Ashish Jindal
About Ashish Jindal
Ashish Jindal is a Data Scientist specializing in Computer Vision, currently employed at Bosch Global Software Technologies in Bengaluru, India. He has developed advanced image processing systems and has experience in KYC automation and scalable image search engines.
Work at Bosch Global Software Technologies
Ashish Jindal currently serves as a Data Scientist specializing in Computer Vision at Bosch Global Software Technologies. He has been in this role since 2022, contributing to projects that leverage advanced computer vision techniques. His work includes training an end-to-end image-based car damage detector aimed at automating processes within the insurance industry. This position is based in Bengaluru, Karnataka, India.
Previous Experience at KrazyBee
Prior to his current role, Ashish Jindal worked at KrazyBee as a Senior Data Scientist for a duration of five months in 2021. His responsibilities included developing solutions in the field of data science and computer vision. He also held a previous position at KrazyBee as a Data Scientist focusing on computer vision from 2020 to 2021, where he contributed to various projects in Bangalore Urban district, Karnataka, India.
Education and Expertise
Ashish Jindal completed his Bachelor of Technology in Computer Science at B K Birla Institute of Engineering & Technology, Pilani, from 2014 to 2018. He also achieved senior secondary education at Baba Mungipa Vidyapeeth from 2012 to 2014. His foundational education includes matriculation from Birla School, Pilani, from 2007 to 2012. His academic background supports his expertise in data science and computer vision.
Technical Projects and Implementations
Ashish Jindal has been involved in multiple technical projects throughout his career. He implemented a KYC automation system utilizing object detection models and OCR solutions, including Tesseract, Google Vision, and Azure Vision OCR. Additionally, he developed CLIFF, a scalable image search engine that employs deep learning embeddings for efficient similarity searches. His work also includes creating a face liveliness and matching system using ensemble learning.
Technological Proficiencies
Ashish Jindal has experience with a range of technologies relevant to data science and computer vision. He has utilized FastAPI, Kubernetes, and the Azure cloud suite in various projects. His expertise extends to using Terraform for infrastructure management and PostgreSQL for database solutions. His technical skills are complemented by his focus on clean code, object-oriented programming, and design patterns.