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alex aswan

@alexaswan

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Machine Learning Engineer specializing in geospatial models and predictive analytics for environmental monitoring.

Kenya

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What I'm looking for

I seek a Machine Learning role focusing on geospatial models, scalable pipelines, and operational deployment in mission-driven teams that value collaboration and impact.

I am a Machine Learning Engineer with five years of experience building geospatial ML models and predictive analytics solutions that support environmental monitoring and disaster response.

I have designed and optimized training pipelines using TensorFlow and PyTorch, built large-scale raster processing workflows with GDAL, rasterio and Google Earth Engine, and delivered satellite-based models for drought forecasting and crop mapping.

I have applied ML to humanitarian contexts by developing vulnerability models, automating field-data pipelines and dashboards, and improving operational efficiency for crisis-response teams.

I focus on reliable model training and evaluation—implementing benchmarking suites, trajectory evaluations for LLMs, and agent task decomposition—to drive deployable, production-ready solutions that scale.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Independent

Jan 2023 - Present (2 years 10 months)

Design ML training pipelines using TensorFlow and PyTorch and convert open-ended ML tasks into structured, agent-executable reinforcement learning tasks to improve clarity and execution.

TensorFlow PyTorch RL Task Design Python Docker

Machine Learning Engineer

Kenya Space Agency

Jan 2022 - Dec 2023 (1 year 11 months)

Developed geospatial ML models for satellite-based environmental monitoring and drought forecasting and built large-scale raster processing pipelines to support national Earth-observation projects.

Geospatial GDAL Rasterio Google Earth Engine Satellite Imagery Drought Prediction Python Spatial Analysis

Data & Machine Learning Engineer

Kenya Red Cross Society

Jan 2021 - Dec 2022 (1 year 11 months)

Analyzed geospatial and demographic data to enhance disaster response and developed ML-assisted vulnerability models while automating dashboards and field-data pipelines for crisis teams.

Geospatial analysis Dashboard Automation Data Pipelines Python GIS

Machine Learning Engineer

TechBridge Analytics

Jan 2020 - Dec 2021 (1 year 11 months)

Developed and optimized ML training pipelines to improve predictive analytics, implemented natural-language task plans for agent automation, and evaluated LLM-generated trajectories to identify and correct error patterns.

Predictive Analytics Python Optimization