PRANTAMOHAJAN

Pranta Mohajan

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I am a dedicated software engineer with a strong foundation in building real-world software applications and practical systems. I specialize in designing high-performance, scalable solutions bridging the gap between hardware and modern web technologies.

Pranta Mohajan

About Me

Learner · Problem Solver

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My Story

I'm a Computer Science undergraduate at Premier University, Chittagong, passionate about solving real-life problems through software and IoT technologies. I enjoy turning ideas into working systems — clean code, thoughtful design, and projects that actually do something useful. Outside of coursework, I compete on Codeforces and CodeChef, and I'm steadily building toward a career as a AI/ML-based Software Engineer.

CURRENTLY BUILDING

IoT-based problem-solving projects

GOAL

Machine Learning Engineer

INTERESTS

AI / Machine Learning

LEARNING FOCUS

ML, PyTorch, Scikit-learn

Communication

LANGUAGES

English (Fluent) · Bengali (Native)

PUBLIC SPEAKING

Comfortable with presentations & technical talks

TEAM COLLABORATION

Effective team player and mentor


"Comfortable explaining complex technical ideas in simple terms, to technical and non-technical audiences alike."

My Skills

Technologies & Tools

Databases

MySQL
PostgreSQL
MongoDB
SQLite

DevOps & Deployment

Docker
Kubernetes
Git
GitHub

Hardware & Electronics

Microcontrollers
Robotics Control

Programming Languages

Python
C++
Java
JavaScript

Web Development

Flask
React
Node.js
Django

Machine Learning

OpenCV
PyTorch
TensorFlow
Scikit-learn

Data Science

NumPy
Pandas
Matplotlib
Matplotlib
Seaborn
Seaborn

Featured Projects

Things I've built, hands-on

DRAG
YOLO-Detect
PythonReal-Time Object Detection

YOLO-Detect

Multi-class object detection via YOLOv8 & OpenCV with FPS tracking and snapshot recording.

YOLOv8OpenCVPython
Air Canvas
PythonTouchless Gesture Drawing

Air Canvas

Draw and erase in the air using MediaPipe index finger tracking and OpenCV webcam streaming.

PythonOpenCVMediaPipe

Achievements & Certifications

Courses completed, badges earned, and verified credentials

Kaggle — Intro to Deep Learning

Kaggle — Intro to Deep Learning

Kaggle

Hands-on foundation in neural networks, computer vision, and TensorFlow models.

Kaggle × Google — 5-Day AI Agents Intensive Course

Kaggle × Google — 5-Day AI Agents Intensive Course

Kaggle • Google

Hands-on foundation in agent architectures, tool calling, and workflow automation.

Introduction to Generative AI Studio

Introduction to Generative AI Studio

Google Cloud • Simplilearn SkillUp • April 2026

Explored prompt design, model tuning, and multimodal GenAI deployments on GCP.

Get Started with SQL Analytics and BI on Databricks

Get Started with SQL Analytics and BI on Databricks

Databricks • Simplilearn SkillUp • April 2026

Mastered lakehouse SQL queries, visual dashboards, and business intelligence pipelines.

Kaggle Competitions

Titanic: Machine Learning from Disaster
House Prices - Advanced Regression Techniques
Spaceship Titanic
Stellar Classification Dataset - SDSS17
F1 Pit Stops (Playground S6E5)

Education

My Study Life

Bachelor of Science

Computer Science & Engineering
Premier University
Chittagong, Bangladesh
2025 - 2028
Pursuing
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Campus
Campus
Focused on Artificial Intelligence, Software Engineering & Robotics
Engaged in academic problem-solving contests and research methodologies
Relevant Coursework
Data StructuresAlgorithmsObject-Oriented ProgrammingDiscrete Math

Higher Secondary Certificate (HSC)

Science
2023 - 2024
Completed
GPA: 3.67 / 5.00
Campus
Campus
Graduated from the Science Division with core focus in STEM disciplines
Active participant in science seminars and academic competitions
Relevant Coursework
PhysicsHigher MathematicsChemistryICT

Publications

Research & Academic Contributions

Under Review
2025
IEEE International Conference on Computing, Communication, and Intelligent Systems (ICCCIS 2025)

Early Detection of Plant Leaf Diseases in Solanaceae Family Using Deep Learning

Pranta Mohajan, Co-authors

A comparative study of CNN architectures (ResNet, EfficientNet, MobileNet) for automated disease classification in tomato, potato, and eggplant leaves, evaluating real-world field conditions, inference latency, and multi-class accuracy.

Deep LearningCNNPlant PathologyTransfer LearningComputer Vision

Ongoing Research: Active investigations in Computer Vision & Precision Agriculture are in progress. Updated preprints will be reflected upon final peer review.

GET IN TOUCH

Let's Build Something Impactful

Have a project idea, research collaboration, or robotics inquiry? My inbox is always open.

Direct Contact

For fast inquiries, direct emails or WhatsApp messages are best.

Location

Chittagong, Bangladesh
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