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ddsyasas/README.md

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> whoami

class Yasas:
    def __init__(self):
        self.name = "Sajana Yasas"
        self.location = "Bologna, Italy"
        self.education = "MSc Material Physics & Nanoscience @ University of Bologna"
        self.prev_education = "BSc Engineering Physics @ University of Colombo"
        
        self.roles = [
            "Founder @ IDER Solutions (since 2019)",
            "Building SyncSEO (SEO Content Architecture SaaS)",
            "Co-host @ Founder's Path Podcast",
            "Physics Researcher (Condensed Matter & Nanomaterials)"
        ]
        
        self.philosophy = "IDEA -> EXECUTION"
        self.current_focus = "Shipping products with AI-assisted development"
    
    def daily_loop(self):
        while True:
            self.identify_problem()
            self.build_solution()
            self.ship_it()
            self.learn_and_iterate()

What I'm Building

SyncSEO

SEO Content Architecture SaaS

Building a tool that makes content architecture visible. Born from a real pain point we faced at our agency, solving the mess of managing hundreds of articles without structure.

Python Next.js AI-Powered #buildinpublic

IDER Solutions

Digital Marketing Agency (Est. 2019)

Helping businesses grow through SEO, web development, and digital strategy. What started as a university side project is now a full agency serving clients across multiple markets.

SEO Web Dev Growth Marketing E-Commerce

Founder's Path Podcast

From Idea to Execution

Weekly conversations with founders breaking down real startup journeys. No fluff, just the raw lessons from building things.

Entrepreneurship Startup Lessons Interviews

Physics Research

Material Physics & Nanoscience

Masters research at University of Bologna. Previous work on graphene-based flexible gas sensors (SnO2/Graphene nanocomposites). Where physics meets real-world applications.

Nanomaterials Condensed Matter Sensors


Tech Stack

Languages

Python JavaScript TypeScript C++ MATLAB R

Web & Frameworks

Next.js React Node.js TailwindCSS HTML5 CSS3

AI & Tools

Claude NumPy Pandas Git Linux Docker

Hardware & Design

Arduino KiCad SolidWorks AutoCAD


GitHub Activity

Contribution Graph

Where Physics Meets Code

Condensed Matter Physics    →    Built graphene-based flexible gas sensors
Nanomaterial Synthesis      →    SnO2/Graphene nanocomposites for LPG detection
Computational Methods       →    Python/MATLAB simulations & data analysis
Signal Processing           →    Custom SMD amplifier circuits for sensor data
IoT Systems                 →    Cloud-connected monitoring systems

I don't just study physics. I build things with it.


The Journey

2019  ━━━━━━━━  Founded IDER Solutions while still in university
2022  ━━━━━━━━  BSc Engineering Physics (University of Colombo)
2022  ━━━━━━━━  Teaching Assistant (Physics Department, UoC)
2024  ━━━━━━━━  Started MSc Material Physics (University of Bologna)
2025  ━━━━━━━━  Launched Founder's Path Podcast
2026  ━━━━━━━━  Building SyncSEO | Shipping in public

If you're building something cool, let's connect.

LinkedIn   Twitter

Pinned Loading

  1. llm-wiki llm-wiki Public

    Open source local-first knowledge base maintained by an LLM agent. Implements Andrej Karpathy's LLM Wiki pattern.

    TypeScript 24 6

  2. dft-helium dft-helium Public

    From-scratch density-functional theory (LDA) of the helium ground-state energy in Python: hand-written radial Numerov solver, Hartree potential via Poisson, and Slater + Perdew-Zunger exchange-corr…

    Jupyter Notebook

  3. heat-diffusion-simulator heat-diffusion-simulator Public

    Heat Diffusion Simulator - Applied Physics Project

    Python

  4. ising-monte-carlo-toolkit ising-monte-carlo-toolkit Public

    A high-performance Python toolkit for simulating magnetic phase transitions using Monte Carlo methods. This project provides a comprehensive framework for studying the Ising model across different …

    Python

  5. mirago mirago Public

    Catch the fake package names AI coding tools make up — before you install them. A linter for AI-generated Python imports.

    Python

  6. Infix-to-Postfix-Translation-LSTM Infix-to-Postfix-Translation-LSTM Public

    LSTM encoder-decoder model that translates infix mathematical expressions to postfix notation, achieving 100% accuracy with true autoregressive decoding. Built with TensorFlow/Keras.

    Jupyter Notebook 1