Rajan Hari Ambrish

AI/ML Engineer and Data Scientist with experience in applying data science and machine learning to solve complex, large-scale problems and deliver actionable insights. Skilled in leveraging state-of-the-art technologies, including Large Language Models, to analyze and derive insights from social media data. Experienced in researching, developing, and deploying machine learning algorithms and pipelines. Previous experience includes work on privacy-preserving machine learning, federated learning, deep learning-based database management, SLAM, visual odometry, as well as computer vision for medical imaging - demonstrating versatility in applying ML across domains. Experience in the following areas: Natural Language Processing - Large Language models (Llama3, Llama2, T5, RoBERTa, BERT, GPT4), Sentiment Analysis, Explainable AI (Integrated gradients), Reinforcement Learning (RLHF - Proximal policy optimization, Direct preference optimization), high-performance computing - GPU (CUDA) Statistical Modeling and Data Science - Clustering, classification, time series analysis, dimensionality reduction (autoencoders) and validation techniques.