Data Scientist and Machine Learning Engineer with hands-on experience in NLP, large language models (LLMs), and model evaluation. I have worked on LLM evaluation and RLHF workflows, prompt engineering, and explainable AI, as well as building production-ready data and ML pipelines. My background includes sentiment analysis, RNN-based and transformer-based models, interpretability techniques (SHAP, LIME), and cloud-based ML workflows. I focus on building reliable, transparent, and scalable AI systems for real-world applications.