Dhiraj Survase
About Dhiraj Survase
Dhiraj Survase is a Senior Machine Learning Engineer with expertise in deploying scalable APIs and developing advanced models for image processing and verification. He has contributed significantly to revenue generation through innovative machine learning solutions during his tenure at various companies in Pune, India.
Current Role as Senior Machine Learning Engineer
Dhiraj Survase currently holds the position of Senior Machine Learning Engineer at IDfy, where he has been employed since 2023. In this role, he focuses on developing and deploying machine learning models that enhance the company's capabilities in identity verification and KYC processes. His work involves utilizing advanced technologies such as Docker and Kubernetes to ensure the scalability and efficiency of APIs that handle high request volumes.
Previous Experience at IDfy
Prior to his current role, Dhiraj Survase worked at IDfy as a Machine Learning Engineer from 2022 to 2023. During this time, he contributed to the development of models for signature verification and image quality improvement. His efforts in enhancing data quality significantly impacted the company's operational efficiency.
Experience at GIBots
Dhiraj Survase served as a Senior Computer Vision Developer at GIBots from 2020 to 2022. In this position, he developed text detection and recognition models that outperformed existing models in both accuracy and efficiency. His work led to substantial cost savings for the company and generated significant revenue through the extraction of data from ID cards.
Educational Background
Dhiraj Survase completed his Bachelor of Technology at Veermata Jijabai Technological Institute (VJTI) from 2015 to 2019. He also studied at Rajarshi Shahu Mahavidyalaya (Autonomous) in Latur for one year from 2014 to 2015. His educational background provided a strong foundation in technology and engineering principles, which he applies in his professional work.
Technical Skills and Contributions
Dhiraj Survase has developed various machine learning models, including those for face detection, liveness detection, and image quality assessment. He has implemented MLops pipelines using Google's Vertex AI to streamline model training and data preprocessing. His contributions have led to significant revenue generation and improvements in data handling processes.