About Me
I am an APPN Research Officer in Machine Learning and Computer Vision at The Australian National University. I work on developing intelligent scanners and processing complex plant data to generate vital plant traits for phenotyping and agricultural research.
I am also leading the Drone-to-Leaf research project, which focuses on developing an AI-enabled pipeline for moving from canopy-level drone imagery to leaf-level analytics, trait extraction, and plant health insights.
I completed my Bachelor of Advanced Computing with Honours from The Australian National University. My work combines AI, computer vision, data engineering, machine learning, and software development to build practical research tools and intelligent applications.
Current Engagement
🌱 APPN Research Officer / Project Lead — AI, ML and Computer Vision
Building intelligent scanners and processing plant imaging data to generate important plant traits. My work involves machine learning, 2D/3D computer vision, hyperspectral data processing, and data analysis for plant phenotyping.
I am currently leading the Drone-to-Leaf research project, where I am working on AI-based methods to connect drone imagery with detailed leaf-level analysis and plant trait estimation.
Previous Engagements
💡 RSE Research Assistant
Used computer vision and Natural Language Processing to derive meaningful insights from raw societal data.
📚 CECC Research Assistant
Cleaned time-series data using data science techniques and 2D/3D computer vision. Analysed plant data and applied machine learning methods to classify plants based on stress conditions.
🌱 Skills
Advanced
- SQL
- 2D & 3D Computer Vision
- Data Engineering
- Data Analysis using Python/R
- Machine Learning using Python/R
Intermediate
- Natural Language Processing
- MLOps
- Web Development
- Flutter
- Native Android Development using Java + XML
🏆 Awards
- Winner of Smart India Hackathon 2020
- Recipient of 4 merit scholarships as a transfer student — ANU, SUNY, IUPUI, and RIT
- Winner of VIT Hackathon sponsored by HackerRank and K7 Security
- Meritorious Award, VIT University
📌 Featured Projects
PhenoFusion3D
Builds RGB-D plant models, measures 3D traits, then aligns geometry with hyperspectral imagery for analysis.
View ProjectDrone-to-Leaf
A research project focused on connecting drone imagery with leaf-level analytics, plant trait extraction, and AI-based plant health insights.
📊 GitHub Stats
I actively work on projects involving machine learning, computer vision, mobile apps, and research software. My GitHub activity below highlights my public repositories, recent contributions, and coding interests.
🔗 Find Me Around the Web
📫 Reach me at: spsaswat16194@gmail.com
⚡ Fun Fact
I love exploring new technologies and building innovative projects that combine AI, software engineering, and real-world impact.