Preksha Shashanbhag
I’m a Master’s Artificial Intelligence student at Queen’s University Belfast, and I love building practical LLM-powered systems that are reliable, testable, and easy to maintain.
About
I’m a Master’s Artificial Intelligence student at Queen’s University Belfast, and I love building practical LLM-powered systems that are reliable, testable, and easy to maintain. My work spans RAG-style knowledge systems, agentic AI workflows, structured tool-calling, and automated data pipelines—always with an emphasis on evaluation and reducing hallucinations.
I also have a software engineering background that lets me turn requirements into real, working products—from web applications with performance improvements to API integrations and end-to-end data flows. Alongside my AI projects (like an agentic restaurant booking assistant and knowledge graph work), I enjoy communicating technical ideas clearly to non-technical stakeholders and continuously learning new methods to improve model and system robustness.
- 1 year's experience
- Joined September 2026
Skills· 13
Languages
- EnglishFluent
- KannadaFluent
- GermanIntermediate
- HindiFluent
Industry experience
- Education
- Software & Internet
- Healthcare
- Financial Services
- Professional Services
Work experience
Communicate AI and computing programmes to diverse audiences, making technical concepts accessible to non-technical stakeholders. Support university engagement activities and clearly communicate with prospective students from different backgrounds.
Built an LLM-powered knowledge retrieval chatbot using Python and Neo4j to generate natural-language queries and deliver business insights to non-technical stakeholders. Designed and deployed Python data pipelines, reducing manual processing effort by 70%. Developed AI-driven workflow tooling and collaborated across teams to deliver technical features and document internal processes.
Developed responsive web applications using HTML, CSS, and JavaScript, improving application performance by 30% and reducing load time by 20%. Translated business requirements into working technical deliverables while collaborating on application development and iteration.
Education
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