About

About

I am a graduate student at McGill University pursuing an MEng in Electrical Engineering with a concentration in Intelligent Systems.

My interests sit at the intersection of machine learning research and applied AI engineering. I am interested in developing machine learning systems and models, with a focus on computer vision, multimodal learning, and scientific applications of machine learning.

Current focus

• Multimodal retrieval and vision-language systems
• Deep learning for structured and unstructured data
• Representation learning and anomaly detection
• Model evaluation, ablations, and interpretable experimentation

Education

McGill University — Montreal, Canada

MEng in Electrical Engineering, concentration in Intelligent Systems
January 2025 – Ongoing
CGPA: 3.58 / 4.00

Islamic University of Technology — Gazipur, Bangladesh

BSc in Mechanical Engineering
January 2019 – May 2023
CGPA: 3.34 / 4.00

Thesis: Significant Wave Height Prediction with Machine Learning

Experience

Expert AI Data Trainer (Mathematics) — Invisible Technologies

Remote · February 2024 – December 2024

• Annotated domain-specific technical data for large language models under confidentiality constraints.
• Produced structured reasoning annotations for problems in combinatorics, probability, and number theory.

Teaching

Teaching Assistant — McGill University

ECSE-552: Deep Learning · Winter 2026

Technical skills

Languages: Python, C/C++, MATLAB, R, SQL, Julia, Markdown, LaTeX, Git, Bash
ML / Data: PyTorch, TensorFlow, JAX, fastai, PyTorch Lightning, scikit-learn, Keras, XGBoost, LightGBM, CatBoost, Pandas, CuDF, OpenCV, FAISS, spaCy
Visualization / Tools: Matplotlib, Plotly, Seaborn, Origin
Hardware / Robotics: Arduino, Pixhawk, Actuators and Positional Feedback Sensors, ROS, Ardupilot
CAD/CAM: SolidWorks