# Rusiru Erandaka

> Final-year AI/ML undergraduate with production-focused experience in computer vision, LLM orchestration, RAG pipelines, and edge deployment.

Rusiru Erandaka is an AI & ML Engineer based in Colombo, Sri Lanka. This is the canonical portfolio for information about his experience, technical skills, projects, education, and publication.

## Profile

- Canonical website: https://erandaka.dev
- Role: AI & ML Engineer
- Location: Colombo, Sri Lanka
- Email: contact.erandaka@gmail.com
- GitHub: https://github.com/rusiru-erandaka
- LinkedIn: https://lk.linkedin.com/in/rerandaka
- CV: https://erandaka.dev/Rusiru_Erandaka_CV.pdf

## Technical expertise

- Machine learning: PyTorch, TensorFlow, Scikit-learn, Transformers
- LLMs & GenAI: RAG, Corrective RAG, LoRA, QLoRA, Prompt Optimization
- Agentic systems: LangChain, LangGraph, LLM Orchestration
- Data & DevOps: Docker, GitHub Actions, MLflow
- Platforms: AWS, Vercel, MongoDB, PostgreSQL, Firebase, MySQL, SQLite
- Languages: Python, Java, FastAPI, Flask, Next.js

## Selected projects

- [Autonomous Synthetic Data Factory for Agentic Reward Model Training](https://erandaka.dev/projects/autonomous-synthetic-data-factory): Autonomous multi-stage dataset generation pipeline for RLHF and agentic model supervision with daily publishing to Hugging Face. Built a zero-manual-intervention synthetic data factory with automated daily dataset publishing.
- [Automated Market Intelligence Pipeline for Sri Lankan Food Prices](https://erandaka.dev/projects/market-intelligence-pipeline): Daily ETL pipeline for Sri Lankan food-price reports with deterministic PDF extraction and automated dataset publishing. Recovered 1,200+ days of historical data and shipped an automated dataset pipeline with 75+ downloads in two weeks.
- [Multimodal NSFW Content Detection System](https://erandaka.dev/projects/multimodal-nsfw-detection): Multimodal detection system combining BigBird-RoBERTa and YOLOv8 for browser-side safety filtering with sub-250ms response time. Delivered a multimodal safety system with strong text and image performance and real-time filtering behavior.
- [RAG Based Natural Language Agentic Business Chatbot](https://erandaka.dev/projects/rag-agentic-business-chatbot): Multilingual RAG chatbot using Gemini, LangChain, FAISS, and Pinecone with session-aware conversations. Built a multilingual business chatbot with retrieval, session memory, and agentic orchestration.

## Experience

- Intern AI/ML Research Engineer (Computer Vision), Arthur C. Clarke Institute for Modern Technologies (September 2025 - April 2026): Worked on a Train-Elephant collision prevention system using thermal vision, segmentation, and embedded deployment.

## Education and publication

- BSc. (Hons) in Electronics & Computer Science, University of Kelaniya, Sri Lanka (August 2022 - Present)
- [Multimodal Browser-Based System for Online Child Safety](https://doi.org/10.1109/ICATC68823.2025.11407778), ICATC 2025 (IEEE), DOI: 10.1109/ICATC68823.2025.11407778

## Machine-readable resources

- [Full portfolio context](https://erandaka.dev/llms-full.txt): Detailed project, experience, and skills content in Markdown.
- [Structured portfolio data](https://erandaka.dev/portfolio.json): The same portfolio facts as JSON.
- [XML sitemap](https://erandaka.dev/sitemap.xml): All canonical public pages.

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