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I am a Machine Learning and AI Scientist focusing on agricultural decision-support systems and crop modeling. With over 7 years of experience, I adeptly design and deploy machine learning models for crop yield, climate risk, and nutrient-sensitive agricultural systems. My goal is to translate agronomic knowledge into production-ready AI systems that are robust and usable in real-world applications. I firmly believe in leveraging technology for sustainable farming practices.…I am a Machine Learning and AI Scientist focusing on agricultural decision-support systems and crop modeling. With over 7 years of experience, I adeptly design and deploy machine learning models for crop yield, climate risk, and nutrient-sensitive agricultural systems. My goal is to translate agronomic knowledge into production-ready AI systems that are robust and usable in real-world applications. I firmly believe in leveraging technology for sustainable farming practices.

Hamid Kamangir

AI Engineer, Data Scientist, Programmer, +2

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I am a Machine Learning and AI Scientist focusing on agricultural decision-support systems and crop modeling. With over 7 years of experience, I adeptly design and deploy machine learning models for crop yield, climate risk, and nutrient-sensitive agricultural systems. My goal is to translate agronomic knowledge into production-ready AI systems that are robust and usable in real-world applications. I firmly believe in leveraging technology for sustainable farming practices.…I am a Machine Learning and AI Scientist focusing on agricultural decision-support systems and crop modeling. With over 7 years of experience, I adeptly design and deploy machine learning models for crop yield, climate risk, and nutrient-sensitive agricultural systems. My goal is to translate agronomic knowledge into production-ready AI systems that are robust and usable in real-world applications. I firmly believe in leveraging technology for sustainable farming practices.

Available to hire

I am a Machine Learning and AI Scientist focusing on agricultural decision-support systems and crop modeling. With over 7 years of experience, I adeptly design and deploy machine learning models for crop yield, climate risk, and nutrient-sensitive agricultural systems. My goal is to translate agronomic knowledge into production-ready AI systems that are robust and usable in real-world applications. I firmly believe in leveraging technology for sustainable farming practices.

Skills

Python

Data Science

Experience Level

Python

Expert

Data Science

Expert

Work Experience

Senior Remote Sensing Research Scientist at Corteva Agriscience

August 1, 2023 - Present

Designed and implemented AI-driven decision-support models for crop yield and management optimization, integrating soil, climate, irrigation, and genotype data into a unified recommendation framework. Developed hybrid rule-based + machine learning pipelines to support agronomic decision logic, enabling scenario-based recommendations under varying environmental and management constraints. Built cloud-native backend systems on AWS for data validation and model serving.

Research Scientist Intern at Microsoft

May 1, 2023 - September 1, 2023

Developed scalable multimodal AI pipelines for environmental forecasting, integrating large climate datasets into cloud-based ML systems. Implemented model evaluation, monitoring, and backend workflows to support reproducible experimentation.

Research Associate II at Texas A&M University

January 1, 2020 - August 1, 2020

Built 3D CNN (FogNet) and physics-informed ViT for coastal fog nowcasting; published methods and collaborated with NWS forecasters on usability. Curated multi-sensor datasets and designed operational-style benchmarks.