About

Meenal Chavan is a highly motivated and skilled Senior Software Engineer currently working at L&T. With over 2 years of experience in the field, Meenal has a proven track record of delivering high-quality work in a timely manner. She has a Bachelor of Engineering degree in Computer Engineering from Ramrao Adik Institute of Technology and has a strong foundation in software engineering and infrastructure. Meenal is currently pursuing her Master's degree in Natural Language Processing at the University of California, Santa Cruz, where she is expanding her knowledge and skills in the field. Her passion for NLP and machine learning has led her to actively seek out internships for summer 2023 to further enhance her expertise and gain practical experience. In her previous role as a Graduate Engineer Trainee at L&T, Meenal gained valuable experience in software engineering and developed a deep understanding of the company's infrastructure. She also worked as a Machine Learning Intern at the Indian Institute of Tropical Meteorology, where she analyzed large-scale meteorological datasets in NetCDF format and performed downscaling. Meenal's experience in comprehending papers on Super Resolution using DeepCNN, Autoencoder-based identification of predictors for Indian Rainfall, and Deep Learning based time series forecasting of Indian Summer Monsoon Rainfall has given her a strong foundation in machine learning and deep learning. Meenal is proficient in several technologies, including software engineering, NLP, infrastructure, ML, and deep learning. Her technical skills, combined with her strong work ethic and passion for learning, make her an asset to any team. With her drive and dedication, Meenal is sure to make a positive impact in any organization she joins.