Vinit Londhe

Data Engineer with hands-on experience in Python, SQL, PySpark and Palantir Foundry/AIP. Builds end-to-end data pipelines, ontology-driven data models and LLM-powered analytical tools. 14 months of commercial experience across data engineering and backend roles. MSc Data Science candidate at Queen Mary University of London.

AI and Software Engineering Intern - Histolyte Technologies - London, United Kingdom

(2026-07)

• Own database and persistence design for an internal AI platform, replacing flat-file storage with a 5-table relational schema covering users, conversations, messages, notes and knowledge documents.
• Designing a retrieval layer over that schema so the assistant answers from stored documents rather than model memory alone.
• Audited the codebase end to end, documenting architecture and data flow and remediating unsafe evaluation of user input in a backend tool handler.

Data Engineering Intern - JP Desolt Pvt. Ltd. - Remote (London)

(2024-03 - 2024-06)

• Built Python ETL pipelines integrating 3 source systems into analytical datasets serving 3 daily business reports.
• Added schema validation and duplicate detection across 10 pipelines, cutting malformed records reaching downstream consumers by 13%.
• Diagnosed and fixed recurring pipeline failures through log analysis, reducing failed runs from 27 to 3 per week.

Software Engineering Intern - Corestance Technologies - Pune, India

(2023-03 - 2023-09)

• Built 20+ REST API endpoints in Python and Flask for data ingestion and retrieval across internal business applications.
• Optimised SQL queries and data-access logic, cutting response time on Alerts by 11%.
• Debugged issues across API, backend and database layers, shipping production fixes in a Git-based Agile workflow.

MSc - Data Science (Data Engineering Stream) - Queen Mary University of London (2025-09 - 2026-09)

BTech - Computer Science and Engineering - Dr. Babasaheb Ambedkar Technological University (2020-02 - 2024-07)