Headline

Ex AI/ML Intern (ECE) · Springer-published researcher · Building RAG systems, GenAI engines & edge-ML pipelines

About

I build systems where ML meets hardware constraints — RAG pipelines, agentic LLM frameworks, and generative AI engines, with the ECE grounding to care about what happens at inference time. My work so far: → Sentinel — a hybrid RAG system combining dense retrieval with structured reasoning, built to handle multi-hop queries at scale. → Lyra — a generative AI visual novel engine; end-to-end pipeline from prompt design to real-time content generation. → Springer publication — peer-reviewed research on disease detection using computer vision, applying ML to real-world agricultural diagnosis. → Interned at PESU Venture Labs building RankStack, an AI-native ranking platform for business entities — multi-agent architecture, LLM evaluation pipelines, and production deployment. Parallel to engineering, I lead design at Encode AI, shaping how AI products communicate with people — I care as much about the interface layer as the model underneath. Graduating May 2026 · ECE, PES University · Open to ML engineering, edge AI, and applied AI research roles

Location

Bengaluru

AI stack

antigravity

claude

gemini

hugging face

openai

ChatGPT

Work experience

Researcher at PESU Venture Labs, 2026 - Jun 2026 · 5 mo, PES University, • Designed end-to-end ML pipeline for agricultural computer vision task; handled dataset curation, annotation schema, transfer learning-based model training, and model evaluation across real-world field conditions • Documented model performance with structured eval reports; applied MLOps practices including experiment tracking, versioning, and failure analysis across training runs.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, PES University

PES University

Public links

github: https://github.com/yamini258