• Full-stack Data Scientist having experience with Machining Learning (ML), Computer Vision (CV), Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI)• ML and NLP: Data Preprocessing, Feature Engineering, Regression and Classification Models (e.g. Linear Regression, Logistic Regression, Random Forest, Gradient Boosting), Pandas, Scikit-learn, NLTK, PyTorch, NumPy, SciPy, Matplotlib, Seaborn• CV: Image Augmentation, Pointcloud Processing, Image Classification, Object Detection, Image Segmentation, PyTorch, PyTorch3D, TensorFlow, Kornia, OpenCV, Open3D• LLMs and GenAI: Fine Tuning, Prompt Engineering, LangChain, RAG Application, Question/Answering System• MLOps: Streamlit, HTML, CSS, JavaScript, Flask, FastAPI, AWS, GCP, Linux, Git, Docker• 5+ years of experience with Signal and Image Processing, Denoising, Reconstruction, Inverse Problem, Partial Differential Equation, Statistical Analysis, Optimization Algorithm• Google Scholar Profile: https://scholar.google.com/citations?user=ru7ZYzAAAAAJ