Sravanth Kurmala
About Sravanth Kurmala
Sravanth Kurmala is a Machine Learning Engineer with a background in Electronics and Communication Engineering. He currently works at HyperVerge and has experience in various roles related to machine learning and data science.
Work at HyperVerge
Currently, Sravanth Kurmala serves as a Machine Learning Engineer at HyperVerge, a position he has held since 2024. His work focuses on developing advanced machine learning solutions. Notably, he developed a liveness detection system that integrates multiple modalities, including optic flow and monocular depth. This project highlights his expertise in machine learning applications and his ability to innovate in the field.
Current Role at Scaler
In addition to his role at HyperVerge, Sravanth Kurmala works as a Machine Learning Teaching Assistant at Scaler, a position he has held since 2022. In this role, he supports students in understanding machine learning concepts and applications, leveraging his background in the field to enhance the learning experience.
Education and Expertise
Sravanth Kurmala pursued his education in Electronics and Communication Engineering at the Indian Institute of Information Technology, SriCity, where he achieved a B.Tech degree from 2020 to 2024. He also studied at Tirumala Junior College, completing his 11th and 12th classes from 2018 to 2020. Additionally, he is currently studying at Zero To Mastery Academy, focusing on Computer Science and Machine Learning since 2021.
Previous Experience in Machine Learning
Prior to his current roles, Sravanth Kurmala gained experience as a Data Science Mentor at FunctionUp from 2023 to 2024. He also worked as a Junior AI Developer at Openfabric AI for eight months in 2023, where he contributed to AI development projects. Earlier in 2022, he served as a Machine Learning Engineer at Advenio TecnoSys Private Limited for three months.
Areas of Interest
Sravanth Kurmala has a keen interest in various domains within machine learning, particularly in computer vision and natural language processing. He actively explores open-source models and large language models (LLMs), and engages with vector databases as part of his research and development efforts in the field.