Kavindu Peiris kspeiris

🚀 Kavindu Peiris

👨‍💻 About Me

🎓 B.Comp. (Hons.) in Software Engineering
🏛️ University of Sri Jayewardenepura - Sri Lanka
📅 Expected Graduation: 2027

Innovative software engineer with 3+ years of experience building production-grade applications across machine learning, cybersecurity, enterprise systems, and full-stack development. I specialise in end-to-end project delivery from architecture and development to deployment with a portfolio of 70+ projects spanning multiple domains.

I am passionate about solving complex problems through intelligent design and cutting-edge technology. My work combines software engineering, behavioral analytics, machine learning, and cybersecurity to build real-world solutions that address modern technological challenges.

🎯 Current Focus

Software Engineering	Cybersecurity	Artificial Intelligence & ML
System Architecture	Insider Threat Detection	End-to-End ML Pipelines
Full-Stack Development	User Behavior Analytics	Explainable AI (SHAP/LIME)
Cloud-Native Microservices	Bot Detection Systems	Deep Learning (CNN, ANN, RAG)
Enterprise Systems	Threat Intelligence	Predictive Analytics
Database Engineering	Secure Authentication	Computer Vision & NLP

🔬 Research Focus

Real-Time Coordinated Bot Detection Using Behavioral Analytics

My current research develops a lightweight behavioural fingerprinting framework capable of detecting coordinated automated activities in web and mobile applications through behavioural analytics and machine learning techniques.

Research Areas:

Coordinated Bot Detection
Behavioural Fingerprinting
Human-Bot Interaction Analysis
Behavioural Biometrics
Real-Time Security Monitoring
Privacy-Preserving Analytics
Intelligent Detection Systems

🧰 Tech Stack

💻 Programming Languages

🌐 Frontend

⚙️ Backend & Databases

🤖 Machine Learning & AI

🛠 DevOps & Tools

🏆 Featured Projects

🥇 Enterprise & Production Systems

1. ThreatOps – Insider Threat Detection System

Real-time user behaviour analytics & anomaly detection platform
Stack: FastAPI, React 18, PostgreSQL, Scikit-learn (Isolation Forest), Docker Compose, WebSockets
Features: UBA engine, hybrid risk scoring, 7 database models, real-time alerts, PDF reports, RBAC.

2. AI‑Driven Employee Layoff Risk Prediction

Explainable AI system for workforce analytics
Stack: Flask, Streamlit, CatBoost, TensorFlow, SHAP, LIME, SQLite
Features: Risk classification, SHAP/LIME explainability, batch prediction, interactive dashboard.

3. Cyber Threat Intelligence Platform (n8n Pipeline)

Automated threat intelligence orchestration
Stack: FastAPI, Streamlit, n8n, PostgreSQL, Telegram API, NVD API
Features: Scheduled CVE collection, heuristic risk scoring, Telegram alerts, glassmorphic UI.

4. ShortStay – Accommodation Marketplace

High‑security full‑stack marketplace with 5 role types
Stack: React 18, Node.js, Express, MySQL, Tailwind CSS, Chart.js
Features: Secure bookings, admin dashboards, role escalation protection, glassmorphism UI.

5. QuickPOS Lite – MERN Stack POS System

Production POS deployed in 50+ restaurants
Stack: React (Vite), Node.js, Express, MongoDB, Multer
Features: Role‑based access, real‑time cart, thermal receipt printing, sales analytics.

🖥️ Desktop Applications (Freelance)

6. Bio Care Sales Management System

Offline‑first Electron desktop app for Bio Care Consumers (PVT) LTD
Stack: Electron, React 18, SQLite, Recharts
Features: Field sales workflow, 8 KPI dashboard, credit/cash payments, auto‑backups.

7. JFI CONSOLIDATED Stock Control System

Complete warehouse management suite for JFI CONSOLIDATED (PVT) LTD
Stack: Electron, React 18, SQLite, jsPDF
Features: 10 business modules (PO, GRN, MIN, PRN), SVAT/VAT support, print templates, analytics.

🤖 AI & Machine Learning

8. LectureMind AI – RAG Study Companion

Privacy‑first RAG‑powered AI assistant for education
Stack: Python, Streamlit, FAISS, Hugging Face (FLAN‑T5), Sentence Transformers
Features: PDF/PPTX/TXT ingestion, auto‑notes, flashcards, MCQ generation, export.

9. Pneumonia Detection App

Deep learning CNN for medical X‑ray classification
Stack: Flask, TensorFlow/Keras, Bootstrap
Features: Image upload & prediction, history tracking, responsive UI.

10. CoordBotLab – Bot Detection Research Platform

Behavioural analysis framework for coordinated bot detection
Stack: Python, Selenium, Scikit‑learn, Flask
Features: Coordination analysis, browser simulation, live risk dashboard.

📜 Certifications

Domain	Certifications
AI & Machine Learning	AI/ML Engineer – Stage 1 & 2 (SLIIT) · AWS ML & AI Fundamentals · Full‑Stack Deep Learning (LinkedIn) · Deep Learning with PyTorch (Coursera) · NLP & Text Mining · Critical Thinking in AI
Cybersecurity	Cisco Introduction to Cybersecurity · Junior SOC (Vibe Security) · Nmap Scanning · Cybersecurity Awareness
Cloud Computing	AWS Cloud Practitioner · Azure Cognitive Services · S3 Basics · Cloud Computing Fundamentals
Data Science	Data Science & Analytics (HP LIFE) · Business Analytics with Excel · Google Analytics · BigQuery
Development	Python Programming (UoM) · Front‑End Web Development · Agile Scrum Master

📄 Publications

A Systematic Review of Coordinated Bot Detection Techniques in Real‑Time Web and Mobile Applications
J'PURA Computing Symposium (JCoS) 2026 – Published & Presented

📊 GitHub Analytics

🐍 Contribution Snake

📚 Areas of Interest

Software Engineering & System Architecture
Cybersecurity (Insider Threat, Bot Detection, Threat Intelligence)
Artificial Intelligence & Machine Learning
Behavioural Analytics & Explainable AI
Cloud‑Native Development & DevOps
Full‑Stack Development & Enterprise Systems