Adarsh Kumar

Worked on cutting-edge research in text-to-3D image rendering and reconstruction, leveraging Neural Fields and Diffusion models. Developed novel deep learning algorithms to transform text prompts into 3D objects using advanced mesh analysis techniques.

Applied signal processing techniques to learn Wavelet representations of 2D signals. Used deep learning methods to predict discrete wavelet transform coefficients for efficient image compression.

Conducted advanced analytics on a dataset of welders to classify defects before they occur. Achieved a weighted f1 score of 0.90 using various ML algorithms.

Worked on training a large language model using Reinforcement Learning from Human Feedback. Implemented various pretraining techniques to ensure robust model performance.

Worked on a Moon Mapping challenge to generate a high-resolution map from low-resolution data. Secured a bronze medal for the project.

Studied climate-induced disasters using deep learning methods. Built a dataset and performed binary classification to predict floods in the Kerala region.

Analyzed time series data of stocks using the yfinance library and implemented time embeddings for forecasting using Transformer and LSTM models.

Grade: 7.810

Activities and societies: Core Member of Artificial Intelligence and Electronics Society (ArIES), involved in deep learning projects and group activities.

Pursuing a Bachelor of Technology in Electrical Engineering with a focus on machine learning, data analytics, and computer vision. Engaged in various projects and internships that enhance practical knowledge and skills in advanced technologies.

Grade: 94.20%

Completed Intermediate (Class XII) with a focus on science subjects, achieving a high percentage.

Grade: 95.60%

Completed Matriculation (Class X) with a strong academic performance.