FULL-STACK DEVELOPER & DATA SCIENTIST
VAIDIK DHULL.
Building intelligent systems at the intersection of machine learning, backend engineering, and full-stack development.
Engineering
Intelligence.
I'm a developer passionate about building data-driven systems that solve real-world problems. From district-level crop yield forecasting to full-stack web platforms and robust backend APIs, I turn complex data into actionable insight.
As Lead Web Developer at AAGA Women Empowerment NGO and Events Team Head at ACM, I combine technical depth with leadership — delivering sessions on ML to audiences of 5,000+ and managing cross-functional teams.
Core Skills
What I Do.
Machine Learning & Data Science
XGBoost yield models, climate risk prediction, geospatial data pipelines with ERA5/NetCDF, and production ML systems for agricultural forecasting.
Full-Stack Development
End-to-end web applications using ReactJS, JavaScript, Python backends, MySQL databases, and modern deployment with Git and Linux.
Data Engineering & Analysis
ETL pipelines, geospatial processing, ECMWF CDS API integration, and advanced statistical modeling with Ridge Regression and xarray.
Selected Work.
India Wheat Yield Alpha Signal
District-level wheat yield forecasting system covering 128 districts across 5 states, signaling 4–8 weeks before official GOI data release.
AgroBoard
XGBoost-powered yield calculation dashboard app for smallhold villagers, supporting yield prediction and agricultural decision-making.
AAGA Women Empowerment
Led web development for AAGA NGO — coordinating team efforts, overseeing project execution, and building production-ready platforms.
Agro Yield Model Paper
Currently publishing research on agro-yield modeling for smallhold farmers using climate data and machine learning techniques.
Let's Connect.
Interested in collaborating on ML projects, web development, or data engineering? I'm always open to discussing new opportunities and innovative ideas.