Kuna Sujitha

Detail-oriented B.Tech Engineer and Executive PG graduate in Data Science & Artificial Intelligence with Machine Learning. Experienced in ML model development, data preprocessing pipelines, and LLM data annotation & RLHF finetuning at Turing. Proven track record of building predictive algorithms, handling imbalanced datasets, and deploying interactive AI micro-applications via Streamlit. Proficient in Python, Machine Learning, Transformers, RAG systems, and AI alignment.

Data Annotator / AI Trainer at Turing (2026-01 – 2026-01)

• LLM Response Evaluation & Alignment: Assessed and fine-tuned Large Language Model (LLM) responses using Reinforcement Learning from Human Feedback (RLHF) techniques to optimize factual accuracy, tone, and logic.
• Data Quality & Prompt Engineering: Annotated, ranked, and crafted complex multi-turn prompt scenarios and code snippets to refine training datasets for generative AI models.
• Safety & Bias Auditing: Evaluated model outputs to detect edge cases, mitigate hallucinations, and ensure strict adherence to corporate content safety guidelines.

Data Science Intern at The Developers Arena (2026-05 – 2026-07)

• Customer Churn Optimization: Built an end-to-end predictive classification system using Scikit-Learn to identify high-risk customer attrition, achieving 74% baseline accuracy and an F1-score of 61%.
• Imbalance Resolution: Resolved heavy class imbalance using Synthetic Minority Over-sampling (SMOTE) and hyperparameter tuning, significantly optimizing model Recall.
• Pipeline & Metrics: Designed production-ready preprocessing pipelines including robust scaling and categorical encoding, aligning evaluation metrics with strategic retention goals.

Machine Learning Intern at CodeAlpha (2026-05 – 2026-06)

• Predictive Modeling & Feature Engineering: Developed standard machine learning models, executed thorough exploratory data analysis (EDA), and performed feature selection on structured datasets.
• Model Tuning & Evaluation: Optimized algorithm performance using cross-validation and hyperparameter tuning, evaluating models across precision, recall, and ROC-AUC metrics.

Executive PG in Data Science & Artificial Intelligence with ML – Center for Training and Employment

B.Tech in Engineering – Sri Sai Institute of Technology and Science (2013)