Amogh Huddar

Amogh Huddar

Sde Intern @ Orangewood Labs

About Amogh Huddar

Amogh Huddar is a skilled SDE Intern currently working at Orangewood and has a strong background in competitive programming and data analytics. He is also involved with the Google Developer Students Club and has a commitment to academic excellence.

Work at Orangewood Labs

Currently, Amogh Huddar is serving as a Software Development Engineer (SDE) Intern at Orangewood in Noida, Uttar Pradesh, India. He began this role in 2024 and has been working on-site for four months. Prior to this position, he worked as an AI and Automation Intern at Orangewood for three months in 2024, where he gained experience in automation technologies and artificial intelligence applications.

Education and Expertise

Amogh Huddar is pursuing a Bachelor of Technology (BTech) in Information Technology at Birla Institute of Technology, Mesra, with an expected graduation in 2025. He previously studied at FIITJEE, where he focused on Engineering Science from 2019 to 2021. His educational background is complemented by his high school diploma from Delhi Public School, India, which he completed in 2021.

Background in Competitive Programming

Amogh holds the title of 'Expert' on Codeforces, reflecting his proficiency in competitive programming. He has also achieved a 5-star rating on CodeChef, indicating advanced skills in this area. His consistent performance in competitive programming showcases his analytical abilities and problem-solving skills.

Involvement in Community Initiatives

Amogh is actively engaged with the Google Developer Students Club, where he has been contributing as a Developer since 2023. His involvement includes participating in community projects and initiatives aimed at fostering collaboration and learning among students interested in technology and development.

Interests and Extracurricular Activities

In addition to his academic and professional pursuits, Amogh has a strong interest in data analytics, particularly in exploratory data analysis and basic machine learning. He is also an avid badminton player, which contributes to his teamwork and discipline skills outside of his academic and professional environments.

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