Hi, I’m Husayn. I’m a Senior Data Scientist and Georgia Tech Ph.D. with over ten years of experience working with machine learning, geospatial analytics, and complex real world data. I enjoy taking messy information and turning it into insights that help people make better decisions.
My work spans remote sensing, environmental analytics, and applied AI, backed by models, pipelines, and dashboards I’ve built for researchers, engineers, and operational teams. I also mentor students and early career professionals who are developing their skills in data science and programming.
Grounded in civil engineering and hydrology, I bring a practical way of understanding complex systems, and that foundation still shapes how I approach data and problem solving. I now apply these skills across a wider range of fields where careful analysis can support meaningful, evidence based improvements in science, technology, and public health.
🔗 Portfolio: https://helsharif.github.io/
🔗 LinkedIn: https://www.linkedin.com/in/husayn-el-sharif
📍 Marietta, Georgia, USA
- Build ML and deep learning models for structured, unstructured, geospatial, and image data
- Design AI/LLM-powered systems (RAG, prompt engineering, multi-agent workflows)
- Develop scientific and production-grade pipelines with Python, SQL, Spark, and cloud services
- Create visual analytics dashboards to support decision-making for technical and non-technical users
- Deploy solutions using AWS, GCP, Docker, Streamlit, and other MLOps tools
- Mentor students and junior engineers in data science, modeling, and analytics workflows
Programming & Analytics
Python, SQL, R, MATLAB, Git, JupyterLab
Machine Learning & Data
NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, PySpark
AI Techniques
Machine Learning, Deep Learning, Computer Vision, Transfer Learning
GenAI & LLM
NLP, Prompt Engineering & Fine-Tuning, RAG, Vector Embeddings, LangChain, CrewAI
Data Visualization
Matplotlib, Seaborn, Plotly, Tableau
Cloud Platforms & MLOps
AWS, Google Cloud, Databricks, Snowflake, MLflow, Docker, Streamlit, Hugging Face
Geospatial Analysis
ArcGIS, QGIS, GeoPandas, Google Earth Engine
Satellite-based ML workflow to estimate chlorophyll-a, enabling compliance monitoring and decision support.
LSTM and climate-model integrations to forecast basin-scale agricultural demand.
Automated bias-adjustment pipeline + interactive web dashboard for multi-model climate projections.
Scalable churn models with experiment tracking and end-to-end ML workflow.
Retrieves regulatory records and ranks engineering prospects using LLMs and vector search.
EfficientNet-based multi-class classification pipeline for cataract, DR, glaucoma, and normal images.
CrewAI-based system that synthesizes scientific papers, cutting a 7-day manual review down to ~1 day.
LLM-powered voice workflow automating scheduling, rescheduling, and information retrieval.
Explore all projects on the live portfolio:
https://helsharif.github.io/#portfolio
Georgia Institute of Technology, School of Civil & Environmental Engineering
Mar 2021 – Present · Atlanta, GA
- Developed end-to-end ML applications and dashboards for near-real-time water quality monitoring in Georgia’s Lake Lanier, enabling proactive, data-driven decisions for the Gwinnett County Dept. of Water Resources.
- Applied deep learning models (RNN/LSTM) to forecast crop yield and irrigation demand, enhancing watershed-scale agricultural decision support.
- Built a multi-agent GenAI system (CrewAI + LangChain + GPT + Gemini LLMs) to automate hydrology literature review workflows, reducing a 7-day manual research process to 1 day and accelerating scientific reporting productivity by ~85%.
- Oversaw $400K+ in annual federal and state research projects as Assistant Director, Georgia Water Resources Institute.
- Mentored and supervised student researchers in data science methods, guiding successful publications, conference presentations, and career advancement.
4Earth, Inc.
Aug 2022 – Aug 2025 · Kennesaw, GA
- Developed physics and data-driven system models and AI-Ops pipelines for real-time AWS IoT sensor analytics, improving engineering efficiency and reducing time-to-market by 20%.
Georgia Institute of Technology, School of Civil & Environmental Engineering
May 2019 – Mar 2021 · Atlanta, GA
- Applied ML and geospatial analytics to improve predictive flood-risk models, delivering actionable intelligence for government and community resilience planning across East Africa.
- Developed ML techniques that improved climate forecast accuracy and spatial coherence by over 50%, strengthening data-driven insights for long-term water resources planning and policy.
Georgia Institute of Technology, School of Civil & Environmental Engineering
Sep 2012 – May 2019 · Atlanta, GA
- Applied ML to fuse multi-sensor NASA satellite imagery and climate time-series data, boosting accuracy of crop-yield, drought, irrigation, and streamflow forecasts and enabling basin-scale, data-driven water-management decisions across multi-decadal climate scenarios.
Florida Atlantic University, Dept. of Civil, Environmental, & Geomatics Engineering
May 2010 – Aug 2012 · Boca Raton, FL
- Built and validated ML models to reconstruct missing environmental data, improving accuracy and spatial consistency for hydrologic and climate analyses.
Georgia Institute of Technology (Atlanta, GA)
- Degree Awarded: May 2019
- GPA: 3.97
Georgia Institute of Technology (Atlanta, GA)
- Degree Awarded: May 2016
- GPA: 3.97
Florida Atlantic University (Boca Raton, FL)
- Degree Awarded: May 2011
- GPA: 3.81
- Graduated Magna Cum Laude
- FAU Presidential Honors List
Email: https://helsharif.github.io/#contact
GitHub: https://github.com/helsharif
Portfolio: https://helsharif.github.io/