Senior Machine Learning Engineer | 6+ Years Experience | Computer Vision, LLM, BIM

Technical Skills

• Programming: Python, C++, C# (Revit API)
• Machine Learning: YOLO, Vision Transformers, LangGraph, RAG, FAISS, TensorFlow
• Software and Tools: Revit, Blender, PCL, AWS Serverless (Lambda, API Gateway, S3, SageMaker), Git
• Other: Point Cloud Processing, 3D Modeling

Work Experience

BIMBrain Consulting (2025/01 – Present)

• Founder and AI Developer
• Developing AI-Agents for BIM engineers to automate manual, repetitive tasks in Revit
• Implemented RAG solutions to automatically apply industry standard codes
• Implemented vector-based databases for short-term and long-term memory (FAISS)
• Implemented a chat-based Revit plugin in C#

Carbon Technologies (2024/05 – 2025/04)

• Senior Computer Vision Engineer
• Led the development of smart home products and guided a team of two ML developers
• Trained a YOLO-based object detection model selected among YOLO, EfficientDet, DETR
• Conducted research in VLM ViTs, Swin Transformers, MAE and selected Moondream2

Uman3D (2022/10 – 2024/04)

• Senior 3D Machine Learning Engineer
• Spearheaded the development of AR/VR applications using C++ and Python integrating advanced ML techniques
• Led and mentored a team of four ML engineers in designing robust and scalable software solutions
• Enhanced system efficiency and performance by optimizing software pipelines and introducing new methodologies

AIRM Consulting (2021/11 – 2023/02)

• Intermediate Computer Vision Engineer
• Developed a highly efficient PCL-based point cloud processing library in C++ significantly reducing data processing time
• Benchmarked PSTNet and P4Transformer for training a yield forecasting model using point cloud data
• Implemented georeferencing of point clouds and an end-to-end synthetic 3D data generation module using Blender

Skullscan Technologies (2019/10 – 2021/11)

• Machine Learning Specialist
• Pioneered the use of neural networks for generating 3D models from 2D images using Python and TensorFlow
• Implemented an end-to-end pipeline on AWS using serverless endpoints API Gateway, Lambda, S3, SageMaker, CloudFront
• Contributed to the design and development of scalable and efficient backend infrastructure for cloud-based ML applications

Concordia University (2017/08 – 2019/12)

• Research Assistant
• Designed a LiDAR-equipped UAV platform for structural inspection
• Conducted research on point cloud semantic segmentation using deep neural networks

Education

Concordia University, Montreal, QC, Canada

• M.A.Sc. Building Engineering, Construction Management
• GPA: 3.85 (2019)