cv

Basics

Name Kunle Sunday Oguntoye
Label Ph.D. Student
Email oguntoye@iastate.edu
Url https://Kunle-xy.github.io
Summary Innovative researcher and data scientist with a strong background in civil engineering, artificial intelligence, and computer vision. Pursuing a PhD in Intelligent Infrastructure Engineering at Iowa State University, I develop predictive models and multimodal sensing systems for pavement performance, infrastructure monitoring, and digital twin applications. My expertise spans MLOps, UAV-based data collection, and geospatial analytics—bridging data science and engineering to enhance decision-making, safety, and sustainability.

Work

  • Jan. 2022 - Dec. 2026
    Data Scientist | Researcher
    Iowa State University
    Developing AI/ML solutions for infrastructure monitoring and pavement performance prediction.
    • Developed and orchestrated an ELT pipeline using Apache Airflow for batch processing and ingestion of Iowa DOT raw pavement performance data into Google Cloud BigQuery
    • Developed advanced SQL queries for fast automatic segmentation of roadways into user-defined road lengths in BigQuery cloud service
    • Developed high-speed predictive analytics models for forecasting pavement conditions using multimodal data, including maintenance text records and nationwide pavement datasets
    • Optimized machine learning models on cleaned datasets to accurately predict future concrete strength
    • Developed comprehensive buried utility interconnection knowledge database for AI-based fuzzy model, enabling automatic mapping without excavation
    • Developed web application using React and Django for utility engineers to generate underground utility maps, reducing wait times by 60%
    • Identified critical missing data in pavement infrastructure big data and applied LLMs alongside XGBoost to predict missing maintenance information
    • Developed automated object detection framework using Faster R-CNN and YOLO for drone-based utility asset detection
  • Jan. 2022 - Dec. 2026
    GIS Specialist / UAV Operations
    Iowa State University
    Full-stack geospatial platform development and drone operations for infrastructure assessment.
    • Designed and implemented full-stack geospatial data processing platform for Iowa gravel road analysis, enabling automatic localization of surface defects with high accuracy
    • Developed comprehensive data collection plans with GCP maps in ArcGIS Pro, improving data quality and operational efficiency
    • Operated UAVs as licensed FAA remote pilot, processing imagery into orthophotos and DEMs
    • Developed automated ArcGIS Python toolboxes for DEM analysis, reducing pavement inspection time by 70%
    • Coordinated with airport and local County engineers for regulatory compliance and safe UAV operations
  • May 2023 - Aug. 2023
    Machine Learning Engineer Intern (Computer Vision)
    Musco Sport Lighting
    MLOps pipeline development and computer vision model deployment for people monitoring systems.
    • Championed design and deployment of end-to-end MLOps pipeline using Mlflow, TensorBoard, and AWS, improving GPU utilization by 15%
    • Spearheaded data collection strategy, leading field teams in camera system installation across multiple parks
    • Collaborated in Agile environment, completing internship project ahead of schedule through iterative development and cross-team coordination
    • Developed optimized algorithms and scripts to stitch key features from dual-camera images with overlapping views
    • Developed end-to-end machine learning models on AWS using S3 and SageMaker's built-in algorithm
    • Conducted hyperparameter tuning on YOLOv5 for improved object detection of soccer balls in video frames
  • Feb. 2021 - Dec. 2021
    Graduate Project Manager
    Seflam SGI
    Project management for engineering, procurement, and construction (EPC) company serving Oil and Gas companies.
    • Championed 3D modeling of mechanical and safety equipment at Nigeria LNG facility using LiDAR and Leica Cyclone, cutting inspection time by 50%
    • Collaborated with project management and third-party logistics to track, monitor, and resolve project-related issues
    • Managed project bidding documentation, task scheduling, and comprehensive risk assessments
    • Selected as company representative at 2021 National Oil and Gas Conference
    • Designed and delivered training programs for new employees and interns on proprietary software
  • Jun. 2020 - Feb. 2021
    Graduate Civil Engineer
    Nexant Consulting LLP
    Quality control and construction inspection for civil engineering projects.
    • Led on-site quality control for 50+ material batches; enforced compliance for concrete and rebar, reducing rejection rates by 18%
    • Conducted 40+ phased inspections across formwork, rebar placement, pouring, and curing; resolved 25 critical deviations before final acceptance
  • Aug. 2017 - Feb. 2018
    Undergraduate Intern
    Morgan Omonitan and Abe Ltd.
    Structural engineering internship in Lagos, Nigeria.
    • Developed automated Excel spreadsheet with VBA macros for pile foundation design, cutting design time by 70% for 200+ piles across 5 bridge projects
    • Prepared detailed structural specifications using AutoCAD and Revit, ensuring 100% compliance
    • Modeled 5+ reinforced concrete and steel structures in SAP2000 and Robot Structural Analysis, reducing material costs by 12%
    • Performed 10+ on-site inspections, resolving 18 non-conformances before concrete placement

Education

  • Jan. 2022 - 2026.12

    Ames, IA

    Ph.D.
    Iowa State University
    Intelligent Infrastructure Engineering and Computer Science
    • Dissertation: Intelligent Computation in Infrastructure Monitoring
  • Jan. 2022 - 2024.05

    Ames, IA

    M.S.
    Iowa State University
    Intelligent Infrastructure Engineering
    • Thesis: A Practical Framework for Automatic Underground Utility Mapping
  • Jun. 2014 - 2019.07

    Ibadan, Nigeria

    B.S.
    University of Ibadan
    Civil Engineering

Awards

Certificates

AWS Certified Machine Learning - Specialty
Amazon Web Services Sep. 2023
Machine Learning by Stanford
Coursera Mar. 2023
Computer Vision Nanodegree
Udacity Mar. 2023
FAA Remote Pilot License
Federal Aviation Administration Jan. 2023

Skills

Programming
Python
JavaScript
C++
Machine Learning & AI
TensorFlow
PyTorch
YOLO
Faster R-CNN
XGBoost
LLMs
Cloud & DevOps
AWS (S3, ECS, Lambda, SageMaker)
Docker
Kubernetes
CI/CD
MLOps
Mlflow
WandB
TensorBoard
Web Development
React
NextJS
Django
Flask
PostgreSQL
Geospatial & UAV
ArcGIS Pro
UAV Operations
Remote Sensing
Photogrammetry
Big Data
Apache Spark
SQL
AWS Glue
Athena

Languages

English
Native speaker

Interests

Research Areas
Quantitative Research
Data Science
Machine Learning
Computer Vision
Infrastructure Monitoring
Engineering
Personal
Chess
Soccer