- π Computer Science Engineering undergraduate at University of Moratuwa
- π§ Currently focused on NaviLogix
- π§ Strong interest in:
- Algorithms & Problem Solving
- Low-level systems & microarchitecture
- Embedded & performance-critical software
- π I enjoy turning complex ideas into clean, working solutions
- Advanced Data Structures & Algorithms
- Mobile App Architecture (Clean Architecture, MVVM)
- Embedded Systems & Low-Level Optimization
- AI-assisted development workflows
- π§ AI / ML Engineer β Stage I (SLIIT)
- β‘ Fundamentals of Accelerated Data Science β NVIDIA
- π Python for Beginners β University of Moratuwa
- π§© Problem Solving (Basic) β HackerRank
- π» C++ & Java Programming β Sololearn
- π€ Machine Learning & AI in Data Analysis β Sololearn
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Full-stack e-commerce platform built to support digital retail transformation with advanced inventory and analytics
- π§Ύ Multi-role user system with dedicated admin dashboards
- π¦ Variant-based inventory management with real-time stock updates
- π³ Secure payment integration and delivery estimation
- π Comprehensive business analytics and reporting
- π PDF report generation for business insights
- π οΈ Tech Stack: React, Node.js, MySQL, Tailwind CSS, RESTful APIs
π Repository: https://github.com/lakaThabrew/BrightBuy_db_project
AI-powered multi-agent system designed to deliver personalized learning experiences
- π§ Multi-agent architecture for intelligent task handling
- π Personalized learning paths and adaptive tutoring
- π AI-generated quizzes and performance tracking
- π¬ Natural language query understanding
- π Learning analytics dashboard for insights
- π οΈ Tech Stack: React, Node.js, Express, Python, LLMs, REST APIs, Tailwind CSS
π Repository: https://github.com/lakaThabrew/edumentor-ai
Smart health tracking platform for monitoring and analyzing personal health data
- π Interactive dashboards for health data visualization
- β€οΈ Tracks vital metrics and analyzes trends over time
- π Secure and scalable data management
- π€ Designed for future AI-driven health predictions
- π οΈ Tech Stack: React, Node.js, Express, MongoDB, Chart.js, Tailwind CSS
π Repository: https://github.com/lakaThabrew/HealthSense
Intelligent typing practice system with real-time feedback and personalized learning
- β‘ Real-time typing tests with speed & accuracy analysis
- π§ AI-generated personalized practice sessions
- π Detailed performance analytics (WPM, errors, accuracy)
- π― Progressive skill-based learning system
- π οΈ Tech Stack: React, Node.js, MongoDB, Express, Gemini API, Tailwind CSS
π Repository: https://github.com/lakaThabrew/ai_typing_Tester
AI-powered web application that recommends movies based on user preferences and behaviour
- π― Personalized movie suggestions using recommendation logic
- π§ Full-stack implementation with clear frontendβbackend separation
- π Designed as a real-world, user-facing product
- π οΈ Tech Stack: React, Node.js, Express, APIs
π Repository: https://github.com/lakaThabrew/CineAI
Location-based alert system that triggers notifications based on GPS position
- π¨ Sends alerts when users reach predefined geographic locations
- π± Practical utility for travel reminders, safety, and automation
- π Uses browser geolocation and event-based logic
- π οΈ Tech Stack: JavaScript, HTML, CSS, Geolocation API
π Repository: https://github.com/lakaThabrew/GPS_Alarm_WebApp
A simple 4-bit nanoprocessor designed and implemented using VHDL
- π§ Includes instruction decoder, ROM modules, and test programs
- π Optimized third version with improved structure and performance
- ποΈ Demonstrates understanding of low-level systems and computer architecture
- π οΈ Tech Stack: VHDL, FPGA (BASYS 3)
π Repository: https://github.com/lakaThabrew/Nano_processor_Version_3


