Deep Saha
@deepsaha
I build scalable MERN applications and machine-learning systems for practical user and student wellbeing needs.
What I'm looking for
I've built and deployed MessMate, a full-stack MERN platform for PG and mess discovery and booking. I implemented JWT authentication, protected routes, search, filtering, and booking workflows to make the experience more usable.
I'm also designing an interpretable machine-learning screening system that classifies depression severity among university students using PHQ-9 questionnaire data. My work includes preprocessing, feature encoding, severity-label mapping, and supervised models such as Logistic Regression, SVM, Random Forest, and ensemble voting.
As a Computer Science undergraduate at Maulana Abul Kalam Azad University of Technology, I bring a strong foundation in data structures, algorithms, databases, operating systems, and SQL. I've solved 300+ LeetCode problems and placed fourth in a college coding contest.
I'm passionate about clean, efficient, production-ready code, exploring new technologies, and sharing ideas through tech blogging.
Experience
Work history, roles, and key accomplishments
Computer Science Undergraduate
Maulana Abul Kalam Azad University of Technology
Jul 2022 - Jul 2026 (4 years)
Pursuing a Bachelor of Technology in Computer Science with a strong foundation in machine learning and data structures. Experienced in building and deploying scalable MERN stack applications with authentication, booking systems, and real-time features.
Education
Degrees, certifications, and relevant coursework
Maulana Abul Kalam Azad University of Technology, West Bengal
Bachelor of Technology, Computer Science
2022 -
Grade: CGPA: 7.13
Pursuing Bachelor of Technology in Computer Science with a strong foundation in machine learning and data structures.
Salsalabari Model High School
Intermediate, General Studies
2020 - 2021
Grade: 90.6%
Completed Intermediate education with a percentage of 90.6.
Salsalabari Model High School
Matriculation, General Studies
2018 - 2019
Grade: 90.4%
Completed Matriculation with a percentage of 90.4.
Availability
Location
Authorized to work in
Portfolio
messmate.co.inJob categories
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