FINAL-YEAR CSE STUDENT • WEB + INTELLIGENCE

I build real world systems
and turn ideas into projects.

I build real-world web apps and intelligent systems with clean UI, solid engineering, and measurable outcomes.

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Focus
Product-minded engineering
Strength
Clean structure + depth
Themes
Web • CNN • DSP
Amit Hasan NurNabi

Skills

Application Development

  • HTML, CSS, JavaScript
  • React fundamentals (components, state, props)
  • Node.js + Express (CRUD, REST)
  • Git/GitHub workflows

Data, Signals & Intelligence

  • Python (NumPy, Pandas, Matplotlib)
  • CNN training + evaluation
  • DSP (FFT, filtering, SNR)
  • Results reporting (metrics + analysis)

Systems & Foundations

  • C/C++
  • Data Structures & Algorithms
  • OS fundamentals

Emerging Interests

  • Blockchain fundamentals
  • On-chain data ideas (read-only dashboards)
  • Smart contract concepts (learning)

Featured Projects

Digital Lost & Found App

Full-stack

Full-stack app to post, search, and claim items (JSON storage).

Case Study GitHub

CNN Model

ML

Trained a CNN model and analyzed performance using clear metrics.

Case Study GitHub

DSP Speech Enhancement

Signals

Built a DSP pipeline to improve noisy audio clarity and measured results.

Case Study GitHub

Digital Profile Card Generator

Frontend

Fast, minimal, and structured - designed for calm outside, depth inside.

Case Study GitHub
See all projects

Notes / Thinking

How I improved CNN accuracy

What actually moved the metric - and what didn’t.

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Why cutoff frequency matters

DSP filter decisions explained simply.

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My approach to clean UI structure

How I keep portfolios calm without hiding depth.

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