Applied AI Engineer • Computer Vision • Sensor Fusion • R&D Software

I build software tools for technical, real-world systems.

I am a computer engineer focused on applied AI, computer vision, sensor fusion, simulation, and automation tools. My work connects software engineering with technical R&D, helping turn complex data and system behavior into useful, reliable outputs.

View Public Demo ProjectsDownload Resume

AI / ML

Computer vision, fusion, automation, and LLM-based tools.

R&D

Technical software for engineering programs and simulations.

Build

Practical tools, clean interfaces, and reliable workflows.

Selected Technical Work

Sanitized experience summaries

Some work is summarized at a high level due to contractual and confidentiality constraints. No proprietary code, customer details, restricted datasets, or sensitive system information is included.

Sanitized Contract Work

Computer Vision & Multi-Spectral Perception

Developed ML-based perception workflows using synthetic and real multi-spectral data to support object detection, sensor modeling, and fusion-oriented validation.

PythonComputer VisionYOLOv8Sensor Fusion
Non-confidential summary

Sanitized Contract Work

AI Automation & Decision Support

Built AI-enabled internal tools using cloud services, vector search, and LLM APIs to accelerate technical analysis, document workflows, and engineering decision support.

AWSOpenAI APIWeaviatePython
Non-confidential summary

Sanitized Contract Work

Simulation & Engineering Modeling

Created simulation and modeling workflows for sensor behavior, environmental effects, technical trade studies, and system-level R&D validation.

GazeboANSYSMATLABPhysics Modeling
Non-confidential summary

Public Demo Projects

Public projects built for review

These projects demonstrate implementation ability using open data, local tooling, and non-sensitive workflows across backend API architecture, AI retrieval, and computer vision visualization.

Local Demo Note

These portfolio projects are local technical demos rather than deployed production applications. They cover backend API architecture, local AI retrieval, and computer vision dashboarding using public, non-sensitive workflows. Each GitHub repository includes setup instructions and the local workflow needed to run or review the project.

Public Demo Project 01

Complete Local API

ProjectPulse API

A Clean Architecture project-management system centered on an ASP.NET Core 8 API, with EF Core persistence, CQRS-style MediatR workflows, FluentValidation, Swagger/OpenAPI, seeded demo data, tests, Docker Compose, GitHub Actions CI, and a thin React/Vite dashboard.

C#ASP.NET Core 8EF CoreMediatRFluentValidationReact/VitexUnitDocker/CI

What it demonstrates

  • • Clean Architecture layers
  • • CQRS + validation pipeline
  • • Task workflow + audit logging
  • • React dashboard + API tests
View Repository

Public Demo Project 02

Enhanced Local MVP

Technical Paper AI Search Assistant

A local technical-paper search assistant that combines PDF ingestion, local embeddings, hybrid vector/BM25 retrieval, PDF upload with index rebuild, and Ollama-based local answer synthesis to return source-grounded answers from public technical PDFs.

Next.jsFastAPIChromaBM25OllamaSentence Transformers

What it demonstrates

  • • PDF upload + re-indexing
  • • Hybrid vector/BM25 retrieval
  • • Local LLM answer synthesis
  • • Source-grounded snippets
View Repository

Public Demo Project 03

Static Local MVP

Open Computer Vision Detection Dashboard

A static local computer vision dashboard that visualizes precomputed YOLOv8 object-detection results on public urban-scene images. The dashboard displays bounding boxes, confidence scores, class summaries, and detection tables without live inference, accounts, or private data.

Next.jsTypeScriptTailwind CSSYOLOv8Computer VisionStatic JSON

What it demonstrates

  • • Object-detection visualization
  • • Bounding-box overlays
  • • Confidence-score summaries
  • • Technical dashboard UI
View Repository

Technical Strengths

Skills & Tools

Backend & APIs

  • C#
  • ASP.NET Core
  • FastAPI
  • EF Core
  • SQL
  • REST APIs

Frontend

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • Vite

AI & Data Systems

  • Python
  • LLM Systems
  • RAG
  • Chroma
  • Computer Vision
  • YOLOv8

DevOps & Tools

  • Docker
  • GitHub Actions
  • Swagger/OpenAPI
  • AWS
  • Linux
  • Git

About

Software engineer with an R&D mindset.

I work at the intersection of software engineering, AI, simulation, and technical research. My experience includes computer vision pipelines, multi-spectral sensor workflows, physics-based modeling, and AI-powered internal tools for automation and decision support.

I am interested in software engineering roles where I can build useful systems, work with complex data, and contribute to products that require both strong engineering judgment and practical implementation.

Contact

Let's connect.

I am open to software engineering, applied AI, automation, and R&D-focused technical software roles.

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