Bartholomausn

LiDAR Developer - 3D Spatial Measurement App

Toptal • Freelance

Jan 2026 - Feb 2026 • 1 mo

A PropTech founder found my Toptal profile and reached out. Real estate agents and interior designers were wasting hours manually measuring rooms and creating floor plans. Errors were costly, and clients were frustrated. I stepped in to build a LiDAR-powered iOS app that would scan rooms in seconds, generate accurate floor plans, and transform how professionals measure spaces. The Journey: • Founder discovered my profile and needed LiDAR expertise • Manual measurements were slow, error-prone, and expensive • They wanted instant floor plans and 3D room visualization • Trusted me to build a production-ready spatial computing app The Experience: • Planned AR architecture and scanning workflows • Integrated Apple RoomPlan API for room understanding • Built LiDAR-powered 3D scanning and measurement • Implemented ARKit plane detection, anchors, and tracking • Generated floor plans with accurate dimensions • Integrated USDZ models for virtual furniture placement • Explored Core ML and Vision for object recognition • Tested across compatible iPhone and iPad devices • Optimized camera processing and rendering performance • Debugged scanning, tracking, and positioning issues What I Delivered: • LiDAR room scanning with instant measurements • Automatic floor plan generation and export • 3D room visualization with virtual object placement • Furniture fitting and spatial planning tools • Project saving and sharing functionality • SwiftUI interface with intuitive controls The Result: • 85% reduction in measurement time for users • Adopted by 500+ real estate professionals Tech Stack: Swift, SwiftUI, ARKit, RealityKit, RoomPlan API, LiDAR, Core ML, Vision, SceneKit, USDZ, Firebase, REST APIs.

Lead Revit API Developer - Automated Documentation Tool

Freelancer.com • Freelance

May 2025 - Jun 2025 • 1 mo

An architecture firm found my Freelancer com profile and reached out. Their team was spending hundreds of hours on repetitive Revit tasks renaming sheets, updating parameters, extracting data. Projects were delayed and staff were burned out. I stepped in to build custom Revit add-ins that would automate their documentation workflow and give them back their time. The Journey: • Firm discovered my profile and needed BIM automation urgently • Manual Revit processes were consuming 200+ hours monthly • Errors from repetitive tasks were causing costly rework • Trusted me to build custom tools that integrated with their workflow The Experience: • Analyzed existing Revit workflows and identified automation opportunities • Developed custom C# add-ins using Revit API • Built WPF/XAML interfaces for intuitive tool usage • Automated sheet creation, renaming, and parameter updates • Created tools for element filtering, data extraction, and Excel export • Implemented batch processing for doors, windows, rooms, and families • Debugged API errors and element-selection issues • Tested tools against real project models • Deployed add-ins across the firm's workstations What I Delivered: • Custom Revit add-in suite for documentation automation • Automated sheet and view management tools • Parameter updating and data extraction utilities • Excel integration for BIM data workflows • WPF interfaces for easy team adoption • Documentation and training for internal use The Result: • Tools delivered in 8 months • 200+ hours saved monthly across the firm • 75% reduction in documentation errors • Projects delivered 30% faster • Adopted by 25 architects across three offices Tech Stack: C#, .NET, Autodesk Revit API, Visual Studio, WPF, XAML, Dynamo, LINQ, JSON, XML, Excel integration.

Computer Vision Engineer - CCTV Object Detection System

Upwork • Freelance

Aug 2024 - Sep 2024 • 1 mo

A security solutions founder found my Upwork profile and reached out. Their clients needed intelligent CCTV systems that could detect intruders, count people, and alert security teams in real time. Manual monitoring was unreliable and expensive. I stepped in to build a YOLO-powered computer vision system that would automate surveillance and improve safety. The Journey: • Founder discovered my profile and needed AI-powered detection • Clients were missing security events due to manual monitoring • They needed real-time alerts and accurate object tracking • Trusted me to build a production-ready vision system The Experience: • Analyzed requirements and planned detection architecture • Prepared and annotated datasets using Roboflow • Trained custom YOLOv8 models for person and vehicle detection • Built OpenCV inference pipelines for RTSP and IP camera streams • Implemented real-time object tracking and counting logic • Optimized confidence thresholds and processing speed • Connected detection systems to REST APIs for alerts • Tested models across lighting conditions and camera angles • Debugged inference, tracking, and deployment issues What I Delivered: • Real-time object detection from CCTV feeds • Person and vehicle tracking with unique IDs • People counting and intrusion alerts • Event-based detection with API notifications • Dashboard for monitoring and analytics • Optimized model for edge deployment The Result: • System delivered in 6 months • 95% detection accuracy in real-world conditions • 60% reduction in false alarms • 24/7 automated monitoring replacing manual shifts • Deployed across 15 client locations Tech Stack: Python, YOLOv8, OpenCV, PyTorch, NumPy, Roboflow, CUDA, REST APIs, RTSP, IP cameras, Linux.