Open to opportunities

Isha Padhal

@ishapadhal

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Generative AI engineer building production-ready LLM systems and practical RAG solutions.

India

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What I'm looking for

I seek roles building production-ready LLM systems and RAG pipelines at companies valuing practical, scalable AI products, hands-on engineering, and iterative product impact.

I am a generative AI enthusiast focused on designing and building practical, user-facing LLM-powered systems for production environments. I specialize in end-to-end Retrieval-Augmented Generation pipelines, resume intelligence systems, and lightweight AI tools optimized for real-world constraints.

My project work includes an offline RAG chat system with dynamic document ingestion, recursive chunking, and a lightweight semantic scoring mechanism that produced near-instant (≈1s) responses through local processing.

I built a Smart ATS Resume Analyzer leveraging multimodal LLM evaluation, PDF-to-image processing, structured JSON evaluation reports, skill-gap analysis, and percentage-match scoring using Google Gemini 1.5 Flash.

I complement hands-on projects with formal learning—completing a Foundations of AI internship and multiple Google Cloud generative AI badges—while volunteering in technical events and student activities.

Experience

Work history, roles, and key accomplishments

AI Engineer

Edunet Foundation

Apr 2025 - May 2025 (1 month)

Completed a 4-week Foundations of AI internship, delivering guided labs and real-world AI use-case projects covering ML fundamentals and responsible AI practices.

Generative AI Machine Learning Python Prompt Engineering NLP Streamlit

Generative AI Developer

Independent Projects

Built end-to-end RAG systems and AI tools including an offline website chat demo and an ATS resume analyzer that produce fast, context-optimized responses and structured evaluation reports.

RAG Prompt Engineering Semantic Search Python Streamlit PDF Parsing