Shibam Debnath

Software Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a health monitoring system saving $35,000 annually.
Achieved 95%+ accuracy in human activity recognition.
Led UI/UX design in multiple web-based projects.

Stackforce AI infers this person is a Full-Stack Developer with expertise in Machine Learning and Software Engineering.

Contact

Skills

Core Skills

Full-stack DevelopmentSoftware DesignSoftware DevelopmentDatabase ManagementMachine LearningData AnalysisUi/ux Design

Other Skills

GolangReact NativePython (Programming Language)Object Oriented DesignDeep LearningEvent ManagementUI/UXArtificial Intelligence (AI)React.jsTypeScriptDatabasesGraphQLKafkaDockerKubernetes

About

A curious engineer!

Experience

3 yrs 8 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 9 mos

Current Experience

Coinbase

Software Engineer

Sep 2024 – Present · 1 yr 9 mos · Remote

Owning and shipping products at scale, from technical design decisions to development, launch, post-launch monitoring for millions of Coinbase users across the globe

GolangReact NativeFull-Stack DevelopmentSoftware Design

Intel corporation

Software Engineer Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru · On-site

Received Full Time offer from Intel after completion of 6 month internship.
Solely developed a health monitoring system designed to streamline proactive system maintenance and prevent downtime, reducing manual workload by 550+ hours, diminishing 350+ service requests, and saving 35,000$ annually.
Developed a Python based application for validating database migrations and generating automated detailed email report.
Got appreciated for efficient execution, builder mindset and clear communication by entire team

Python (Programming Language)Object Oriented DesignSoftware DevelopmentDatabase Management

National institute of technology silchar

Research Intern

Jun 2023 – Jul 2023 · 1 mo · On-site

Implemented different Machine Learning algorithms to recognize human activity patterns based on the collected sensor data.
Employed Random Forest, Extra Tree Classifier and XGBoost, achieving an impressive 95%+ accuracy.
Led the entire team

Machine LearningDeep LearningData Analysis

Google developer student clubs, nit silchar

2 roles

Core Member

Promoted

Jul 2022 – Jul 2023 · 1 yr

Contributed to different team based projects as UI/UX lead and Full-Stack Developer.
Worked on web based projects like Guidance Grid, Oikyotaan website, Resource Hub.
Conducted Prototype Plenary workshop with 500+ participants

Full-Stack DevelopmentEvent ManagementUI/UX Design