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Deep SahaDS
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Deep Saha

@deepsaha

I build scalable MERN applications and machine-learning systems for practical user and student wellbeing needs.

India
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What I'm looking for

I'm looking for an opportunity to build clean, scalable, production-ready software, contribute to real-world products, and grow across full-stack development and machine learning.

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

Education

Degrees, certifications, and relevant coursework

Maulana Abul Kalam Azad University of Technology, West Bengal logoMB

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.

SS

Salsalabari Model High School

Intermediate, General Studies

2020 - 2021

Grade: 90.6%

Completed Intermediate education with a percentage of 90.6.

SS

Salsalabari Model High School

Matriculation, General Studies

2018 - 2019

Grade: 90.4%

Completed Matriculation with a percentage of 90.4.

Tech stack

Software and tools used professionally

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