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YEAMINUR RAHMAN

AI / LLM ENGINEER   •   SOFTWARE DEVELOPER   •   HCI RESEARCHER

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ABOUT

Hello! I'm Yeaminur Rahman — an AI / LLM Engineer and software developer based in Halifax, Nova Scotia, Canada. I build LLM-powered backend pipelines, intelligent agents, and Retrieval-Augmented Generation systems, with a research background in Human-Computer Interaction and maritime data visualization.

EMAIL yeaminur.rahman1@gmail.com
LOCATION 206-1094 Wellington Street, Halifax, NS, Canada
LINKEDIN linkedin.com/in/yeaminurrahman
GITHUB github.com/yeaminurr
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EXPERIENCE

AI / LLM Engineer (Software Development)

Oct 2025 – Present
Datifex — Halifax, NS, Canada
  • Developing and managing LLM-based backend pipelines for intelligent model routing (Agents), and orchestration.
  • Designing human–LLM interaction workflows.
  • Designing and developing Retrieval-Augmented Generation (RAG) systems.
  • Integrating LLM workflows with real-time 3D vessel visualization software.

Research Assistant

Sep 2023 – Sep 2025
Graphics & Experiential Media (GEM) Lab — Dalhousie University
  • Conducted research on maritime data analytics and visualization.
  • Designed and evaluated large-display visualizations and interaction techniques.
  • Collaborated on research projects involving HCI, AR/VR, data visualization, and data analytics.

Mitacs Accelerate Intern — Data Visualization & Software Development

May 2024 – May 2025
Glas Ocean Electric — Halifax, NS, Canada
  • Developed real-time dashboard software to visualize vessel data and support fuel-efficient navigation.
  • Worked with onboard sensors and maritime hardware to collect and display live operational data.
  • Developed and designed eco-driving and route visualization features for vessel dashboards.
  • Supported research to improve navigation efficiency and user experience.

Management Trainee — Technology

Sep 2022 – Aug 2023
Grameenphone (Telenor) — Dhaka, Bangladesh
  • Developed features and modules for in-house employee management software.
  • Analyzed data to support efficient and informed software development processes.
  • Ensured agile operations across cross-functional teams.

Intern — Data Analysis & Automation

Apr 2022 – Sep 2022
Nestlé — Dhaka, Bangladesh
  • Imported sales and inventory data from ERP systems and integrated it with visualization tools for real-time business insights.
  • Performed data preprocessing and analysis to generate actionable insights.
  • Developed Microsoft Power Apps software and Flows.
  • Managed Automation Software and Power BI dashboards.

Student Tutor

Feb 2020 – Dec 2021
BRAC University — Dhaka, Bangladesh
  • Courses taught: Data Structures, Programming Language I.

EDUCATION

2023 — 2025

Master of Science, Computer Science

Dalhousie University — Halifax, NS, Canada
GRADE4.07 / 4.30

Research Domain: Human-Computer Interaction, Data Visualization, Software Development.

2017 — 2022

B.Sc., Computer Science & Engineering

BRAC University — Dhaka, Bangladesh
CGPA3.75 / 4.00

Research Domain: Machine Learning, Artificial Intelligence, Data Science.

TECHNICAL SKILLS

LANGUAGES

Python JavaScript Java SE

WEB DEVELOPMENT

ReactJS Node.js WebSocket Django MongoDB PostgreSQL

DATA & ML

Scikit-learn TensorFlow Hugging Face vLLM LangChain LangGraph PySpark

TOOLS & PLATFORMS

Tableau Power BI Metabase ERP Analytics Figma LaTeX

VERSION CONTROL

Git GitHub

PROJECTS & PUBLICATIONS

Eco-Driving Feedback & Historical Route Visualization for Maritime Operations

Evaluating the impact of feedback and visualization systems on fuel efficiency and decision-making.

WebSocketLeaflet.jsMongoDB D3.jsFlaskReactJS Node.jsNMEA DecoderTobii Pro Lab

Visual Analytics in Maritime Operations

Enhancing vessel analytics via AIS and Radar integration with predictive AI and clustering.

PythonGeoPandasScikit-learn MongoDBLeaflet.jsD3.js FlaskReactJSNode.js

Visual Insights into Maritime Anomalies

Techniques and applications for ship trajectory anomaly analysis.

ReactJSNode.jsMongoDB PythonGeoPandasLeaflet.js
PUBLISHED

CRAM: Credit Risk Assessment Model

Comparative analysis of machine learning algorithms for credit risk assessment.
4th International Conference on Information and Communications Technology (ICOIACT).

PythonPandasScikit-learn DjangoMySQL
PUBLISHED

Real-Time Patient Ailment Monitoring

Enhanced CNN architectures for real-time patient ailment monitoring.
11th IEEE Int'l Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS).

PythonTensorFlowGoogle Speech API Django
PUBLISHED

Superstore Business Framework via Clustering

A comprehensive framework for superstore business using clustering techniques.
24th International Conference on Computer and Information Technology (ICCIT), 2021.

PythonPandasScikit-learn

IoT-Based Automated Miner Tracking & Hazard Monitoring

An IoT system to track miners and monitor on-site hazards in real-time.

ArduinoDjango

HONOURS & AWARDS

★

Dalhousie University

Awarded full funding for the Master's program (Sep 2023 – Sep 2025).

★

BRAC University

  • Special Recognition Award in Data Science by the Vice-Chancellor.
  • Graduated with High Distinction.
  • Listed twice on Vice Chancellor's Honour List.
  • Listed on the Dean's Honour List.
★

Robi Datathon 2.0

  • Top Data Engineer — Robi Axiata Ltd, powered by AWS.
  • Second Runner-Up overall.

Bangladesh's largest datathon — 400+ teams, 2,800+ participants from 70+ universities across 11 countries.

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