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🌾Agriculture Tech

I'm supporting AgTech innovation since 2015 through software product R&D

From building precision and sustainable farming SaaS for over 10,000 farmers to designing AI-first digital agronomy pipelines, my focus is on solving real-world agricultural challenges.

Whether applying computer vision to livestock or deploying LLMs for predictive farming, I specialize in turning complex field data into practical, scalable tools.

Digital Agronomy & Predictive Farming

FinAgra (2025–Present, India & Kenya)

As Head of Tech, I'm building the technology engine for a new agriculture venture designed to put capital and modern agronomy into the hands of 1000+ rural agripreneurs in Kenya and India.

  • An AI-first architecture from scratch to scale to thousands of farms.

  • A data-driven digital agronomy pipelines powered by LLMs and machine learning algorithms.

  • Predictive farming initiatives utilizing modern multi-agent systems to select right lands & crops.

I'm hiring technical product owners, AI & software engineers. Contacts me if you have AgriTech experience or wish to built bits for atoms.

Precision Farming & Carbon Tracking

MyEasyFarm & MyEasyCarbon (2017–2024, France, Italy, Brazil)

Operating as the Agritech R&D Partner, I led an external R&D team that successfully scaled a precision farming idea into a multi-product agritech SaaS serving over 10,000 farmers across Europe and Brazil. Over my seven-year tenure, I managed key tech hires and engineering operations for this award-winning, VC-backed startup.

ExactFarming (2015, Russia & CIS, Sri Lanka)

I contributed to the product design of leading precision farming SaaS to help optimize crop management, field mapping, and agronomic operations.

Yield Forecasting & Field Workflows

Lima Labs (2025, Kenya)

Operating as a Product Design Consultant, I helped shape Lima Labs' agritech products to solve for real field workflows. By shifting away from complex mobile dashboards to visual insights displayed on central TVs, we drastically improved adoption. This practical approach helped field teams spot trends and yield shifts earlier.

Computer Vision in Agriculture

AiTend (2020, Switzerland)

As a Solution Consultant, I helped design a computer vision system for dairy farms that utilized advanced pose estimation to detect unique cows. The pipeline continuously monitors their health states and rumination periods, turning physical farm activity into structured health data.

Agro Hackathon (2020, Russia)

Operating as Team Lead during a 40-hour competition, I guided a team to develop a machine learning solution utilizing Sentinel satellite imagery (analyzing NIR, SWIR1, and RED bands) to determine agricultural lands prone to waterlogging. We built a production-ready web application allowing users to select an examination area and observe visual computation results via GeoJSON exports.

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