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Hema_ asritha Reddy

@hema_asrithareddy

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I build RAG systems and evaluate LLM outputs for reliable AI applications.

India

Message

What I'm looking for

I'm looking to build and evaluate practical Generative AI, RAG, and LLM applications, while growing through research, multimodal AI workflows, and data-driven problem-solving.

I've built RAG applications with LangGraph, LangChain, Groq, FAISS, NVIDIA embeddings, live web search, and stock data, including a company intelligence agent that generates evidence-based responses. At Innodata, I supported LLM training workflows through multimodal data annotation, content analysis, and quality assessment across text, audio, image, and video datasets.

My research combines AI, data science, and practical evaluation: I developed a CNN-based reversible image steganography solution achieving PSNR above 65 dB and SSIM near 1.0, published in an IEEE conference. I've also produced reproducible PM2.5 vulnerability analysis pipelines, mined policy documents with TF-IDF and LDA, and published two IEEE papers and an SSRN preprint.

Experience

Work history, roles, and key accomplishments

Analyst – AI/LLM Practice

Innodata India Pvt. Ltd.

Jun 2026 - Aug 2026 (2 months)

Worked on AI/LLM data annotation and content analysis across diverse multimodal datasets including text, audio, image, and video modalities to support LLM training workflows. Applied structured annotation guidelines, quality rubrics, and consistency standards across varied dataset types, ensuring high accuracy in LLM training data pipelines.

Data Annotation LLM Evaluation Multimodal Datasets Quality Assurance Prompt Engineering