[{"id":"getting-started","title":"From Precision Farming to Responsible AI: My Project Trajectory","description":"I reflect on the projects that shaped my approach to applied AI, including precision agriculture systems, geospatial engineering for public agencies, and responsible deployment practices.","date":"2026-04-02T00:00:00.000Z","tags":["applied-ai","precision-farming","project-management"],"authors":[],"url":"/blog/getting-started","content":"My project trajectory has been shaped by a single principle: applied AI should improve real systems in measurable ways. ## Early Applied Systems Work In the Young Innovators Program, I worked on Agro-Evolution for Precision Farming and Allied Sectors. As software development lead, I helped build AI-assisted nutrient delivery workflows for cultivar infrastructure. The project outcomes were practical and measurable: - Around 60% reduction in labor demand under software-assisted workflows. - Around 15% lower production cost compared with manual delivery methods. - Improved quality-of-produce indicators through optimized delivery planning. ## Engineering for Public-Sector Use Cases In subsequent roles, I worked as a project engineer and geospatial analyst on state-linked initiatives. My work included GIS product engineering for first responders and model development using remote sensing and on-site sensor streams. I also contributed as a project manager and business/IP manager, where I coordinated timelines, budget reporting, and technology protection workflows. ## Responsible AI and Professional Development To strengthen my cloud and AI deployment practice, I completed the Google Cloud Skills Boost track covering: - Large Language Models and Generative AI - Responsible AI fundamentals - Data transformation and modernization workflows - Security and operations on cloud platforms ## Current Direction I am now focused on rigorous, interdisciplinary research that combines machine learning, geospatial science, and sustainability goals. I am especially interested in work where technical depth and public impact can be pursued together."},{"id":"hello-world","title":"My Current Research Agenda in Geospatial AI","description":"I outline the questions I am investigating at IISER Thiruvananthapuram, from physics-informed graph learning for fire-risk analysis to climate-relevant forecasting.","date":"2026-04-01T00:00:00.000Z","tags":["research","geospatial-ai","physics-informed-ml"],"authors":[],"url":"/blog/hello-world","content":"I am currently pursuing an Integrated MS at IISER Thiruvananthapuram, and this post summarizes the research agenda that guides my present work. ## Core Questions I Am Working On 1. How can physics-informed graph models improve reliability in geospatial risk prediction? 2. How can remote sensing and ground-sensor streams be integrated for operational decision support? 3. How can we design data products that remain scientifically rigorous while being deployable in public systems? ## Ongoing Research Themes ### Physics-Informed Graph Learning for Fire-Risk Analysis I have been developing PI-GNN based workflows to model spatio-temporal wildfire spread in high-risk regions of Kerala. My objective is to bridge physical priors and data-driven inference so that predictions remain interpretable under changing field conditions. ### Time-Series Forecasting for Monsoon Onset Using observational datasets, I have worked on improving monsoon onset prediction for Central India through structured time-series modeling. This line of work focuses on practical forecast accuracy and uncertainty-aware interpretation. ### Synthetic Terrain and Geospatial Simulation I have also explored reproducible terrain generation methods for geospatial analytics and simulation. This helps stress-test models in controlled yet realistic settings before field deployment. ## Research Orientation I approach research as an interdisciplinary exercise involving machine learning, domain knowledge, and implementation constraints. My long-term focus is to build systems that are technically strong and societally useful."}]