Himani Pandey
About Himani Pandey
Himani Pandey is a Senior Software Engineer at Altimetrik in Bengaluru, India, with a focus on machine learning and backend development. She has prior experience at Terralogic Inc. and Affine, and holds a BTech in Electrical and Electronics Engineering.
Work at Altimetrik
Himani Pandey has been employed at Altimetrik as a Senior Software Engineer since 2022. She works in Bengaluru, Karnataka, India, where she contributes to various software engineering projects. Her role involves utilizing her technical skills in software development and machine learning.
Previous Experience at Terralogic Inc.
Before joining Altimetrik, Himani Pandey worked at Terralogic Inc. as a Software Engineer from 2018 to 2021. During her three years at the company, she focused on developing and deploying machine learning models, particularly for sales prediction tasks. Her experience in this role helped her build a solid foundation in software engineering.
Experience at Affine
Himani Pandey served as an Associate AEG at Affine from 2021 to 2022. In this position, she continued to enhance her software engineering skills for nearly a year while working in Bengaluru, Karnataka, India. Her time at Affine contributed to her overall professional development in the field.
Education and Expertise
Himani Pandey completed her Bachelor of Technology (BTech) in Electrical and Electronics Engineering from Bipin Chandra Tripathi Kumaon Engineering College between 2013 and 2017. She also attended Government Girls Inter College Haldwani, where she studied Maths, Physics, and Chemistry, achieving her 12th grade in 2012. Her educational background supports her expertise in software engineering and machine learning.
Technical Skills and Tools
Himani Pandey possesses a range of technical skills relevant to her role as a software engineer. She is experienced in using CI/CD tools such as Git, Jenkins, Docker, Ansible, and Terraform for automation and deployment processes. Additionally, she has expertise in building machine learning pipelines using Amazon SageMaker and backend development skills with proficiency in Python and MongoDB.