Hello, I'm

Niloy Rahman

Passionate MSc student in Computational Sciences with deep expertise in Natural Language Processing, Retrieval-Augmented Generation (RAG), and deep learning. Specialized in hyperparameter tuning and model optimization to push the boundaries of AI performance.

Natural Language ProcessingRetrieval-Augmented Generation (RAG)Deep LearningHyperparameter TuningModel OptimizationComputer Vision
Resume

About Me

Passionate about pushing the boundaries of artificial intelligence and computational sciences

My Journey

As an MSc student in Computational Sciences, I'm dedicated to exploring the fascinating intersection of mathematics, computer science, and artificial intelligence. My research focuses on Natural Language Processing and Retrieval-Augmented Generation systems.

I'm particularly passionate about model optimization and hyperparameter tuning, constantly seeking ways to improve AI system performance and efficiency. My work spans from theoretical research to practical implementations that solve real-world problems.

When I'm not coding or researching, I enjoy staying up-to-date with the latest developments in AI, contributing to open-source projects, and sharing knowledge with the developer community.

15+
Projects Completed
3+
Years Experience

Experience

Research Assistant

2023 - Present

University Research Lab

Leading research in NLP and RAG systems, focusing on optimization techniques and novel architectures.

PythonPyTorchTransformersRAGCUDA

AI Engineering Intern

2022 - 2023

Tech Company

Developed and optimized deep learning models for production environments.

TensorFlowKerasMLOpsDockerAWS

Education

MSc Computational Sciences

2022 - 2024

Laurentian University

Specialized in AI, machine learning, and computational methods with focus on deep learning applications.

BSc Computer Science

2018 - 2022

North South Univesrsity

Strong foundation in computer science fundamentals, algorithms, and software engineering.

Skills & Expertise

A comprehensive overview of my technical skills, certifications, and achievements

🐍

Python

95%
🟨

JavaScript

85%
🔷

TypeScript

80%
📊

R

75%
🗃️

SQL

85%

C++

70%

Certifications

Deep Learning Specialization

Coursera - DeepLearning.AI

2023

Verify →

AWS Machine Learning Specialty

Amazon Web Services

2023

Verify →

TensorFlow Developer Certificate

Google

2022

Verify →

Achievements

🏆

Research Paper Published

Published research on optimization techniques in top-tier ML conference

2023

🥇

Hackathon Winner

First place in AI/ML hackathon with innovative RAG solution

2023

🎓

Dean's List

Academic excellence recognition for consecutive semesters

2022-2023

Featured Projects

A showcase of my work in AI, machine learning, and software development

AI Recommendation System
Featured

AI Recommendation System

Machine Learning

Advanced recommendation system using collaborative filtering and deep learning techniques. Built with Python and Streamlit for real-time recommendations.

PythonStreamlitTensorFlowPandas+2 more
RAG-Enhanced Chatbot
Featured

RAG-Enhanced Chatbot

Natural Language Processing

Retrieval-Augmented Generation chatbot that combines large language models with dynamic knowledge retrieval for accurate, context-aware responses.

PythonLangChainOpenAI GPTVector DB+2 more
Resume Parser with NLP
Featured

Resume Parser with NLP

Knowledge Representation

Smart resume screening system combining advanced NLP with a rule‑based inference engine for explainable candidate evaluation.

PythonNLPspaCyFlask+2 more
CharitAble – Donation & Fundraising Prototype

CharitAble – Donation & Fundraising Prototype

Web Development

Solo‑built PHP/MySQL prototype for user registration, campaign posting, and donation tracking.

PHPMySQLHTMLCSS+1 more
Unity Carrom Board Game

Unity Carrom Board Game

Game Development

Physics‑based digital Carrom game with single‑player AI and local multiplayer support.

C#UnityUnity PhysicsUI Toolkit
Custom CNN for Chest X-ray Disease Classification (Thesis)

Custom CNN for Chest X-ray Disease Classification (Thesis)

Research

Thesis project: Built and fine-tuned a custom CNN to classify 11 chest X-ray findings (COPD, Scoliosis, Air Trapping, etc.) on the PadChest dataset, achieving 96% accuracy.

PythonPyTorchCNNPadChest Dataset+2 more

Get In Touch

Ready to collaborate on your next AI project or discuss research opportunities? Let's connect and create something amazing together.

Let's Talk

I'm always interested in discussing new opportunities, research collaborations, or innovative AI projects. Whether you have a question about my work or want to explore potential partnerships, feel free to reach out.

Phone

7059219299

Location

Ontario, Canada

Connect with me

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