Zibran Farooque - Machine Learning Engineer - Griffyn Robotech Pvt Ltd | Himalayas
Zibran FarooqueZF
Open to opportunities

Zibran Farooque

@zibranfarooque

Machine Learning Engineer having 3 years of experience in developing object detection models.

India

What I'm looking for

I am looking for a role that fosters innovation in AI and computer vision, with opportunities for growth and collaboration.

Learning is priority.

Experience

Work history, roles, and key accomplishments

GL
Current

Machine Learning Engineer

Griffyn Robotech Pvt Ltd

Jul 2021 - Present (3 years 11 months)

As a Machine Learning Engineer at Griffyn Robotech, I focus on R&D in computer vision applications for industrial automation. My role involves training custom models for object detection and classification, utilizing frameworks like PyTorch and YOLO, and deploying solutions across various hardware platforms.

CP

Diploma in Advance Computing

CDAC Pune

Feb 2020 - Feb 2021 (1 year)

Completed a diploma focusing on full stack development, with training in OOPS using Java, RDBMS, and MySQL, along with web technologies like HTML, CSS, and ReactJS.

TC

Project Engineer

The Pirimid Construction

Aug 2015 - Aug 2020 (5 years)

Worked as a Project Engineer in the construction field, managing various projects and ensuring timely completion. Gained experience in project management and coordination.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Patna logoIP

Indian Institute of Technology Patna

M.Tech, Artificial Intelligence and Data Science Engineering

2023 - 2025

Grade: 8.2

Centre for Development of Advanced Computing logoCC

Centre for Development of Advanced Computing

PG-Diploma, Advanced Computing

2020 - 2021

Grade: 7.5

Completed 6 months of training in full stack development with a focus on OOPS using Java, RDBMS, and MySQL. Additional skills learned include HTML, CSS, ReactJS, Docker, GIT, and Linux.

Maharshi Dayanand University logoMU

Maharshi Dayanand University

B.Tech, Mechanical Engineering

2011 - 2015

Grade: 6.8

Tech stack

Software and tools used professionally

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