jinja26
Programming languages (3)
Github contributions (5)
bigscience-workshop/promptsource
May 2021 - Nov 2022
Toolkit for creating, sharing and using natural language prompts.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 20 commits, 17 PRs in 1 year 5 months
Contributions summary:Shanya primarily contributed to the front-end interface and application logic of the `promptsource` project. Their work included refactoring the user interface to use a slider for example selection, and removing the use of sessions for improved usability. Further, the user integrated features related to template management, including adding logic for aggregation over tuple-based keys, and removing a filter for priority datasets. This work reflects an understanding of the project's core functionality and a focus on improving user experience.
nlppromptspythontransfer-learningsharing
shanyas10/Book-Summaries
May 2019 - Jun 2020
Contributions:37 commits, 47 pushes, 1 branch in 1 year
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