
Mirada Kariyawasam
@miradakariyawasam
Machine Learning Engineer at IronOne Technologies, fine-tuning local LLMs for document summarization and building retrieval-backed services.
What I'm looking for
At IronOne Technologies, I deployed and fine-tuned local LLMs for document summarization, benchmarking quantization and long-context chunking strategies. I also applied SFT/DPO fine-tuning with QLoRA and built backend services using FastAPI, PostgreSQL, and FAISS-based retrieval via LangChain.
For my final year research project, AI-Driven Cyber Threat Intelligence, I developed a pipeline that brings web, Telegram, and PDF sources into a Neo4j knowledge graph. I fine-tuned SecureBERT for entity recognition and built a RAG-based analyst query interface; I’m co-authoring an IEEE conference paper on this work for BuildSEC'26.
Experience
Work history, roles, and key accomplishments
Intern Machine Learning Engineer
IronOne Technologies
May 2025 - Nov 2025 (6 months)
Deployed and fine-tuned local LLMs for document summarization, benchmarking quantization and long-context chunking strategies, applying SFT/DPO fine-tuning with QLoRA, and building backend services with FastAPI, PostgreSQL, and FAISS-based retrieval via LangChain.
Education
Degrees, certifications, and relevant coursework
University of Ruhuna
BScEng (Hons), Computer Engineering
2022 -
Pursuing a BScEng (Hons) in Computer Engineering with coursework in Advanced AI, Machine Learning, and Software Development.
Google Cloud Skills Boost
Introduction to Generative AI, Generative AI
Completed the Introduction to Generative AI certification.
Hugging Face
AI Agents Fundamentals, AI Agents
Completed the AI Agents Fundamentals certification.
DeepLearning.AI
Supervised Machine Learning: Regression and Classification, Machine Learning
Completed the Supervised Machine Learning: Regression and Classification certification.
NPTEL
Fundamentals in Cognitive Robotics, Cognitive Robotics
Completed the Fundamentals in Cognitive Robotics certification.
Tech stack
Software and tools used professionally
Microsoft Azure
Kubernetes
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Node.js
Spring Boot
Next.js
Tailwind CSS
Neo4j
Figma
OpenCV
React
JavaScript
Python
Java
MATLAB
TensorFlow
PyTorch
scikit-learn
Streamlit
FastAPI
Linux
TypeScript
Git
Docker
Hugging Face
LangChain
Ollama
Convex
Shadcn/ui
ChromaDB
Clerk
Vite
Faiss
LangGraph
Redux Toolkit
Sentence Transformers
Seaborn
Matplotlib
Availability
Location
Authorized to work in
Salary expectations
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