Towseef Altaf
About Towseef Altaf
Towseef Altaf is a Software Engineer II at Hinge Health, where he has worked since 2023 in Bengaluru, India. He holds a Bachelor of Technology in Computer Science from the Model Institute of Engineering and Technology and has experience in various software development roles, including positions at Amazon and Getafix Technologies.
Work at Hinge Health
Towseef Altaf has been employed at Hinge Health as a Software Engineer II since 2023. He works in a hybrid model from Bengaluru, Karnataka, India. In this role, he contributes to the development and enhancement of software solutions aimed at improving user engagement and satisfaction.
Education and Expertise
Towseef Altaf earned a Bachelor of Technology in Computer Science from the Model Institute of Engineering and Technology, completing his studies from 2016 to 2020. His educational background provides a solid foundation in software engineering principles and practices.
Professional Background
Prior to his current position, Towseef Altaf worked at Amazon as a Software Development Engineer from 2021 to 2023. He also gained experience as a Software Engineer at Getafix Technologies Pvt Ltd from 2020 to 2021 and completed internships at Codefuel Technology Pvt Ltd and Getafix Technologies Pvt Ltd in 2019.
Technical Achievements
Towseef Altaf has developed modular React components using Atomic Design principles, which improved code maintainability and reduced frontend development time. He played a key role in enhancing InApp messaging, leading to increased user engagement. Additionally, he engineered a microservices monitoring infrastructure with DataDog, which reduced downtime and improved mean time to resolution (MTTR).
System Enhancements and Innovations
Towseef has successfully managed the migration from RabbitMQ to Kafka, improving message processing time and system scalability. He led the development of a high-performance Orchestration service BFF using Nest.js and GraphQL, which reduced API call latency. His work on architecting bulk workflow transitions has led to increased system efficiency and fewer processing errors.