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Dhruv ShandilyaDS
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Dhruv Shandilya

@dhruvshandilya1

Computer Science student who developed an AI facial-recognition attendance system at Indian Oil Corporation Limited.

India
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At Indian Oil Corporation Limited (IOCL), I developed an AI-based facial recognition attendance system to automate employee attendance tracking. I implemented real-time face detection with Python and OpenCV and designed a relational SQL database for attendance data.

For my Wireless Sensor Networks research, I designed a hybrid optimization framework combining Ant Colony Optimization, Grey Wolf Optimization, and Particle Swarm Optimization. I applied it to clustering and routing, evaluating delay, energy consumption, network lifetime, and routing hops.

I presented my work on the Dynamic Hybrid ACO–GWO–PSO Optimization Technique for Energy Efficient Clustering and Routing in Wireless Sensor Networks at the IEEE INDESCON Conference hosted by National Institute of Technology Rourkela. I also developed a conceptual architecture for a cloud computing device for enhanced network security, with a design application filed with the Intellectual Property Office.

Experience

Work history, roles, and key accomplishments

IL

Information Systems Intern

Indian Oil Corporation Limited

May 2024 - Jul 2024 (2 months)

Developed an AI-based facial recognition attendance system to automate employee attendance tracking. Implemented real-time face detection using Python and OpenCV, designed a relational SQL database, and collaborated with enterprise IT teams for testing and deployment.

Education

Degrees, certifications, and relevant coursework

KU

KIIT Deemed to be University

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: 8.7/10

B.Tech candidate in Computer Science and Engineering, expected to graduate in May 2026.

KB

Kendriya Vidyalaya IOC Barauni

Senior Secondary (CBSE), General

Grade: 90%

Completed Senior Secondary (CBSE) in 2022 with a score of 90%.

Tech stack

Software and tools used professionally

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