# Neil Artus – Software Engineer (Full Context)

> Software Engineer specializing in backend systems, Agentic AI architectures, and cloud deployments. Experienced in building production microservices, full-stack web applications, and automated CI/CD pipelines across Azure and bare-metal environments. Proven background in delivering high-impact automation tools, secure API integrations, and low-latency data pipelines.

## Contact & Links

- Name: Neil Artus
- Email: artus.neil.c@gmail.com
- Portfolio: https://nr2s.vercel.app
- GitHub: https://github.com/NeilR2s
- LinkedIn: https://www.linkedin.com/in/neil-artus-652115304
- Resume (PDF): https://nr2s.vercel.app/Artus-Resume.pdf

---

## Skills

**Languages:** Python, Go, C#, JavaScript, TypeScript, SQL
**Web and Backend:** FastAPI, Flask, React, Next.js, Vite, Tailwind CSS, .NET, Fiber, OpenTelemetry
**Data and Databases:** Cosmos DB, PostgreSQL, Qdrant, Microsoft SQL Server, Entity Framework, SQLite, Pandas, Pydantic
**AI and ML:** Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, Semantic Kernel, Google Vertex AI, PyTorch, TensorFlow, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP)
**Cloud and DevOps:** Azure DevOps, Docker, Firebase, Hetzner, Nginx, Gunicorn, Ubuntu Linux, Windows Server 2022, CI/CD
**Cybersecurity & Tools:** Microsoft Entra ID (Azure AD), Okta, Role-Based Access Control (RBAC), SonarQube, Black Duck, Coverity, Cloudflare, Git

---

## Experience

### AI Engineer Intern, Emerson – Metro Manila (Mar 2026 – Jul 2026)

- Automated cybersecurity compliance workflows using Azure AI Foundry Agents, custom hardened Model Context Protocol (MCP) integrations (Black Duck, OpenSSF, GitHub), and multi-agent orchestration graphs, saving 1,600+ analyst hours and $85,000+ in operational expenses.
- Built a real-time telemetry monitoring dashboard for AI agents and supply chain security metrics with sub-100ms p99 latency, establishing organizational secure development guidelines for MCP implementations.
- Upgraded and deployed security hotfixes for Emerson DeltaV compliance software using .NET 8, accelerating vulnerability mitigation and report generation speeds by 30%.
- Designed and maintained automated Azure DevOps CI/CD pipelines, reducing manual build and deployment cycles by 85%.
- Refactored legacy design system UI components using React, Radix UI, TanStack Table, and Recharts.
- Implemented enterprise authentication and access management using Okta, Microsoft Entra ID (Azure AD), and .NET middleware.

### Freelance Software Engineer, Albawani Co. – Remote (Aug 2025 – Jan 2026)

- Developed an internal HR automation application in Python that processes and generates attendance summary reports for 10,000+ employees, cutting manual reporting time by 50% per pay cycle.
- Deployed and configured backend services on Hetzner bare-metal Linux servers, integrating directly with existing enterprise IT infrastructure.
- Implemented secure authentication and Role-Based Access Control (RBAC) using Microsoft Entra ID to safeguard employee personal records.

### AI Engineer Intern (GenAI Research), JG Summit Holdings Inc. – Metro Manila (Jun 2025 – Aug 2025)

- Developed and deployed a full-stack Business Intelligence dashboard using Azure OpenAI and LangChain, delivering automated financial reporting workflows to Treasury and Corporate Strategy teams.
- Built an Agentic RAG (Retrieval-Augmented Generation) pipeline across 12+ enterprise data sources, decreasing manual financial analysis turnaround by 70%.
- Engineered automated data validation pipelines using SQL and Pydantic, processing 500+ monthly data points with 93% validation accuracy.
- Authored modular system architecture blueprints and technical documentation, enabling handoff and production deployment by 1 senior and 2 junior engineers within 3 days.

