M. Yusuf Manshur

My expertise spans dashboard monitoring, system integration, and significantly contributed to transactional data orchestration systems.

I am committed to continuous learning about backend development and exploring any cutting-edge technologies through my GitHub

For further discussion, feel free to reach out to me via LinkedIn

Widya Analytic: Toba.AI

Vue.js DjangoREST PostgreSQL Jenkins Docker

Role: Full-Stack Engineer
Duration: 2 years

Toba.AI is Widya Analytic’s flagship product that leverages artificial intelligence for social media benchmarking, trend recognition, and text sentiment analysis. The system implements a robust ETL pipeline using Apache Airflow to crawl data from external sources, load data into a centralized data lake, and transform it into structured formats for downstream analysis.

Tech Stack

Contributions

Capabilities Demonstrated

Architecture

Widya Analytic: Toba.AI - Architecture
Figure 1. Widya Analytic Toba.AI - Architecture

Documentation

Widya: Toba.AI V0 - Pitch
Capture 1. Toba.AI V0
Widya: Toba.AI V1 - Brand List
Capture 2. Toba.AI V1 - Brand List
Widya: Toba.AI V1 - Brand Detail
Capture 3. Toba.AI V1 - Brand Detail
Widya: Toba.AI V2 - Audiens
Capture 4. Toba.AI V2 - Audiens
Widya: Toba.AI V2 - Kompetitor
Capture 5. Toba.AI V2 - Kompetitor
Widya: Toba.AI V2 - Performa
Capture 6. Toba.AI V2 - Performa

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