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Resume

Backend & AI Software Engineer

Neil Artus

I build distributed systems, applied AI, and cloud infrastructure. My work spans enterprise automation at Emerson and JG Summit, streaming research agents, and embedded AI prototypes. I focus on the systems behind the interface: APIs, data pipelines, authentication, and deployment.

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Career

Professional Experience

  1. Emerson

    AI Engineer Intern

    -

    Developed AI-assisted cybersecurity compliance workflows, MCP integrations, and telemetry services for internal engineering teams.

    Technical details: AI Engineer Intern at Emerson
    • Worked on .NET compliance reporting software, data access, and a React interface built with Radix UI.
    • Built Azure DevOps CI/CD pipelines with SonarQube, Black Duck, and Coverity checks, artifact publishing, and IIS deployment.
    • Implemented authentication and role-based access controls using ASP.NET Core, Okta, and Microsoft Entra ID.

  2. JG Summit Holdings Inc.

    AI Engineer Intern (GenAI Research)

    -

    Developed a financial research and reporting application with Flask, React, Azure OpenAI, and LangChain for treasury and corporate strategy workflows.

    Technical details: AI Engineer Intern (GenAI Research) at JG Summit Holdings Inc.
    • Built retrieval and document-processing workflows with source citations and structured data validation using Pydantic and SQL.
    • Documented service architecture, API integration, and deployment procedures for engineering handoff.

Selected work

Projects

  • AGOS landing page introducing its Philippine market research workspace

    Market research infrastructure

    AGOS: Agentic Philippine Market Intelligence Platform

    Philippine market research platform with a React interface, FastAPI services, and ingestion pipelines for market, economic, and news data.

    Stack / FastAPI / Python / DeepSeek / SSE / Cosmos DB / Firebase / SlowAPI / React

    Live site (opens in a new tab)View source (opens in a new tab)
  • Attendance report portal sign-in screen

    Reporting workflows

    Enterprise HR Automation Engine

    Python-based attendance reporting workflow with authenticated access to employee records.

    Stack / Python / Hetzner / Nginx / Entra ID

    Source not published
  • MediSeen landing page introducing its clinical decision-support prototype

    Applied AI prototype

    MediSeen: Clinical Decision Support Platform

    Clinical decision-support research prototype with a web interface and streamed AI responses.

    Stack / FastAPI / React / Azure / Cloudflare / Tailwind CSS / SSE

    Source not publishedLive site (opens in a new tab)
  • Thermal image of knees shown in the CNN-Osteo research prototype

    Embedded AI research

    CNN-Osteo: Thermal-Image Screening Prototype

    Research prototype using TensorFlow and MobileNetV3Small to classify thermal knee images into osteoarthritis-related categories, with Raspberry Pi as the deployment target.

    Stack / Python / TensorFlow / MobileNet / Raspberry Pi / NumPy

    View source (opens in a new tab)
  • AlerSense landing page showing its attention-monitoring demonstration

    IoT telemetry prototype

    AlerSense: Attention-Monitoring Prototype

    Demonstration prototype combining ESP32 telemetry, a Python video-inference component, a Flask-SocketIO API, and a Next.js dashboard.

    Stack / C++ / ESP32 / FreeRTOS / Flask-SocketIO / Next.js

    Live site (opens in a new tab)View source (opens in a new tab)
  • DFA Visualizer workspace with state transitions and formal grammar controls

    Language tooling

    DFA Visualizer: Formal Language Workbench

    Browser-based React and TypeScript workbench for DFA simulation (automata and formal languages), right-linear grammar derivation, and derived PDA simulation.

    Stack / TypeScript / React / SVG / Python reference tooling

    Live site (opens in a new tab)View source (opens in a new tab)

Technical toolkit

Skills

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

Academic foundation

Education

De La Salle University - Dasmariñas

Bachelor of Science in Computer Science with Specialization in Intelligent Systems (AI)

Honors & achievements

Magna Cum Laude | GPA 3.52/4.0 | TOEIC 955/990

  • CSPC Leadership Award Recipient
  • Dean's Honor List
Leadership
Secretary & Codeyssey Program Head, Computer Science Program Council (CSPC); organized technical workshops and hackathons