Open to opportunities

Suvarna Kumari

@suvarnakumari

Message

I’m an AI/ML intern building RAG and LLM workflows that deliver grounded, low-hallucination insights.

India

Message

What I'm looking for

I’m looking for an AI-focused role where I can build RAG and LLM systems with strong grounding, collaborate on end-to-end ML pipelines, and ship production-ready features while learning best practices in deployment and evaluation.

I’m an M.Sc. Data Science candidate with hands-on experience architecting RAG pipelines and LLM-driven workflows. I’ve built natural language search solutions using Python and FastAPI, with vector search via ChromaDB and confidence scoring to validate retrieval and mitigate LLM hallucinations.

I bring a product mindset that turns complex data into clear narrative insights for non-technical stakeholders through clean, production-ready code. I’ve also delivered ML prototypes and projects like market segmentation, YouTube content analysis automation, real-time tracking, and NLP resume parsing—each documented for reproducibility and scalability.

Experience

Work history, roles, and key accomplishments

Current

AI Backend Intern

Current

Neumeric Technolgies

Jan 2026 - Present (3 months)

Architected a Python/FastAPI RAG pipeline powering a natural-language search engine for a WordPress site. Implemented ChromaDB vector search and a confidence scoring layer (similarity thresholds) to validate retrieval and mitigate LLM hallucinations.

fastAPI ChromaDB Vector Search Embeddings Prompt Engineering Python

ML & Data Science Intern

Feynn Labs Services

May 2025 - Jul 2025 (2 months)

Prototyped an AI product/service and moved it through initial development and testing. Conducted EDA and used supervised/unsupervised ML to segment users into 4–5 clusters, improving initial workflow efficiency by 20%.

Machine Learning EDA Supervised Learning Unsupervised Learning Clustering data preprocessing Model Evaluation Python