AI & Machine Learning Engineer • Full-Stack Developer

Hello, I’m Vincent Tettey
engineering intelligent models, full-stack systems, & microservices.

I build AI-powered products, data-driven apps, and portfolio websites that are easy to use and built to last. My focus is always on solving real problems with clean, reliable code.

Explore My Work Download CV Let’s Connect

5+ Featured AI & ML Systems

AI / ML End-to-End Solutions

Rust / Automation Backend & AI Agents

Available for AI / Machine Learning, Software Engineering and Data Science Roles

Open to Opportunities Full-Stack AI Architecture & Engineering

Designing enterprise microservices, LLM agent workflows, and quantitative modeling frameworks.

Systems & Backend High-Performance Infrastructure

Skilled in Rust, Python, FastAPI, React/Redux Toolkit, Docker containerization, and SQL systems.

Let’s Connect Research, Consulting, & Engineering Roles

Available for technical collaboration, intelligent product builds, and engineering roles.

About Me

I combine web development, machine learning, and applied AI to build products that solve real problems, from the first idea to the finished product.

I am a performance-driven AI/ML Engineer with expertise in building end-to-end intelligent applications, NLP workflows, microservices, and predictive systems. Currently pursuing my BSc. in Actuarial Science at KNUST, I combine statistical inference with modern software engineering practices.

My work spans full-stack AI development, ranging from asynchronous backend microservices integrated with LLM tool-calling engines to real-time vision-based autonomous navigation logic.

Rust Python PyTorch FastAPI React & Redux Docker NLP & LLMs SQL & BigQuery

Scalable AI Microservices

Designing asynchronous RESTful endpoints and agent workflows powered by LLM tool-calling capabilities.

Quantitative Modeling

Leveraging statistical analysis, probability theory, and machine learning to extract insights from high-dimensional datasets.

STEM Mentorship

Computing instructor introducing algorithmic thinking, structured problem solving, and software logic to students.

Services & Expertise

Architecting intelligent software, full-stack systems, and modern web applications.

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AI & LLM System Engineering

Designing autonomous AI agents, tool-calling frameworks, NLP classification, and custom machine learning pipelines.

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Backend Microservices & APIs

Building high-performance asynchronous APIs using FastAPI, Rust, SQLite3, PostgreSQL, and Docker containerization.

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Full-Stack Web Development

Creating responsive web interfaces and state-driven frontend applications using React.js, Redux Toolkit, and Streamlit.

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Data Science & Analytics

Feature engineering, quantitative analytics, statistical modeling, and predictive ML classification pipelines.

Technical Skills

Languages, frameworks, and developer tools across the machine learning stack. (Swipe to explore on touch screens)

Rust Python (Advanced) PyTorch FastAPI React.js Redux Toolkit Docker SQL (PostgreSQL, BigQuery) TensorFlow Scikit-Learn XGBoost LLM Tool Calling Transformers Streamlit Git / GitHub CI/CD Pipelines C / C++ Linux / Bash Rust Python (Advanced) PyTorch FastAPI React.js Redux Toolkit Docker SQL (PostgreSQL, BigQuery)