Hello World, I'm

Mirco Fernando
Software Engineer

Full-Stack Developer | AI & Machine Learning Enthusiast

“Turning coffee into code, and ideas into reality.”
Mirco Fernando
01. Overview

About Me

Passionate software engineering undergraduate specializing in React, Node.js, artificial intelligence, machine learning, generative AI, and currently exploring Agentic AI. Focused on building intelligent systems that solve real-world problems.

Currently pursuing my BSc (Hons) in Software Engineering, I combine academic rigor with practical experience as a Co-Founder at Olyra Labs. I thrive at the intersection of modern web development and cutting-edge AI technologies.

7+
Major Projects
10
Certifications
10+
Technical Writings
Top 3
ZuuCrew AI Hackathon
02. Journey

Education

Oct 2024 – Present

BSc (Hons) Software Engineering

University of Lancashire, UK
July 2023 – Aug 2024

Foundation Year — Information Technology

UCL (Universal College Lanka), Sri Lanka (NCC Education – UK)
  • Distinctions on all subjects
03. Work

Experience

Feb 2026 – Present

Co-Founder / Full-Stack Developer

Olyra Labs
  • Co-founded a software development startup, contributing to product strategy, technical decision-making, and software delivery.
  • Designed and developed full-stack web applications using React, Next.js, Node.js, and modern web technologies, taking solutions from concept to deployment.
  • Collaborated directly with clients to gather requirements, translate business needs into scalable software solutions, and deliver products in Agile environments.
04. Portfolio

Featured Projects

POS & Inventory Management Platform - Olyra Labs

Contributed to develop a production-ready point-of-sale and inventory management platform for business operations, supporting order processing, inventory tracking, customer management, and payment workflows. Collaborated directly with stakeholders to translate business requirements into scalable software solutions while contributing to frontend architecture, analytics dashboards, and backend integrations.

ReactExpressJSNodeJSFireBase

Health Matters CRM

Designed and engineered a full-stack healthcare Customer Relationship Management (CRM) application. To ensure secure and efficient data handling, I implemented a robust Role-Based Access Control (RBAC) system alongside a comprehensive referral management workflow. Followed Agile practises and acted as the Tech Lead overseeing the project development.

MERN StackRBACCRM

Prompt Optimization Engine Application

Engineered a multi-agent AI platform to evaluate and compare graph-based and imperative agent orchestration frameworks. Implemented the Reflection agentic design pattern on both LangGraph and Google ADK, designing autonomous agent workflows, state management systems, and an interactive chat interface. Generated practical insights into AI agent architecture, workflow coordination, and framework trade-offs through hands-on experimentation. Detailed deep-dive in this project (medium.com/@mircofdo).

Agentic AILangGraphFastAPIReact

Finance Intelligence Engine

Engineered a financial intelligence platform to analyze Uber's 2024 Annual Report using Hybrid RAG and fine-tuned Llama-3-8B models. Built an end-to-end pipeline incorporating Data Ingestion, Weaviate vector search, BM25 retrieval, Cross-Encoder reranking, QLoRA fine-tuning via Unsloth, conducted evaluation workflows such LLM-as-a-Judge, and an interactive Streamlit interface for financial question answering.

Gen AIRAGWeaviateLLaMA-3

Enovex - Smart Solar Power Management System

Designed and developed a full-stack platform for monitoring solar energy production and operational performance across multiple units. Built secure role-based access control (RBAC), Clerk authentication, interactive analytics dashboards, and real-time performance tracking. Architected scalable REST APIs and integrated payment processing through Stripe while following clean architecture principles and modern deployment practices.

ReactNode.jsMongoDBStripe
Top 3 - ZuuCrew AI Hackathon

Social Media Trends Analysis

Developed machine learning models to predict social media engagement and identify emerging content trends using real-world datasets. Applied supervised and unsupervised learning techniques to uncover key engagement drivers and viral content patterns, achieving a Top 3 placement among more than 200 participants in ZuuCrew AI hackathon for Foundations of Machine Learning.

PythonScikit-learnMachine Learning

Fine tuning for Law Assistant

Developed a domain-specific legal assistant by fine-tuning a language model using QLoRA for efficient deployment on resource-constrained hardware. Built a complete model optimization and deployment pipeline with GGUF export, implemented safety guardrails, and evaluated performance using LLM-as-a-Judge and ROUGE-L metrics, achieving an overall score of 75%.

LLMQLoRAGGUFPython
05. Insights

Technical Writing & Insights

I enjoy documenting my learning journey, sharing project deep-dives, and exploring topics in Software Engineering, Full-Stack Development, Generative AI, Agentic AI, and Machine Learning.

Writing helps me deepen my understanding of complex concepts while sharing practical insights with the developer community. Through Medium, I publish technical articles, project breakdowns, architectural comparisons, and lessons learned from building real-world applications.

Follow my journey and explore my latest technical articles on Medium.

Read My Articles
Technical Articles Published
AI & Software Engineering Topics
Project Deep-Dives & Tutorials

Should We Use Google ADK for Agentic Solutions?

My journey into exploring Agentic AI began where most developers start today, learning about agentic designs and stateful orchestration…

Agentic AIGoogle ADK

From Prototype to Production: Monitoring RAG Costs and Latency at Scale

Users will not wait more than 10 seconds for an response from your RAG System, no matter how magically accurate it is. In production RAG…

RAGProduction

Is RAG dead in 2026?

If you step into any enterprise engineering team in 2026, you will likely hear a controversial question: Is Traditional RAG dead?

Gen AIRAG
06. Expertise

Skills & Services

Full-Stack Development

Designing and developing high-performance responsive web applications using React, Next.js, Node.js, and databases (SQL/NoSQL). Focused on solid architectures, security, and smooth user experiences.

AI Integration & RAG Systems

Engineering advanced Generative AI architectures, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent frameworks (LangGraph, Google ADK), and fine-tuning custom LLMs for specific industry tasks.

Software Architectures

Creating robust and scalable API infrastructures, practicing clean coding patterns, implementing secure authentication schemas, and ensuring scalable system design for enterprise web platforms.

Languages

JavaScript TypeScript Python Java SQL (MySQL) C++ Dart HTML5 CSS3

Frameworks & Libs

ReactJS NextJS NodeJS Express Tailwind CSS Flutter

AI / Machine Learning

LangChain LangGraph Google ADK PyTorch Scikit-Learn RAG Fine-Tuning

Databases

MongoDB MySQL PostgreSQL

Developer Tools

VS Code Cursor IntelliJ IDEA Visual Studio Docker Git Postman

Methodologies

Agile Scrum Clean Architecture
07. Validation

Certifications

  • Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate Oracle
  • Docker for Absolute Beginners with Hands on Projects CoDeKu
  • AWS Cloud Practitioner Essentials AWS
  • Developing Front-End Apps with React IBM
  • Web and Programming Foundations STEM Link
  • Developing Back-End Apps with Node.js and Express IBM
  • Foundations of Machine Learning Zuu Crew
  • Full Stack Engineering STEM Link
  • Object Oriented Programming Specialization University of London
  • Level 3 Diploma in Information Technology ESOFT Metro Campus
08. Reach Me

Let's Connect

Let's build innovative solutions together.

I'm currently available for freelance work and open to new opportunities.

0767202717
Wennappuwa, Sri Lanka 🇱🇰