Eric Amoh Adjei

Data Sciences & AI Engineering Portfolio

Welcome to my professional portfolio! I specialize in AI-powered application design, real-time personalization systems, and cross-platform development. My work integrates machine learning, NLP, and cloud infrastructure to build intelligent products that reduce friction between users and technology.

AI & Adaptive Systems

Real-time recommendation engines, behavioral modeling, and personalization pipelines.

Technical Skills and Expertise

Voice-Driven Interfaces

Conversational UI, low-friction interaction design, and context-aware navigation.

Data Management Platforms (DMP)

Handling data storage, processing, and analysis to inform AI-driven features and insights.

APIs & Integrations

Connecting diverse services and APIs (e.g., payment gateways, third-party data sources) to build integrated solutions.

Cloud Computing

Architected scalable backend logic for user data processing and feature deployment.

Feel free to explore the sections of my portfolio. On the SIP page, you’ll find an in-depth look at my Student Innovation Project – the capstone project that pushes the boundaries of technology and creativity. The Boards page details how my work fulfills my degree’s objectives and highlights the competencies I’ve mastered. Under Projects, I’ve included a selection of other academic coursework projects as well as personal and freelance projects that I’ve developed. Each piece of work is a step in my journey to becoming a well-rounded technologist, and I’m excited to share these with you. Thank you for visiting, and I hope you enjoy learning about my projects as much as I enjoyed working on them!

MY SIP PROJECT

Ei Mix is a context-aware adaptive audio platform that dynamically orchestrates music, meditation, audiobooks, and frequency-based sound environments based on real-time user state.
It integrates voice interaction, adaptive recommendation modeling, and modular audio orchestration into a scalable cross-platform architecture.
Core Innovation:
• Real-time adaptive recommendation engine
• Voice-driven interaction model
• Modular AI-based audio orchestration
• Scalable cross-platform architecture

View Project

Idea
Turn ideas into actionable plans through a comprehensive discovery phase, ensuring project clarity and feasibility.
Design
Blend creativity and functionality to craft user-centric designs with detailed UI/UX planning and prototypes.
Development
Build robust solutions through a meticulous development process that adheres to best practices.
Testing
Guarantee reliability with rigorous quality assurance and seamless performance testing.
Deployment
Ensure a smooth transition to live environments with optimized deployment strategies.

Mix Development Roadmap

Phase 1 – Core Adaptive Engine Prototype ✅ Completed
Initial modular audio orchestration and personalization framework.

Phase 2 – Voice Interaction Layer Integration 🔄 In Progress
Low-friction conversational control and command recognition.

Phase 3 – Real-Time Recommendation Modeling ⏳ Upcoming
Adaptive logic responding to user context and emotional state.

Phase 4 – Controlled User Testing & Optimization ⏳ Upcoming
Performance validation, feedback iteration, and refinement.

Phase 5 – Scalable Deployment Architecture ⏳ Upcoming
Cloud-backed orchestration, data pipelines, and production readiness.

Ei Mix System Architecture Overview

`{`User Layer`}`

Voice Input
Emotion / Context Signals
Manual Audio Controls

↓

`{`Intelligence Layer`}`

Adaptive Recommendation Engine
Context Modeling Logic
Voice Command Processing

↓

`{`Orchestration Layer`}`

Modular Audio Routing
Music / Meditation / Audiobook Engine
Frequency Sound Engine

↓

`{`Infrastructure Layer`}`

Cloud Deployment
Scalable Backend APIs
Data Processing Pipelines

The system is designed as a modular architecture to allow future integration of navigation safety features, biometric inputs, and adaptive driving-mode optimization.