🎓 Computer Engineering Graduate
🧠 AI Engineering • Multi-Agent Systems • Distributed Systems
⚙️ Building intelligent systems that reason, communicate, and collaborate

• 💼 LinkedIn: https://www.linkedin.com/in/oshan-ranasinghe/
• 🌐 Portfolio: https://oshan.dev/

I design and build research-grade intelligent systems at the intersection of:

• 🤖 Agentic AI & Autonomous Systems
• 🧠 LLM-powered Reasoning Architectures
• 🔗 Ontology-based Communication & Semantic Negotiation
• 🌐 Distributed Systems & Event-Driven Architectures
• 🚁 AI + Robotics (Vision-based autonomy)

My focus is not just building applications — but engineering systems of intelligence.

• 🧩 STRATON-LLM
  Strategy-Oriented Negotiation Framework with LLM Mediation
  → Ontology alignment + structured argumentation for multi-agent systems

• 🏗️ Lattice v0.1
  Research-grade decentralized multi-agent framework
  → Async execution, agent orchestration, knowledge graphs, negotiation

• ⚡ Deepening expertise in
  → AI systems design, distributed coordination, and intelligent architectures

Ontology-based negotiation framework for intelligent agents

Core ideas:

• Semantic conflict detection & resolution
• Structured argumentation protocols (multi-turn reasoning)
• Confidence-based decision systems
• Persistent mapping & learning layer

Decentralized multi-agent framework (Python + asyncio)

Highlights:

• Agent-to-agent communication (no central control)
• Task/state orchestration with strict boundaries
• Memory & knowledge abstraction layers
• Observability + execution tracing

Event-driven communication backbone for agent systems

Includes:

• Exchange/queue architecture (direct, topic, fanout)
• Message schema validation & routing
• Fault tolerance, retries, tracing
• Async Python integration

AI-powered autonomous drone (vision-based perception)

Focus:

• Computer vision-driven navigation
• Embedded AI deployment (Jetson Nano)
• Real-time decision pipelines
• Robotics + autonomy constraints

Languages & Core Python C/C++ JavaScript

Backend & Systems FastAPI Node.js RabbitMQ gRPC REST

AI / ML LLMs CNN RL Deep Learning

Agent Systems LangChain LangGraph AutoGen

Knowledge & Semantics RDFlib Owlready2 SPARQL

Infra & Tools Docker Kubernetes AWS GCP

• AI-native distributed systems
• Autonomous multi-agent collaboration frameworks
• Reasoning-driven architectures on top of LLMs
• Production-grade intelligent platforms

⭐ Always building. Always refining. Always thinking in systems.