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Trainee Associate Software Engineer - Full Stack
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Trainee Associate Software Engineer - Full Stack
16 followers · 13 following

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Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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hasinduudara/README.md

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👋 About Me

Software Engineering graduate (GDSE, leading to a BSc (Hons) in Computer Science) and Full-Stack Developer with 6 months of hands-on internship experience building scalable web and mobile applications. 💻🚀

During my internship, I worked across the stack — building backend services with Java & Spring Boot, developing content-driven web apps with Next.js and Payload CMS, building React frontends, and implementing SEO for production websites. I also work in the MERN Stack (MongoDB, Express, React, Node.js), TypeScript, and React Native (Expo) with NativeWind for mobile, plus microservices architecture on Azure and GCP, with AWS as a quick pickup given the overlap.

🌱 Current Focus — AI Product Engineering I'm actively integrating AI into full-stack products, working with tools like LangChain, Gemini API, Model Context Protocol (MCP), and Hugging Face depending on the project, and currently building my skills in RAG (Retrieval-Augmented Generation) applications. I'm also taking my first steps into Web3.

🎯 What I'm Looking For Currently seeking an Associate Software Engineer (ASE) role where I can bring my full-stack, cloud, and AI integration experience to a team building production-grade software. I learn new technologies fast and adapt to whatever a project needs.

🎥 Beyond Code I document my development journey as a content creator, sharing what I learn about full-stack engineering, AI agents, and system architecture through articles on LinkedIn and Medium.

💡 Technical Arsenal

Category Skills
💠 Backend Java · Spring Boot · Node.js · Express
💠 Web Next.js · React · Payload CMS · TypeScript · Tailwind CSS
💠 Mobile React Native · Expo · NativeWind
💠 Database MongoDB · MySQL · PostgreSQL · Firestore · Vector DB
💠 Cloud & Architecture Microservices · Azure · GCP · AWS (quick learner)
💠 AI / Automation LLM Integration · LangChain · MCP · Gemini API · Hugging Face · RAG · AI Agents
💠 Web Performance SEO & Web Performance
💠 Exploring Web3 🌐

Java Spring Nodejs Express Nextjs React TypeScript Tailwind React Native MongoDB MySQL Postgres Firebase Azure GCP AWS Docker Git GitHub Actions Postman Figma

LangChain Gemini MCP Hugging Face Web3

📊 GitHub Analytics

GitHub Stats GitHub Streak Top Languages

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🤝 Open to Connect

Open to connecting with developers, mentors, and teams building the future. Let's talk! 🤝

LinkedIn GitHub Portfolio Medium Email Phone

📍 Deniyaye, Sri Lanka

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  1. Game_Kade-Restaurant_Food_Ordering_Mobile_App Game_Kade-Restaurant_Food_Ordering_Mobile_App Public

    "Game Kade" is a mobile application designed to bridge the gap between local rural restaurants and digital consumers. It allows customers to browse menus, place food orders, manage their personal p…

    TypeScript 1

  2. Youtube-Atomation-System Youtube-Atomation-System Public

    Fully-automated Tech/AI News YouTube Shorts channel. Goal: 3 uploads/day, ~30s each, zero manual work once running, global audience.

    Python 1 2

  3. Google-Search-MCP Google-Search-MCP Public

    An MCP server that lets any MCP-compatible AI client search the live web through Google's Custom Search JSON API — over stdio, plug-and-play.

    TypeScript 1

  4. IJSE-ML-Group-Project-Customer-Churn-Predictor IJSE-ML-Group-Project-Customer-Churn-Predictor Public

    Customer Churn Predictor uses machine learning and SHAP to forecast customer churn and explain the exact reasons behind each prediction.

    Jupyter Notebook 1

  5. Simple-RAG-Website Simple-RAG-Website Public

    A full-stack Retrieval-Augmented Generation (RAG) web application built with FastAPI, Qdrant Vector Database, and Hugging Face (Llama 3.1 & BGE Embeddings).

    Python 1