Software Engineer exploring AI systems and autonomous decision-making
Building intelligent software systems with a focus on AI, autonomy, and practical engineering.
I am a software engineer focused on intelligent systems that can reason, adapt, and support practical decision-making. My work bridges full-stack engineering, AI infrastructure, and research-oriented software design.
I have strong experience with React, Next.js, TypeScript, .NET Core, and Python, alongside practical expertise in AI tools and modern web technologies.
I began with full-stack software development and gradually moved toward problems in artificial intelligence, autonomous systems, embedded and networked software, embedding infrastructure, vector search, and memory systems for LLM applications. My long-term goal is to contribute to academic and institute-level research in machine intelligence, dependable information systems, and robust autonomous decision-making.
I value rigorous problem formulation, clear implementation, and software that is both technically elegant and practically useful.
| Area | Interest |
|---|---|
| Decision Under Uncertainty | Robust decision-making in partially observable and dynamic settings. |
| AI Infrastructure | Embedding pipelines, vector search, memory subsystems, and agent-facing protocols. |
| Autonomous Systems | Software architectures for adaptive, sensor-aware, and control-oriented systems. |
| Networked Software | Distributed applications, communication protocols, and message-based integration. |
| Reliability & Security | Testing, fault-aware design, privacy-aware engineering, and dependable information systems. |
| Perception & Signal Processing | Image processing, statistical signals, and perception modules for intelligent systems. |
Built with curiosity, not complexity.
| Project | Focus | Summary |
|---|---|---|
| AIP - Agent Interaction Protocol | Agent Systems, Protocol Design | A TypeScript reference workspace for agent-to-service interaction over HTTPS with discovery, action schemas, task execution, and streaming updates. |
| Embrix | Local Embeddings, Developer Tooling | A production-oriented Node.js framework for generating and benchmarking local text embeddings with @xenova/transformers. |
| Vectra | Vector Search, AI Infrastructure | An API-first vector database concept for semantic search with external embedding generation and HNSW-style indexing. |
| CHME | LLM Memory, Deterministic Systems | A compact in-memory subsystem for document-grounded question answering, routing, and snapshot persistence. |
| Elentis | Deno, REST APIs | A minimal folder-based REST API toolkit for clean and organized TypeScript APIs on Deno. |
| Work | Type | Year |
|---|---|---|
| Embrix: A Node.js Framework for Embedding Vector Generation and Similarity Evaluation | Exploratory technical note | 2026 |
| Compact Hierarchical Memory Engine: A Deterministic In-Memory Subsystem for Document-Grounded QA | Exploratory technical note | 2026 |
| Domain | Tools & Technologies |
|---|---|
| Languages | TypeScript, JavaScript, Python, C# |
| Frontend | React, Next.js, React Native, Tailwind CSS, Shadcn UI, Bootstrap |
| Backend | Node.js, .NET Core, Deno, REST APIs, WebSockets, SignalR, Socket.io |
| Data | PostgreSQL, Microsoft SQL Server, SQLite, MongoDB |
| AI & Systems | Embeddings, vector search, local inference, LLM memory systems, autonomous decision systems |
| Systems & Infrastructure | Docker, Git, CI/CD, MQTT, distributed systems, cloud-oriented deployment workflows |
I am currently exploring adaptive learning systems, robust autonomous decision-making, and practical AI infrastructure for intelligent applications. I am open to research collaborations and selected engineering projects in AI, autonomous systems, and advanced software engineering.