Looking for a job

Kalyani Pepakayala

@kalyanipepakayala

Message

I evaluate LLM outputs and build practical AI and machine learning applications.

India

Message

What I'm looking for

I'm seeking an AI Engineer role to develop practical AI solutions and apply my problem-solving skills to real-world business challenges.

I've evaluated 200+ LLM responses at Innodata India, reviewing and annotating AI-generated content against project-specific quality, accuracy, and relevance guidelines. I identify recurring response issues and provide feedback that supports stronger model performance and evaluation accuracy.

I've also built a TensorFlow and Streamlit crop disease classifier and a MERN stack blood bank management system. I'm seeking an AI Engineer role where I can develop practical AI solutions for real-world business challenges.

Experience

Work history, roles, and key accomplishments

Analyst – AI / LLM Practice Intern

Innodata India Private Limited

Dec 2025 - Jul 2026 (7 months)

Evaluated 200+ LLM responses against project-specific guidelines, identifying and correcting inconsistencies to improve response quality and consistency. Reviewed and annotated AI-generated content across multiple evaluation criteria, ensuring outputs met accuracy, relevance, and quality standards.

LLM Evaluation Data Annotation Quality Assurance AI Content Review Prompt Engineering

Data Science Intern

CodSoft

Sep 2023 - Oct 2023 (1 month)

Analyzed and processed datasets to identify patterns, trends, and actionable insights. Developed and evaluated machine learning models to support predictive analytics and data-driven decision-making.

Data Analysis Machine Learning Predictive Analytics Python

Education

Degrees, certifications, and relevant coursework

Kakinada Institute of Engineering & Technology for Women

Bachelor of Technology, Computer Science and Engineering – Artificial Intelligence & Data Science

2021 - 2025

Grade: 7.89/10

Pursued a Bachelor of Technology in Computer Science and Engineering with a focus on Artificial Intelligence and Data Science, achieving a cumulative GPA of 7.89/10.