Parth Shandilya
Machine Learning Engineer at Kadoa
Basel, Basel-City, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolParth Shandilya is a Machine Learning Engineer based in Basel with 9 years of engineering experience and 4+ years focused on AI/ML, blending production-ready backend systems with applied ML for high-stakes clients. He has driven search and data-platform improvements at CERN—migrating Elasticsearch to OpenSearch with zero downtime and enhancing search relevance for thousands of researchers—and now optimizes unstructured web data pipelines and PDF-to-Markdown conversion to reduce LLM inaccuracies for finance use cases. A strong open-source contributor, Parth has meaningful backend and full-stack commits to prominent projects like the CERN Open Data portal and Indico, as well as long-term contributions to Weblate and FOSSASIA tooling. He combines pragmatic infrastructure work (Kubernetes, CI optimizations, durable queues) with product-facing features (CLIs, APIs, webhook integrations), and brings a track record of shipping resilient, scalable systems that bridge researcher workflows and commercial ML needs.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology Computer and Communication Engineering, Bachelor of Technology Computer and Communication Engineering at The LNM Institute of Information TechnologyComputer Science, Computer Science at ETH ZürichMasters Computer Science, Masters Computer Science at University of Basel
English, Hindi, hinglish, French, German
Stackoverflow
2,651reputation
291kreached
144answers
34questions
Github Skills (55)
javascript10
event-handling10
back-end-development10
apidoc10
python10
weblate10
django10
amazon-elasticsearch10
css10
event-manager10
typescript10
user-interface10
flask-ask10
open-data10
eventbus10
Programming languages (19)
Github contributions (5)
fossasia/badgeyay
Oct 2017 - Mar 2019
Attendee Badge Generator for Conferences http://badgeyay.com Backend: http://badgeyay-dev.herokuapp.com
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:181 commits, 335 PRs, 716 pushes in 1 year 5 months
Contributions summary:Parth primarily contributed to the front-end of the Badgeyay project, as evidenced by the HTML, CSS, and JavaScript code changes. Their work included implementing new UI components, improving existing ones, and integrating features like user authentication. They also made changes to the backend, with modifications to the main application and tests. The commits suggest a focus on enhancing the user interface and overall user experience.
attendeebadge-generatordevbackendconferences
fossasia/loklak_search
Sep 2017 - Jan 2018
Frontend Search for loklak server https://loklak.org
Role in this project:Front-end Developer
Front-end DeveloperContributions:12 commits, 15 PRs, 70 comments in 4 months
Contributions summary:Parth primarily contributed to the front-end of the Loklak Search project by implementing new features and addressing bugs related to the user interface. A major contribution involved adding a privacy policy page, which included the creation of the necessary HTML, TypeScript, and module configurations. The user also focused on updating the application to use HTTPS for queries, improving the security and reliability of the search functionality. Furthermore, the user fixed various styling and display inconsistencies to improve the overall user experience.
frontendhttps-server
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