---

## Projects

### AGOS: Agentic Philippine Market Intelligence Platform
- Role: Full-Stack Developer
- Live: https://agos-agentic.vercel.app
- Source: https://github.com/NeilR2s/agos
- Tech: React, Vite, FastAPI, Python, Cosmos DB, Firebase, Gemini API, LangGraph, Tavily, Chronos
- Architected a multi-service market intelligence platform processing 350+ data points every 15 minutes for real-time stock forecasting, reducing ingestion latency by over 60%.
- Hardened microservices using FastAPI dependency injection for server-side Firebase JWT verification, parameterized Cosmos DB queries, and route-specific rate limiting via SlowAPI.
- Engineered a stateful, streaming financial research agent using LangGraph and the Gemini API, orchestrating 5 custom tool registries with sub-second streaming latency.

### MediSeen
- Role: Full-Stack Developer
- Live: https://mediseen-2.vercel.app
- Tech: PyTorch, Azure, GCP, React, Tailwind, FastAPI, Cloudflare
- Led development of an Agentic AI progressive web application for clinical decision support, winning 1st Place at the International Conference on Artificial Intelligence (ICAI 2026).
- Engineered cloud microservices on Azure, achieving 98ms average database query latency and 400ms time-to-first-token AI inference latency.
- Built a mobile-responsive interface using Tailwind CSS, improving measured System Usability Scale (SUS) scores by 15%.
- Configured security middleware protections, API routing policies, and Cloudflare DNS caching and SSL/TLS termination.

### Albawani HR Request Form
- Role: Freelance Software Engineer
- Tech: Azure, EntraID, Flask, JavaScript, TailwindCSS, Hetzner
- An attendance request form with role-based access control via Microsoft EntraID.
- Simplified internal HR operations by automating employee attendance tracking for 10,000+ employees.

### CNN-Osteo (Thermal Camera Osteoarthritis Detector)
- Role: Embedded AI Engineer
- Source: https://github.com/NeilR2s/raspberry-pi-osteoarthritis-detection
- Info: https://www.facebook.com/share/p/1D5AdFLZzQ/
- Tech: Python, TensorFlow, NumPy, MobileNet, Raspberry Pi
- Coordinated cross-functional development of a CNN based on MobileNet and TensorFlow for automated osteoarthritis detection, deployed on Raspberry Pi 5 with thermal camera for real-time diagnostics.
- Awarded 1st place at the Cavite Innovex 2025 Colloquium (COESCA Research of the Year).
- 99.40% validation accuracy and 98.19% test accuracy on 2,236 medical images.

### AlerSense
- Role: Full-Stack Engineer
- Live: https://alersense.vercel.app
- Source: https://github.com/NeilR2s/alersense
- Tech: C++, ESP32, Flask, Next.js, Firebase, Azure
- Built an ESP32-based attention-monitoring system with a Python inference data hub, Flask-SocketIO API, and Next.js real-time alert dashboard.
- Implemented HTTP JSON telemetry ingestion for heart rate, SpO2, temperature, and related sensor metrics with real-time broadcast without page reloads.

### Formal Language Compiler (DFA Visualizer)
- Role: Full-Stack Developer
- Live: https://dfa-visualizer-nr2s.vercel.app
- Source: https://github.com/NeilR2s/DFA-Visualizer
- Tech: TypeScript, Flask, Python, pytest
- Developed an interactive web-based DFA simulator and compiler using TypeScript, Flask, and SVG rendering to model state transitions and formal grammar logic in real time.
- Decoupled automata simulation algorithms from API routing logic, implementing test suites with pytest to verify strict compliance with formal language specifications.

---

## Education

**De La Salle University – Dasmariñas**
- Degree: Bachelor of Science in Computer Science with Specialization in Intelligent Systems (AI)
- Honors: Magna Cum Laude | GPA 3.52/4.0 | TOEIC 955/990
- Relevant Coursework: Data Structures & Algorithms, Machine Learning, Database Systems, Web Development, Computer Networks, Operating Systems, Software Engineering
- Extra-Curriculars: Secretary & Codeyssey Program Head – Computer Science Program Council (CSPC); managed technical workshops and hackathons for 1,000+ students
- Awards: CSPC Leadership Award Recipient, Dean's Honor List