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I am a graduate student in Applied Data Science at San Jose State University with hands-on expertise in generative AI, prompt engineering, and large language models. I have experience working on NLP, data augmentation, labeling, relevance evaluation, and multi-modal recommendation systems. I'm passionate about building ethical AI systems and have contributed to projects involving RAG pipelines and explainable AI. I enjoy applying my skills in Python and deep learning frameworks to solve real-world problems, especially in healthcare and patent analysis. With a background in software engineering and test analysis, I bring a well-rounded approach to AI research and development, and I am excited to contribute to innovative AI projects on a part-time basis.…I am a graduate student in Applied Data Science at San Jose State University with hands-on expertise in generative AI, prompt engineering, and large language models. I have experience working on NLP, data augmentation, labeling, relevance evaluation, and multi-modal recommendation systems. I'm passionate about building ethical AI systems and have contributed to projects involving RAG pipelines and explainable AI. I enjoy applying my skills in Python and deep learning frameworks to solve real-world problems, especially in healthcare and patent analysis. With a background in software engineering and test analysis, I bring a well-rounded approach to AI research and development, and I am excited to contribute to innovative AI projects on a part-time basis.

Aparna Bharathi Suresh

AI Engineer, Data Scientist, AI Prompt Engineer, +2

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I am a graduate student in Applied Data Science at San Jose State University with hands-on expertise in generative AI, prompt engineering, and large language models. I have experience working on NLP, data augmentation, labeling, relevance evaluation, and multi-modal recommendation systems. I'm passionate about building ethical AI systems and have contributed to projects involving RAG pipelines and explainable AI. I enjoy applying my skills in Python and deep learning frameworks to solve real-world problems, especially in healthcare and patent analysis. With a background in software engineering and test analysis, I bring a well-rounded approach to AI research and development, and I am excited to contribute to innovative AI projects on a part-time basis.…I am a graduate student in Applied Data Science at San Jose State University with hands-on expertise in generative AI, prompt engineering, and large language models. I have experience working on NLP, data augmentation, labeling, relevance evaluation, and multi-modal recommendation systems. I'm passionate about building ethical AI systems and have contributed to projects involving RAG pipelines and explainable AI. I enjoy applying my skills in Python and deep learning frameworks to solve real-world problems, especially in healthcare and patent analysis. With a background in software engineering and test analysis, I bring a well-rounded approach to AI research and development, and I am excited to contribute to innovative AI projects on a part-time basis.

Available to hire

I am a graduate student in Applied Data Science at San Jose State University with hands-on expertise in generative AI, prompt engineering, and large language models. I have experience working on NLP, data augmentation, labeling, relevance evaluation, and multi-modal recommendation systems. I’m passionate about building ethical AI systems and have contributed to projects involving RAG pipelines and explainable AI.

I enjoy applying my skills in Python and deep learning frameworks to solve real-world problems, especially in healthcare and patent analysis. With a background in software engineering and test analysis, I bring a well-rounded approach to AI research and development, and I am excited to contribute to innovative AI projects on a part-time basis.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineering Intern at Dimiour

April 1, 2025 - Present

Designed prompt-based RAG pipelines using OpenAI and HuggingFace which improved document generation time by 30%. Conducted evaluation and paraphrasing of multi-turn LLM outputs, reducing manual QA effort by 40%. Created and optimized SQL queries and Metabase dashboards, increasing visibility into output quality metrics by 50%. Contributed to automated summarization and testing workflows that sped up iteration cycles by 25%.

Test Engineering Analyst at Accenture, India

April 30, 2018 - August 1, 2025

Developed and maintained automated test scripts using Selenium and TestNG, reducing manual testing time by 40%. Performed SQL-based data validation and integrated test automation into CI/CD pipelines, increasing test reliability.