Chaitanya (चैतन्य)
About Chaitanya (चैतन्य)
Chaitanya is a Machine Learning Engineer at Avaamo, where he has worked since 2021. He holds a Bachelor of Engineering in Computer Science from the Birla Institute of Technology and Science, Pilani, and has experience in natural language processing and deep learning technologies.
Work at Avaamo
Chaitanya has been employed at Avaamo as a Machine Learning Engineer since 2021. In this role, he focuses on developing and optimizing machine learning models. His responsibilities include utilizing advanced techniques to enhance the performance of natural language processing (NLP) applications. Chaitanya's work contributes to the company's initiatives in delivering intelligent automation solutions.
Education and Expertise
Chaitanya studied Computer Science at the Birla Institute of Technology and Science, Pilani, where he earned a Bachelor of Engineering (BE) degree. His academic background provides a solid foundation for his expertise in machine learning and deep learning technologies. He possesses a strong understanding of NLP models, including BERT and DPR, and has experience in implementing deep learning models using frameworks such as TensorFlow and PyTorch.
Background
Before joining Avaamo, Chaitanya gained practical experience through various internships and roles. He worked as an intern at Bharat Heavy Electricals Limited for two months in 2020. He also served as a Research Assistant at CSIR-CEERI in Pilani for four months in 2022. Additionally, he worked as a Design Engineer at Team Anant from 2019 to 2020, where he developed skills relevant to engineering and design.
Technical Skills
Chaitanya has developed a range of technical skills relevant to machine learning and deep learning. He utilizes ONNX optimizations to deliver efficient deep learning solutions. His expertise extends to deploying deep learning models using NVIDIA Triton. He applies mathematical concepts such as linear algebra, statistics, and calculus in his machine learning projects, enhancing the effectiveness of his models.