LLM Engineer & Generative AI Specialist

Hi, I am Trupti Pandya

MSc Cloud Computing candidate at the University of Leicester. Passionate about building trustworthy, scalable AI systems โ€” specialised in RAG architectures, prompt engineering, and responsible AI.

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Changelog from my journey

Building, learning, and growing โ€” here's every chapter of my story.

2025

๐Ÿš€ Project

HireAI Next.js ยท TypeScript ยท LLM ยท RAG ยท Vector DB

  • AI-powered recruitment assistant โ€” ingests CVs & JDs, generates semantic embeddings and stores them in a vector DB for candidate-to-role matching.
  • Engineered a multi-stage prompt pipeline with context design and output guardrails for reliable, auditable answers.
  • Implemented RAGAS-based evaluation workflow measuring retrieval precision and answer quality.
  • Full-stack UX: chat interface + candidate records dashboard with auth for non-technical recruiters.
๐Ÿš€ Project

Career Copilot Next.js ยท TypeScript ยท Generative AI ยท LLM Orchestration

  • AI-driven career coaching platform using LLM orchestration for personalised skill assessments and learning roadmaps.
  • Designed multi-turn conversational flows with structured context management for coherent long interactions.
  • Integrated prompt templates and system-level instructions to constrain model behaviour.
  • Built a feedback collection and lightweight evaluation loop to monitor response quality.

2024

๐ŸŽ“ Education

MSc โ€” Cloud Computing & Generative AI University of Leicester, UK ยท Sep 2024 โ€“ Jan 2026

  • Specialised in LLM Engineering, Generative AI, Data Management, and Cloud Computing.
  • Key modules: Cloud Architecture & Deployment, Distributed Systems, AI on Cloud, Cybersecurity, Big Data Infrastructure.
LLM EngineeringRAG PipelinesCloud ArchitectureResponsible AI

2023

๐Ÿ’ผ Experience

UI/UX Intern โ€” LinearLoop Pvt. Ltd. Ahmedabad, India ยท Jun โ€“ Aug 2023

  • Designed and prototyped interfaces for client-facing web applications.
  • Collaborated with engineering teams to translate design requirements into functional specifications.
  • Reduced design iteration cycles by 25% by establishing reusable component libraries in Figma.

2020

๐ŸŽ“ Education

B.E. โ€” Information Technology KSV, India ยท Jun 2020 โ€“ May 2024

  • Graduated with a GPA of 8.92 / 10.0.
  • Key modules: Artificial Intelligence, Machine Learning, Database Systems, Web Technologies, Software Engineering.
AI / MLDatabase SystemsWeb TechnologiesGPA 8.92