CV

Navid Jadidoleslam

Senior Data Scientist

🔗 LinkedIn

Summary of Qualifications

Results-driven Machine Learning Engineer with over six years of experience designing, building, and deploying scalable AI/ML systems. Expertise in the end-to-end model lifecycle, from data pipelining and training to operationalization with CI/CD and MLOps best practices. Proficient in cloud environments (GCP, AWS) and modern ML frameworks (TensorFlow, PyTorch), with specialized experience in Geospatial AI, RAG, and model optimization. Adept at collaborating with cross-functional teams to translate complex business needs into actionable AI solutions that drive organizational success.

Work Experience

Senior Data Scientist

Bayer Crop Science (via Cognizant since Apr 2025) | Jul 2023 -- Present
Seed Production Innovation

  • Lead the end-to-end development lifecycle of AI/ML models, from problem definition and data exploration to model building, validation, and deployment.
  • Develop, optimize and deploy CI/CD pipelines for physics-infused hybrid ML models recommendation models for optimal operations recommendations, integrating multi-source real-time datasets
  • Utilized cloud-based resources to generate discovery reports and web applications, accelerating the development of funding proposals and fast-paced Proof-of-Concepts.
  • Developed and implemented model monitoring and retraining strategies to ensure the long-term effectiveness of deployed AI solutions.
  • Collaborated with cross-functional teams, including business stakeholders and engineering teams, to translate business needs into actionable AI initiatives.
  • Mentored and worked with junior data scientists to implement best practices in AI development, contributing to the team's collective growth and success.

Data Scientist

Bayer Crop Science (via contractor) | Aug 2022 -- Jul 2023
Breeding

  • Developed and validated a GAN/CNN-based super-resolution deep learning model using Keras to enhance satellite imagery, improving spatial representation and time cadence for field monitoring.
  • Developed and deployed satellite ordering and processing software, reducing employee effort for satellite data ordering and tracking by up to 50%.
  • Designed, developed and deployed OOP software for calculating real-time vegetation indices from multispectral imagery, increasing data delivery speeds by up to 40%.
  • Engineered CI/CD pipelines for physics-based soil moisture model with end-to-end functionalities including data acquisition and QC. Integrated a Bayesian framework that improved model prediction accuracy by 22%.

Postdoctoral Research Fellow

Georgia Institute of Technology, Atlanta, GA | Jul 2021 -- Aug 2022

  • Developed and deployed global scale physics-based models and Bayesian methods High Performance Computing (HPC).
  • Engineered data workflows for an ensemble-based probabilistic model for global soil moisture prediction, leveraging Google Earth Engine for distributed big data analytics.

Graduate Research Assistant

The University of Iowa, Iowa City, IA | Aug 2016 -- May 2021

  • Developed geospatial data pipelines for an operational flood forecasting model for spatiotemporal data storage and automated data ingestion from NASA/NOAA servers.
  • Refactored codebase for real-time flood forecasting model written in C & MPI and created a Python API for ensemble model an HPC environment.
  • Created an open-source, SaaS platform (Hydrovise) for big-data geospatial visualization using JavaScript and WebGL, utilized by National Weather Service offices for real-time flood warning decisions.

Technical Skills

AI / ML: TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, LLMs, RAG, Fine-Tuning

Cloud Platforms: AWS (Cloud Solution Architect Associate Level), Google Cloud (BigQuery, Vertex AI, AppEngine, ComputeEngine, DataFlow)

Programming: Python, SQL, JavaScript, HTML, CSS, WebGL, Flask (dashboarding purposes), FastAPI

Tools & Platforms: Docker, Git, Google Earth Engine, Apache Airflow, HPC, QGIS, C/C++, MPI

Education

PhD | Civil & Environmental Engineering, The University of Iowa | 2016 -- 2021

MSc | Civil Engineering, Istanbul Technical University | 2012 -- 2014

BSc | Civil Engineering, University of Tabriz | 2007 -- 2012

Certifications

  • Amazon: Solution Architect Associate Level
  • Google: Project Management Professional Certificate
  • Oracle: Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
  • Google Cloud: Data Engineering, Big Data, and Machine Learning on GCP Specialization
  • NVIDIA: Generative AI - Sales AI Advisor & NVIDIA Technologies Curriculum
  • DeepLearning.AI: Deep Learning Specialization

Publications

Google Scholar Profile


Creative Commons License