Sudip Laudari

Researcher

Applied mathematician and AI/ML researcher specialising in mathematical modelling, computational geometry, computer vision, remote sensing, geospatial analysis, generative AI, AI agents, and agentic RAG for engineering and built-environment systems. I combine academic rigour with practical implementation to build reproducible, deployable, research-led solutions for complex engineering problems.

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  • Research interests: Applied Mathematics, Mathematical Modelling, Graph Theory, Matrix Theory, Computer Vision, Deep Learning, Remote Sensing, Geospatial Analysis, Agentic AI Systems, and Geotechnical Data Analysis
  • Academic direction: Research-led Teaching, Supervision, Translational Engineering
  • Professional focus: Reproducible Pipelines, Deployable AI Systems, Real-world Engineering Applications

Academic Foundation

Academic Degrees

Honours & Scholarships

  • Faculty of Engineering Scholarship, The University of Sydney
  • International Student Scholarship, Sungkyunkwan University
  • International Class Scholarship, Sungkyunkwan University
  • Graduate Assistant Tuition Waiver, Sungkyunkwan University
  • Excellent Manpower Training Scholarship, Sungkyunkwan University

Experience & Skills

Experience 5+ years

Feb 2024 - Present

Researcher

WIZCORE (CADian Inc.), Seoul, South Korea

Developed mathematical modelling and AI-based pipelines for 2D-to-3D CAD generation, CAD vectorisation, DWG layer standardisation, internal RAG systems, and production-ready tools for engineering automation.

2021 - 2022

Data Scientist

Soul Energy, Seoul, South Korea

Built time-series forecasting, anomaly detection, and GIS-based renewable energy planning models using statistical and deep learning methods.

2019 - 2021

AI/ML Engineer

InterMinds, Seoul, South Korea

Built smart retail AI prototypes, REST-integrated inference services, and reinforcement learning workflows for adaptive traffic control.

Skills

Mathematics & Modelling

  • Mathematical Modelling
  • Numerical Methods
  • Optimisation
  • Graph Theory
  • Matrix Theory
  • Computational Geometry

AI & Machine Learning

  • Deep Learning
  • PyTorch
  • TensorFlow
  • Time-Series Analysis
  • Anomaly Detection
  • Probabilistic Modelling
  • Bayesian Methods
  • Statistical Learning
  • Model Evaluation
  • Experiment Pipelines

Generative AI & Agents

  • LLMs
  • RAG
  • Retrieval Design
  • Fine-Tuning
  • Instruction Tuning
  • AI Agents
  • Tool Use
  • Workflow Orchestration
  • Task Automation
  • Production AI Systems

Backend & Server-Side

  • Backend Development
  • REST APIs
  • API Integration
  • FastAPI
  • Flask
  • Server Deployment
  • Docker
  • Linux
  • PostgreSQL
  • Nginx

Vision, Remote Sensing & Geospatial

  • Computer Vision
  • Object Detection
  • Segmentation
  • OCR
  • Remote Sensing
  • Satellite Imagery
  • Aerial Imagery
  • GIS
  • Geospatial Analysis
  • Spatiotemporal Analysis
  • Infrastructure Analytics

Engineering & Scientific Computing

  • Geotechnical Data Analysis
  • Simulation-Informed Modelling
  • Granular Materials
  • Particle Kinematics
  • DEM Simulation
  • Digital Twins
  • Digital Construction
  • Python
  • C++
  • SQL
  • NumPy
  • Pandas
  • Matplotlib

Publications & Patents

Publications

Patents(Pending)

  • CAD Drawing-Based AI System for Automatic Generation of Structured Models
    • Republic of Korea
    • Application No. 10-2025-0147049
    • Filed in 2025
  • Projection Optimization System for Object Mapping Based on CAD Drawing Layers
    • Republic of Korea
    • Application No. 10-2025-0147050
    • Filed in 2025
  • Standard Bounding Box Correction System Based on AI Object Detection
    • Republic of Korea
    • Application No. 10-2026-0071858
    • Filed in 2026
  • Drawing Style Learning-Based Automatic Dimensioning System
    • Republic of Korea
    • Application No. 10-2026-0071859
    • Filed in 2026

Selected Projects

Computer vision and machine learning

Computer Vision & ML

Detection, segmentation, classification, and visual reasoning systems for real-world image and video tasks.

View on GitHub
Generative AI systems

Generative AI

LLM applications, content generation, multimodal workflows, and prompt-driven research prototypes.

View on GitHub
AI agent workflows

Agent Collection

Tool-using assistants, workflow automation, retrieval pipelines, and task-focused agent systems for research and production.

View on GitHub

Vectra

A privacy-focused local AI coding assistant with agent tools, model discovery, workspace context, and a companion web app.

View on GitHub
Scientific machine learning research

Research

Centrality-aware pruning, augmentation methods, graph analysis, and reproducible experiments for efficient learning systems.

View on GitHub
DMP and echo state network pruning method from the research paper

DMP & ESN

Dynamical movement primitives and reservoir computing for adaptive motion learning, control, and network pruning research.

View on GitHub
Data science and analytics

Data Science

Statistics, forecasting, anomaly detection, geospatial analysis, and end-to-end experiments on practical datasets.

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Digital twin and floorplan reconstruction

Digital Twin

Floorplan reconstruction and spatial intelligence connecting physical assets with interactive digital representations.

View on GitHub

For other projects visit here: GitHub profile