Programming
Core languages I use for application logic, automation, and embedded work.
- Python
- Kotlin
- Java
- C
- Embedded C
Software engineering undergraduate · Calicut, Kerala
Building practical
software that works.
I work across Android development, AI, machine learning, IoT, and practical software systems. I’m most interested in projects where code meets real hardware, real data, or real people.
SYSTEM / 01
BUILD
code · circuits · care
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SIGNAL
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01About
I like starting with a real problem and following it through to a working system.
I enjoy understanding the problem before I write code. That usually means reading the context, trying to see how the system should behave, and then building something that can actually be used.
I’m comfortable moving between software and hardware, and I prefer complete working systems over isolated demos. I also learn best by building things, breaking them, and improving them over time.
Understand firstReal constraints matter more than clever shortcuts.
Connect the piecesMobile, data, and hardware often belong in the same build.
Keep iteratingProjects get better when I test them with real use.
02 / core technologies
A practical toolkit.
Just the tools that show up in real projects and real builds.
Machine learning
Used in experimental builds and small deployed systems.
- TensorFlow Lite
- Random Forest
- Scikit-learn
Mobile & tools
Android-focused work with the tools I use every day.
- Android
- Android Studio
- VS Code
- Git
- Linux
03Selected work
Projects / in the field
Ideas, given a
working pulse.
01 / 2026ML · Android
ML-based Android application
Digital
Behaviors
A mobile app that looks at device use patterns and turns them into a clearer view of daily habits.
- Built around Android with a lightweight machine learning workflow
- Focused on a simple, private experience for exploring behavioral patterns
02 / 2025IoT
IoT-based waste segregation
Smart
Waste Bin
Embedded work for sorting waste with sensors and simple control logic.
03 / 2024Mobile app
Smart store management
E-KART
Interactive mobile app work for inventory, recommendations, and nearby store comparisons.
04Journey
The work behind the work
Learning by
making it real.
Sep—Nov / 2024
Machine Learning Intern at Yhills
What I worked on: Built and tested Python-based machine learning workflows for data preparation and model evaluation.
Technologies used: Python and practical machine learning experimentation.
What I learned: How to move from an idea to a repeatable experiment without overcomplicating it.
May / 2023
Python Automation Intern at Propulsion System
What I worked on: Automated repetitive system workflows with Python to reduce manual effort.
Technologies used: Python scripting and workflow automation.
What I learned: How small, reliable scripts can save time and make a process more dependable.
Now / 2026
Technology Lead at IEDC, KMCT
What I worked on: Support student prototypes, guide technical decisions, and help turn ideas into working systems.
Technologies used: Android, embedded tools, and practical prototyping workflows.
What I learned: How to balance experimentation with clarity and delivery when building with a team.
05 / foundation
Still learning.
Already building.
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Hackathon participant
Community Digital Learning Space / 2025
B.Tech in Computer Science & Engineering
KMCT College of Engineering
Diploma in Computer Hardware Engineering
KMCT Polytechnic College
Diploma in Computer Application
SCOLE Kerala
Certification shelf
Ethical Hacking — Cisco Networking Academy
Gen-AI — NIT Calicut
Hacker Toolkit — Offense Hacker Academy
06 / contact
Have something practical in mind?
Let’s talk it through.
ananthus1687@gmail.com
Calicut, Kerala · India