Digital Agricultural Avatar
2023-Present
Project Overview
Worked on the development of the PhenoRob Digital Agricultural Avatar project website and crop modeling tools integration.
Key Features:
- Interactive documentation for agricultural modeling tools
- Integration interface for multiple crop models
- Educational content delivery platform
- Project website: PhenoRob DAA
Videos:
- Running CPlantBox with Docker
- AgroC Crop Model: Installation Guide
- Canonical Correspondence Analysis
- Potential Natural Vegetation
- Statistical Arbitrage in Trading
- Soil Moisture
- Algo Trading Pipeline
Digital Agricultural Avatar Channel:
Compute Stories Channel:
Skills Used:
Docker Containers for Agricultural Modeling
2024-Present
CPlantBox GUI Docker
- Created a comprehensive Docker image for CPlantBox plant modeling framework
- Integrated VNC viewer for plot visualization and 3D renderings
- Built with Ubuntu 20.04, Python 3, and scientific packages (NumPy, SciPy, Matplotlib, VTK)
- Included Eigen3 and Boost libraries for high-performance computing
- Simplified deployment with ready-to-use example scripts
- Repository: satraox/cplantbox-gui
DuMuX-ROSI-Jupyter Docker
- Developed specialized Docker image for agricultural modeling and simulation
- Pre-configured Jupyter environment for seamless simulations
- Integrated DuMuX for multi-phase flow simulation in porous media
- Incorporated ROSI (Root System Integration) model for plant-soil interactions
- Set up CPlantBox for 3D root architecture modeling
- Repository: satraox/dumux-rosi-jupyter
Videos:
- Running CPlantBox with Docker
Digital Agricultural Avatar Channel:
Skills Used:
High-Performance Scientific Computing
2010-Present
Particle-in-Cell Plasma Simulations (2010-2012)
- Developed parallel computing simulations using FORTRAN and MPI
- Published in Physics of Plasmas
- Utilized Alabama Supercomputer for computations
Maxwell-Bloch Equations Solver (2015-2016)
- Implemented quantum state simulations
- Developed Fortran codes for excitonic resonances
- Applied rotated wave approximation techniques
Root Electrical Modeling (2016-2020)
- Created MATLAB codes for plant root water uptake modeling
- Automated field-scale simulations of plant dynamics using Python
- Published in Vadose Zone and Plant Soil Journal
Skills Used:
AI & Machine Learning Projects
2022-Present
Soil Moisture Prediction
- Implemented LSTM and Random Forest models
- Created popular Kaggle notebooks
- Integrated satellite data with field measurements
Achievements:
- Kaggle Master (Top 2%, Rank 649/322,985)
- 10 Silver & 10 Bronze Medals
- Published a book chapter on the role of LLM’s in Agriculture
Custom GPT Development
- Built specialized GPTs for agricultural applications
- Developing AI tools for crop modeling
Healthcare App Machine Learning Architecture
- As a freelancer, advised on machine learning library selection and developed an MVP using Gradio for a client’s healthcare application.
Skills Used:
Algorithmic Trading Pipeline
2020-2023
Intraday Stock Trading Automation
- As a freelancer, developed algorithmic trading strategies for clients using Python.
- Implemented websocket to retrieve tick data from stock exchanges.
- Implemented trading strategies based on moving averages, integrating with stockbroker APIs like Angel Broking and Zerodha.
- Successfully automated stock selection and trading execution, resulting in enhanced trading performance for a client.
Skills Used:
Vehicular Robot Prototype
2010
Project Overview
Developed a collision avoidance system using 8051 microcontroller during B.E. final year.
Key Achievements:
- Programmed using Assembly language and HDL Verilog
- Implemented sensor integration and control systems
- Successfully demonstrated in real-world scenarios
Skills Used:
Educational Content Creation
2023-Present
Creating educational content on computational science and agricultural modeling.
Videos:
- Running CPlantBox with Docker
- AgroC Crop Model: Installation Guide
- Canonical Correspondence Analysis
- Potential Natural Vegetation
- Statistical Arbitrage in Trading
- Soil Moisture
- Algo Trading Pipeline