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Snehal Vats

Software Engineer at NatWest | Information Science Graduate | AI & ML Enthusiast | Alumni ISE Best Project Awardee

Bengaluru

3+ years of work experience

NatWest Group
Jul 20242 yrs 3 mosPresent

Bengaluru, Karnataka, India

AB InBev
Jan 20246 mosJun 2024

Karnataka, India

Samsung R&D Institute India
Dec 20229 mosAug 2023

Karnataka, India

Project: Table Detection in Documents using Paddle OCR Designed and developed a machine learning model to accurately detect tables within diverse documents. Spearheaded the creation of a robust custom dataset comprising 1,000 images, both synthetic and real. Collaborated with a dedicated team of mentors and peers, resulting in a high-performing model that achieved a 96% accuracy rate in detection.

Snehal’s AI Stack

kiro
kiro

Education

Ramaiah Institute Of Technology

Bachelor of Engineering, Information Science and Engineering

Ramaiah Institute Of Technology

20204 yrs2024
Delhi Public School -  Bangalore South

CBSE

Delhi Public School - Bangalore South

20182 yrs2020

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Headline

Software Engineer at NatWest | Information Science Graduate | AI & ML Enthusiast | Alumni ISE Best Project Awardee

About

A dedicated and passionate engineer with a deep interest in artificial intelligence, game development, and machine learning. My education at M S Ramaiah Institute of Technology, complemented by hands-on experience at Samsung PRISM, has equipped me with a comprehensive understanding of algorithms, data analysis, and software engineering. Beyond technical skills, my commitment to excellence is demonstrated through accolades like the AICTE Pragati Scholarship and leadership roles in various extracurricular activities.

Location

Bengaluru

AI stack

kiro

Work experience

Software Engineer at NatWest Group, Jul 2024 - Present · 2 yrs 3 mos, Bengaluru, Karnataka, India

Intern at AB InBev, Jan 2024 - Jun 2024 · 6 mos, Karnataka, India

Research Intern at Samsung R&D Institute India, Dec 2022 - Aug 2023 · 9 mos, Karnataka, India, Project: Table Detection in Documents using Paddle OCR Designed and developed a machine learning model to accurately detect tables within diverse documents. Spearheaded the creation of a robust custom dataset comprising 1,000 images, both synthetic and real. Collaborated with a dedicated team of mentors and peers, resulting in a high-performing model that achieved a 96% accuracy rate in detection.

Education

Bachelor of Engineering, Information Science and Engineering, Ramaiah Institute Of Technology

CBSE, Delhi Public School - Bangalore South

Snehal Vats - Software Engineer in Bengaluru | Tal