Alex Kagozi

Alex Kagozi

Graduate Research Assistant @ University of South Dakota

About

I'm a passionate software engineer and AI researcher with over four years of experience architecting scalable systems and creating impactful digital solutions. My expertise encompasses full-stack development, cloud-native applications, and AI-driven technologies where I blend deep technical skills with a strong product mindset. Throughout my career, I've contributed to a wide range of projects from modernizing monolithic applications into microservices, building real-time messaging and e-commerce platforms, to developing USSD interfaces and integrating with payment gateways. Alongside this, I'm deeply engaged in artificial intelligence and machine learning, particularly in areas such as reinforcement learning, convolutional neural networks (CNNs), multilayer perceptrons (MLPs), and IoT-driven automation systems. I love experimenting with smart systems that learn, adapt, and connect the physical and digital worlds. 🔧 Core Stack: FastAPI, TypeScript, NestJS, Vue, MongoDB, Nuxt 3, Firebase, Tailwind ☁️ Cloud & DevOps: Kubernetes, GKE, Helm, Docker, AWS, CI/CD 📡 AI & Smart Tech: Python, PyTorch, TensorFlow, OpenCV, Reinforcement Learning, CNNs, MLPs, IoT 💡 Key Strengths: Scalable architectures, ML integrations, cross-platform systems, API design, clean and maintainable codebases.

Country

-

City

United States

Industry

Computer Software

Skill

Artificial Intelligence (AI), Natural Language Processing (NLP), Large Language Models (LLM), MySQL, PHP, Blade, Amazon Web Services (AWS), DigitalOcean, NestJS, MongoDB, Nuxt.js, Google Cloud Platform (GCP), Firebase, Machine Learning, Scikit-Learn, Pandas (Software), NumPy, Vue.js, Node.js, Laravel

Experience

University of South Dakota

Graduate Research Assistant

University of South Dakota

LinkedIn
2025-9 - Present · 1 yr 1 mo

South Dakota, United States

NSF I-Corps Hub Great Plains

NSF iCorps Entrepreneurial Lead

NSF I-Corps Hub Great Plains

LinkedIn
2025-6 - 2025-7 · 2 mos

United States

- Designing and refining product direction based on real user feedback around bookmark and tab organization habits. - Collaborating with engineering and research teams to develop an AI-powered, privacy-first browser extension that runs fully locally. - Building a semantically meaningful folder structure using natural language processing and intuitive UX patterns. - Driving early-stage marketing and outreach efforts to grow our user research base and shape a product people want.

Triply.co

Full Stack Engineer

Triply.co

LinkedIn
2023-10 - 2024-12 · 1 yr 3 mos

Nairobi County, Kenya

MediaPal

Software Developer

MediaPal

LinkedIn
2022-3 - 2023-10 · 1 yr 8 mos

Nairobi, Kenya

Nano Digital

Full Stack Developer

Nano Digital

LinkedIn
2022-3 - 2023-10 · 1 yr 8 mos

Nairobi County, Kenya

Morans Kenya

Software Developer

Morans Kenya

LinkedIn
2020-9 - 2021-12 · 1 yr 4 mos

Nairobi County, Kenya

Education

University of South Dakota

University of South Dakota

LinkedIn

Computer Science

2025-1 - 2026-12 · 2 yrs
Udacity

Udacity

LinkedIn

Artificial Intelligence

2024-9 - 2025-1 · 5 mos
Udacity

Udacity

LinkedIn

ALX-T Cloud Developer

2022-11 - 2023-2 · 4 mos

Fundamentals of cloud development and deployment with AWS, microservices, Kubernetes clusters, and serverless application technology.

The Technical University of Kenya

The Technical University of Kenya

LinkedIn

Civil and Structural Engineering

2016-1 - 2021-8 · 5 yrs 8 mos

Alex Kagozi's Contact Information

Email

******@***.com

Phone

(**) *** ****

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