Open to entry-level AI/ML roles

Nazmul Mridha

Junior AI/ML Engineer B.Sc. CSE · UAP

I build computer vision-based fall detection systems using EfficientNetV2-S for activity classification and PatchCore for fall detection, working with wearable sensor data. I have also built an NLP Resume Ranker and the FutureFinds E-Commerce Gadget Platform, with a strong grounding in Python, Data Structures and Algorithms.

View my projects Download CV
Portrait of Nazmul Mridha

01 About me

Engineer in the making, fundamentals first.

I am a Computer Science and Engineering student at the University of Asia Pacific, graduating in November 2026, with a strong interest in Artificial Intelligence and Machine Learning. I enjoy transforming raw data into practical solutions and building intelligent systems that solve real-world problems. I am currently seeking an entry-level AI/ML Engineer opportunity where I can apply my technical skills and continue growing as an engineer.

My project experience includes deep learning, computer vision, and natural language processing (NLP), including an EfficientNetV2-S-based activity classification system, wearable sensor data analysis, and an NLP-based resume ranking system. I also have a strong foundation in Python, data structures and algorithms, database design, and technical documentation.

Beyond academics, I actively contribute to leadership and community activities. I serve as the President of the Software & Hardware Club, received the Best Class Representative Award 2025, and have organized three hackathons.

Focus areas
  • Deep Learning
  • NLP
  • Image Classification
  • Human Activity Recognition

Education

B.Sc. in Computer Science & Engineering

University of Asia Pacific (UAP), Dhaka, Bangladesh · Expected Nov 2026

  • Machine Learning & Deep Learning
  • Data Structures & Algorithms
  • Database Systems
  • Object-Oriented Programming
  • Software Engineering
  • HSC · Ideal College2021
  • SSC · Tejgaon Adarsha School & College2019
  • JSC · IPH School & College2016

Honors & awards

  • Vice Chancellor’s Honor ListThree-time recipient, University of Asia Pacific
  • Dean’s Honor ListOne-time recipient, University of Asia Pacific
  • Best Class Representative (CR) Award2025

Leadership & activities

  • PresidentSoftware & Hardware Club, UAP · Spring 2026
  • Class RepresentativeBatch 52, Section C · Dept. of CSE, UAP
  • OrganizerInnovateX 2025 National Hackathon · DevFusion Mini Hackathon · HackApex 2026 Inter University Hackathon
  • VolunteerFinal Presentation, NIPPON AI DOJO 2026 · IRO Bangladesh 2026 · UAP CSE Career Workshop & Job Fair 2026
  • CommunityActive member, Dakbakhso Foundation · Youth Community Volunteer (Fire Service & Civil Defence)

02 Skills & learning

What I work with, and what’s next.

Programming languages

  • Python
  • C++
  • Java
  • JavaScript
  • C
  • SQL

AI / ML

  • Machine Learning
  • Deep Learning
  • Image Classification
  • NLP
  • Human Activity Recognition

Web & databases

  • Django
  • HTML5
  • Tailwind CSS
  • MySQL

Tools & core areas

  • Git
  • GitHub
  • Data Structures & Algorithms
  • OOP
  • Database Design
  • Technical Documentation

What I am learning

Topics I’m actively studying and practising right now.

Web Development

  • Learning to Build Interactive and Responsive Websites
  • Exploring HTML, CSS, and Beyond in Web Development

Python

  • Exploring Python for Development & Problem-Solving
  • From Basics to Advanced Python Development

Research paper

  • An In-Depth Study on Investigating the Achievement of AI Chatbots in Characteristic Healthcare
  • Challenges and Opportunities in Respective AI Health Assistants

Graphic Design

  • Canva, Adobe Illustrator, and Photoshop

03 Projects

Things I’ve built, end to end.

Machine learning, NLP and full-stack work. Click a preview to enlarge it, or open the source on GitHub.

SisFall pipeline: wearable sensor signals turned into an image mosaic and classified by EfficientNetV2-S
  • Python
  • Deep Learning
  • EfficientNetV2-S

SisFall Fall Detection Model

A pipeline that converts wearable sensor data into time-frequency image mosaics and trains an EfficientNetV2-S classifier to recognize 19 activities of daily living.

View on GitHub (SisFall Fall Detection Model)
Candidates ranked by match score for a job profile
  • Python
  • NLP

Resume-Scanner

An automated resume screening system that uses natural language processing to evaluate and rank candidates, making screening faster and more consistent.

View on GitHub (Resume-Scanner)
Peer-to-peer chat with file transfer and a blockchain ledger
  • Python
  • TCP
  • Tkinter

PeerLink

A blockchain project: serverless peer-to-peer chat and file sharing over TCP, with a Tkinter desktop interface.

View on GitHub (PeerLink)
8-bit accumulator CPU datapath
  • VHDL
  • Digital Design

Mini 8-bit Accumulator CPU

A small 8-bit accumulator CPU in VHDL with a program counter, ROM, control unit and ALU, supporting LDI, ADD, SUB, AND and OR. Built for the CSE 450 VLSI Lab.

View on GitHub (Mini 8-bit Accumulator CPU)

04 Contact

Let’s build something useful.

Open to entry-level AI/ML roles

Say hello

Have a role, a collaboration or a question about one of my projects? Send a message and I’ll get back to you.

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