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MinoshPerera/README.md

๐Ÿ‘‹ Hi, I'm Minosh Perera

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๐Ÿ’ก AI & EEE Enthusiast | Data Science & AI Developer

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I'm a passionate Electrical and Electronic Engineering undergraduate with a strong interest in Artificial Intelligence, Machine Learning, and Cloud Computing.

Currently working as an AI/ML Engineer Intern at Aethria Solutions, where I architected and deployed RAG (Retrieval-Augmented Generation) systems - achieving faster, scalable, and intelligent retrieval. I also gained valuable experience as a Cloud Engineer Intern at Huawei, contributing to scalable, cost-efficient AI/ML solutions on cloud platforms.
Iโ€™m continuously exploring the intersection of Electrical & Electronic Engineering and intelligent software systems, and I love building innovative AI-driven products that solve real-world problems.


๐Ÿš€ About Me

  • ๐ŸŽ“ BSc (Hons) in Electrical & Electronics Engineering at SLIIT
  • ๐Ÿค– Passionate about combining real-world problems with intelligent system solutions.
  • ๐Ÿ’ฌ Ask me about AI, ML, Computer Vision, EEE projects, and cloud-based AI
  • ๐Ÿ“ Based in Sri Lanka

๐Ÿ› ๏ธ Languages and Tools

๐Ÿง‘โ€๐Ÿ’ป Programming Languages

Python C Java C# Terraform Arduino HTML5 JavaScript

โš™๏ธ Frameworks & Tools

Flask FastAPI Streamlit Chainlit OpenCV Docker Kubernetes Power BI

๐Ÿ“Š Data & ML Tools

Pandas NumPy Matplotlib Seaborn scikit-learn Keras TensorFlow PyTorch HuggingFace VS Code Jupyter

๐Ÿ—„๏ธ Databases & Vector Stores

MongoDB ChromaDB

๐Ÿค– AI & Cloud Platforms

OpenAI AWS Ollama

๐Ÿงน Version Control

Git GitHub


๐Ÿ“ˆ GitHub Stats


๐Ÿ“ข Let's Connect!

I'm always open to collaboration, research, and product development in the fields of:

  • ๐ŸŒ AI/ML & Computer Vision
  • ๐Ÿ”‹ Electrical and Electronics Engineering Innovation
  • โ˜๏ธ Cloud-based Smart Systems
  • ๐Ÿง  Applied Research in Sustainable AI

๐Ÿ“ฉ Reach out via Email or LinkedIn โ€” letโ€™s build something great together!

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  1. ML-Based-Stroke-Prediction-Model- ML-Based-Stroke-Prediction-Model- Public

    This study leverages Artificial Neural Networks (ANN) to predict stroke risk with 81% accuracy, utilizing key health indicators such as hypertension, BMI, glucose levels, and smoking status. By impโ€ฆ

    Jupyter Notebook

  2. Financial-AI-Agent-DeepSeek Financial-AI-Agent-DeepSeek Public

    A DeepSeek-powered AI agent for financial intelligence. Automates market research, news analysis, and fundamental data retrieval using Yahoo Finance and DuckDuckGo within a multi-agent system.

    Python

  3. Design-of-Microcontroller-Based-Static-VAR-Compensator Design-of-Microcontroller-Based-Static-VAR-Compensator Public

    A microcontroller-based off-grid inverter system that uses a Static VAR Compensator for real-time reactive power compensation, phase angle detection, and power factor correctionโ€”enhancing power quaโ€ฆ

    C++

  4. omr-grading-app omr-grading-app Public

    A lightweight Optical Mark Recognition (OMR) grading tool for scanning, detecting, and auto-evaluating bubble answer sheets (MCQ) with customizable answer keys and downloadable results.

    Python