Nibaka Website

Nika Mirzabagher

I'm Designer

About

I'm a web designer and AI developer. Combining creativity with intelligence, I create websites that don't just look good — they think smart. With a background in computer engineering, I know how to turn ideas into functional, unique, and future-ready websites.

Web Developer & AI Developer.

Age: 26
Phone: +98 9213151433

Degree: Bachelor
Email: nikamirzabagher@yahoo.com

I started programming at 18 and have loved it ever since. I worked 2 years as a web designer at Meshcat Advertising Agency, then 2 years as an AI developer at DigiNext. Now, I'm a software developer at Faradid, combining design, AI, and development in my work.

Happy Clients

Projects

Months

Maintenance Period

Skills

HTML 100%

CSS 90%

JavaScript 75%

Python 98%

WordPress/CMS 100%

Photoshop 85%

Resume

Work Experience

Faradid Ertebat Fava

Software Developer

Feb 2024 – Present

Data Processing System Development
System Integration and API development
Comprehensive Database Design and Implementation

Diginext Company – Prism

Software Engineer

Sep 2022 – Feb 2024

Specialized in Natural Language Processing (NLP)
KPI check

Meshcat Advertising Agency

Web Developer

Sep 2021 – Sep 2022

Development and maintained company websites

Education

Bachelor of Computer Engineering

2018 - 2021

University of Science and Research Branch, Tehran, Iran

Ranked 2nd out of 60 Students

GPA: 3.59 | Last two years: 3.92

Publication

Video Sharing Network's Popularity Detection (Aparat)

2022

S. N. Mirzabagherbarzi, "Video Sharing Network's Popularity Detection (Aparat)," 2022 8th International Conference on Web Research (ICWR), 2022, pp. 126-129 https://ieeexplore.ieee.org/document/9786255

Courses & Certificates

Neural Networks Deep Learning

In progress

DeepLearning.AI

Machine Learning with Python

May 2023

Fundamentals of digital marketing

Aug 2022

Google Digital Garage

Programming for Everybody (Getting Started with Python)

Nov 2021

University of Michigan

AI Projects

Machine learning and NLP systems built for real-world impact.

NLP Similarity

Exam Fraud Detection

Detects plagiarism and collusion in written exams by measuring text similarity across a group of participants. Flags suspicious matches and highlights overlapping passages between submissions.

Group-level analysis

Text similarity engine

BERT Fine-tuning

Sentiment Analysis

Fine-tuned BERT model that classifies tweets, reviews, and social posts as positive, negative, or neutral. Achieved 89% precision after domain-specific fine-tuning on Persian and English text.

89% precision

Tweets · Reviews · Posts

Positive Neutral Negative

Real-time Geospatial

Disaster Event Detection

Monitors social networks in real time to detect and locate disaster events — earthquakes, floods, fires — and plots them live on an interactive geological map as they unfold.

Live social stream

Geo-tagged map

Live Detection

Recommendation Aparat

Video Popularity Detection

Predicts the popularity trajectory of videos on Aparat (Iran's video sharing platform) to power smarter recommendations. Published at the 2022 IEEE International Conference on Web Research (ICWR).

Aparat platform

IEEE ICWR 2022

View Publication