Vishwas Anand
@vishwasanand
Computer Science student focused on web development and machine learning.
What I'm looking for
I am a motivated Computer Science undergraduate with hands-on experience building web applications and machine learning models using Python, Flask, React.js, and PyTorch. I enjoy solving algorithmic problems and have demonstrated consistent practice across LeetCode, HackerRank, and CodeChef.
My projects include a Diabetic Retinopathy detection system using EfficientNet-B3 with a Flask front end, a privacy-oriented real-time chat application using Flask-SocketIO, and a web-based prescription generator that improves pharmacist usability. I emphasize practical, user-focused solutions that reduce errors and streamline workflows.
I seek opportunities to contribute to growth-focused teams where I can apply full-stack development and deep learning skills, continue improving engineering practices, and deliver impactful products.
Experience
Work history, roles, and key accomplishments
Student Developer
Pranveer Singh Institute of Technology
Jan 2022 - Present (4 years 5 months)
Developed multiple web and ML projects including a Flask/PyTorch diabetic retinopathy classifier and real-time chat app, improving screening automation and privacy-focused communication features.
Education
Degrees, certifications, and relevant coursework
Pranveer Singh Institute of Technology
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: 74.8%
Pursuing a Bachelor of Technology in Computer Science and Engineering with coursework and projects focused on web development and deep learning; expected graduation in 2026.
Delhi Public School
Intermediate - CBSE, Science
2020 - 2021
Grade: 86.4%
Completed Intermediate (CBSE) with a focus on science, achieving a percentage of 86.4%.
Delhi Public School
High School - CBSE, High School
2018 - 2019
Grade: 88.0%
Completed High School (CBSE) with a percentage of 88.0%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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