Siddharth S.

Siddharth S.

Member Of Technical Staff @ Clumio

About Siddharth S.

Siddharth S. is a Member of Technical Staff currently working at Clumio in Bengaluru, India. He co-founded CodeVector Labs, where he led the development of Suraksha.ai, a touchless attendance system utilizing face recognition technology.

Work at Clumio

Siddharth S. has been employed at Clumio as a Member of Technical Staff since 2021. His role involves contributing to the company's technical projects and initiatives. Clumio specializes in cloud data management, and Siddharth's expertise supports the development and implementation of innovative solutions within the organization. He is based in Bengaluru, Karnataka, India.

Education and Expertise

Siddharth S. completed his Bachelor of Technology (BTech) in Computer Science at the National Institute of Technology Raipur from 2017 to 2021. Prior to this, he attended Deshbandhu School, where he focused on Science and Mathematics, completing his high school education from 1999 to 2017. His educational background provides a strong foundation in technical skills and problem-solving.

Background in Startups

Siddharth co-founded CodeVector Labs, where he served as a core member and tech lead from 2019 to 2021. The startup focused on providing AI services, and during his tenure, he developed a product called Suraksha.ai, which is a touchless attendance system utilizing face recognition technology. His experience in the startup environment highlights his entrepreneurial spirit and technical capabilities.

Participation in Hackathons

During his academic career in the Computer Science stream, Siddharth participated in various nationwide hackathons. These events allowed him to apply his technical knowledge in competitive settings, collaborate with peers, and innovate solutions to real-world problems. His involvement in hackathons reflects his commitment to continuous learning and skill enhancement.

Decision-Making Approach

Siddharth S. prefers using historical data and experiments for decision-making processes rather than relying on news and sentiments. This analytical approach enables him to make informed decisions based on empirical evidence, which is particularly valuable in technical and product development roles.

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