Hello,
I am Janushi Shastri , I'm a Software Developer.

Integrated Vue.js into Django for Client-Side Rendering, improving interactivity. Migrated time capture section with Quasar, Ag Grid, Webpack, and Pinia, enhancing interface responsiveness by 25%.

Developed a Go backend to aggregate Slack and Google Calendar data. Implemented kafka for message streaming, reducing server load by 20% and ensuring real-time processing.

Optimized time entry by suggesting timesheet entries from aggregated Slack and Calendar data, improving billing accuracy and workflows.

Designed scalable architecture for future integrations and data synchronization, managed project using Jira and Agile practices.

Contributed to NSF Macrosystems Project: Key team member in a study examining the impact of droughts, wildfires, and beetle infestations on western forests' resilience. This project highlights the critical intersection of environmental research and technological application.

Developed Cross-Sensor Calibration Tool: Led the creation of a Python tool for cross-sensor calibration, utilizing NEON-AOP and MicaSense Red-edge data to enhance Landsat observation accuracy. This tool significantly improves data scalability across different sensor resolutions.

Implemented Python Scripts for Vegetation Data Scaling: Authored Python scripts to scale high-spatial-resolution aerial sensor data to moderate-resolution space-borne sensors. This work facilitated more accurate environmental monitoring across extensive forest areas.

Remote Sensing Research Project on Snow Cover: Led a study to correct radiometric, atmospheric, and topographic distortions in snow cover sensing, crucial for understanding snow albedo and climate impact.

Applied ENVI`s Flaash for Atmospheric Correction: Enhanced data accuracy from AWiFS and Landsat 8 by mitigating atmospheric influences like aerosols and water vapor, ensuring reliable analysis.

Innovative Topographic Correction: Implemented methods including cosine, two-stage normalization, and slope matching (with superior results in the Bhaga basin) to adjust for mountainous terrain effects.

Albedo Estimation: Successfully estimated snow albedo values at 0.7 to 0.8 post-correction, indicating significant fresh snow coverage, advancing our knowledge in climate studies and remote sensing accuracy.

Agricultural Web App Development: Developed an innovative web app integrating three key functionalities: Crop Recommendation, Fertilizer Recommendation, and Crop Disease Prediction, aimed at enhancing agricultural productivity and decision-making.

Implemented crop and fertilizer recommendation tools in flask, providing tailored suggestions based on user-submitted soil and crop data to optimize agricultural output and address nutrient deficiencies.

Introduced an AI-driven feature using DecisionTree, NBClassifier, and RandomForest models, allowing users to upload images of diseased plant leaves for instant identification and treatment suggestions, leveraging machine learning for precision agriculture.

Worked on the project Time Table Management System using PHP and MySQL.

Built RESTful APIs with PHP.

This web application contains three modules: admin, teachers and students, where a timetable can be added or modified according to different semesters and courses.

Learned Java programming and object-oriented principles. Underwent an intense training program on Core and Advanced Java.

Implemented data structures and algorithms. Also learnt Springboot and JSP framework

Built small projects to apply Java skills.