About Me

I'm Advaith. I'm a technologist focused on Remote Sensing, Deep Learning, and Spatial data. Never did I as a child think I'd say that I'm a technologist who is into Computer Science and Remote Sensing. Anyways, here I am, loving what I do, loving who I am.

More About Me, 'cause why not.

I'm from Kerala, I work at some place in Delhi, I've studied in Dehradun, I've worked for a bit at Hyderabad. I'm not fond of travelling, I like video games and badminton.

Things I Know

• Remote Sensing & GIS, Satellite Image Analysis.
• Deep Learning, Machine Learning, AI.
• Scripting (Python, Bash, Other Languages, kinda language Agnostic at this point)
• Web (React, Django – support skill)

Professional Qualifications

• Geospatial Developer, Silver Touch Technologies. (July 2025 -- Present)
  • I worked on ML Projects.
  • I automated some data processing workflows and created a dashboard.
• Project Intern, INAI, IIIT-H (October 2022 -- March 2024)
  • I worked on ML Projects.
  • I automated some data processing workflows and created a dashboard.
• Intern, Six30 Labs (June 2022 -- July 2022)
  • I worked on developing an Intruder Detection system.
  • Worked with Computer Vision tasks

Educational Qualifications

• Master of Technology in Remote Sensing & GIS Specializing in Satellite Image Analysis and Photogrammetry, Indian Institute of Remote Sensing (Indian Space Research Organization), Dehradun (2023–2025)
• Bachelor of Technology in Computer Science, Cochin University of Science and Technology (2019–2023)

Projects

M.Tech Thesis – Deep Learning-based LULC Change Detection using Multi-Sensor Data

• Used Sentinel-1, Sentinel-2, indices, and DEM with deep learning and SHAP for explainability.

B.Tech Final Project – Rigging-free Voting System

• Secure architecture using blockchain-like concepts to prevent manipulation.

Mini Project – Text Summarization with Self-Organizing Maps

• Implemented and evaluated unsupervised models for extractive summarization.

Publications

Spectrophotometric Evaluation of Lunar Catharina Crater
Padinharethodi, A. K. and Kumar, S. and Advaith C A.
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2025
Read Paper

Text Summarization using Self-Organizing Maps
A. Raj, M. Sudheep Elayidom, T.B. Abhinav, C.A. Advaith, and D. Amrutha.
International Journal of Advance Computational Engineering and Networking (IJACEN), 2022

Unofficial Collaborations

I’ve contributed to projects across diverse domains such as Marine Sciences, Geosciences, Agriculture, and Forestry. These included:

• Automating graphing and GPS data cleaning
• Interpreting radiative transfer model pipelines (R), hyperspectral fusion pipelines (Python)
• Co-registration of multi-sensor imagery
• DEM generation using satellite LiDAR + deep learning (GANs)
• Fusion of spy satellite, SAR, DEM, and optical imagery
• Assisted peers out of curiosity and technical passion — not for academic credit (Though It has been acknowledged by a grateful few.)

I've also worked in one project as a freelancer, It did not end well, Taught me a lot about boundaries, ethics and burnout.

Hackathons, Presentations & Events

IEEE GRSS Science Day Hackathon, IIT Indore (2025)
🏆 First Runner-Up – Problem Statement PS3: Coregistration of Multispectral Imagery
Participated as part of team Reality Warpers.
Organized by IEEE GRSS SBC, IIT Indore, in collaboration with IEEE GRSS MP Chapter.

Mapathon 2024, IIRS & Indian Society of Remote Sensing (Nov 2024)
Mapped change detection in a small region of Delhi using medium-resolution imagery.
Applied LSTM to attempt prediction of future land use transitions.

Mapathon 2024, Chandigarh University (Oct 2024)
Created maps for Boragaon waste disposal site using remote sensing to track LULC change.

Warpspeed by Lightspeed, Devfolio (May 2023)
Offline Generative AI Hackathon. Developed a web app for generating 3D primitive-based scenes rendered into high-quality 2D visuals.

Pygames Hackathon, Devpost (Apr 2023)
🏆 Winner – Among the first 20 eligible non-US/Canada participants ($50 prize).
Created a Pong-style game with creative twists using Pygame.

Starlet Hackathon, Mind Empowered (Feb 2023)
🧠 Mentor – Guided 10+ teams during a gender-diverse tech hackathon.
Helped with idea implementation, tech support, and collaboration.

Intro Session on AI & ML (Dec 2022)
Delivered an introductory class on AI & ML to 77 students from multiple branches.
Received positive feedback across the board.

VIGYAAN 2022, Naipunnya Institute (Nov 2022)
Presented a paper on Analysis and Evaluation of Neural Style Transfer at the International Conference on Advanced and Emerging Trends in CS.

Awards & National Exams

GATE – Geomatics Engineering (GE)
Qualified in 2025 with a score of 648 and AIR 46

GATE – Computer Science (CS)
Qualified in:

• 2025: Score 381; Rank 17,015
• 2023: Score 356; Rank 10,159

Taramandala National Science Talent Search Examination
National Rank: 4

Connect With Me

🔗 Website • 📧 Email • 💻 GitHub • 💼 LinkedIn