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Cortex Crew · DIU

Shafiur Rahman Shafim

Software Engineering Student · Full-Stack Developer

Software engineering student and full-stack developer on Cortex Crew at Daffodil International University (Dhaka). Currently learning cloud architecture, advanced DevOps, and AI/ML integration.

Cortex Crew2026 record

Biography

Shafiur Rahman Shafim on Cortex Crew.

A software engineering student and full-stack developer. The systems below are ones he has shipped with the team.

Shafiur Rahman Shafim is a software engineering student and full-stack developer on Cortex Crew, a student hackathon and project showcase team at Daffodil International University (DIU) in Dhaka, Bangladesh.

He builds the systems Cortex Crew takes on stage. BD Krishibid, the Bangla-first farming platform the team demoed as Finalist at RoboFusion 1.0, is published from his public repository.

He is currently learning cloud architecture, advanced DevOps, and AI/ML integration.

  • Linux
  • Cloud Infrastructure
  • Monitoring
  • Deployment

2026 record

Six results, with Cortex Crew.

The team's competition sheet for 2026. Two podium finishes and four finals reached.

  1. Champion

    CSAD 2026 — Project Showcasing Competition

    Cyber Security Centre, Daffodil International University · Darktrace3

  2. 1st Runners-up

    IEEE ICADHI 2026 — Project Showcase

    IEEE DIU Student Branch · Niro

  3. Finalist

    AI Innovation Hackathon 2026 — From Learning to Impact

    Dept. of CSE, Daffodil International University · Autopilot

  4. Finalist

    AI Project Competition 2026

    Dept. of CSE, Daffodil International University · AI Mentor

  5. Finalist

    5th Data Science Summit

    Daffodil International University · Niro

  6. Finalist

    RoboFusion 1.0 — Project Showcasing

    UFTB Robotics Club, University of Frontier Technology, Bangladesh · BD Krishibid

Currently learning

What he is building toward.

Cloud architecture, advanced DevOps, and joining AI and ML into the systems he ships.

  • Cloud Architecture
  • Advanced DevOps
  • AI/ML Integration

Selected work

Systems taken to the stage.

Work Cortex Crew presented, from a repository he publishes.

  • BD Krishibid

    Bangla-first, voice-enabled farming for low-literacy Android

    Cortex Crew built a Bangla-first farming platform for low-literacy Android: an AI agronomist you can talk to, leaf-photo disease diagnosis, weather-aware irrigation advice, and an ESP32 soil-moisture loop that can run the pump. Every farmer screen has voice in and voice out.

    RoboFusion 1.0 · Finalist