I architect and deliver production-grade systems that balance technical excellence with business impact. My approach combines modern architectural patterns, AI-assisted automation, and cloud-native design to build solutions that scale from MVP to enterprise-level traffic.

Current Focus: AI orchestration, distributed systems, and leading engineering teams to deliver high-performance applications.

const engineer = {
  experience: "7+ years",
  specialization: [
    "Full-Stack Architecture",
    "AI/ML Integration",
    "Cloud-Native Systems",
    "Team Leadership"
  ],
  impact: {
    projectsLed: "15+",
    teamsManaged: "Multiple cross-functional teams",
    systemsArchitected: "Healthcare platforms, Fintech apps, Enterprise SaaS"
  }
};

• Led Project 10 Million at Mobihealth International: Nationwide telehealth initiative serving 100K+ concurrent users
• Built AI-Powered Matching System: Reduced patient-doctor allocation time by 65% using clustering algorithms
• Migrated Legacy Monolith to Microservices: Achieved 3× performance improvement for critical healthcare infrastructure
• Founded Solvestation Technologies: Leading technical strategy and mentoring next-generation engineers

Production-Grade Expertise:

Backend:    Python • TypeScript • C# • Java • Go
Frameworks: Django • FastAPI • ASP.NET Core • Node.js • Spring Boot
Frontend:   Next.js • React • Angular • Flutter

Patterns:     Microservices • DDD • Event-Driven • Vertical Slice Architecture
Databases:    PostgreSQL • MongoDB • Redis • DynamoDB • SQL Server
Cloud:        AWS (EC2, Lambda, S3, RDS, DynamoDB)
DevOps:       Docker • Kubernetes • CI/CD • Terraform • Traefik
Monitoring:   Prometheus • Grafana • Loki

Frameworks:   LangChain • LangGraph • TensorFlow • PyTorch • scikit-learn
APIs:         Gemini • OpenAI • Anthropic Claude
Techniques:   NLP • Clustering • Classification • Prompt Engineering
MLOps:        Model Versioning • Containerized Deployments • Performance Monitoring

JWT • OAuth2 • OpenID Connect • Encryption • RBAC • HIPAA Compliance

Tech Stack: Python • FastAPI • LangGraph • Gemini API • PostgreSQL • Redis

Architected intelligent study assistant with personalized learning paths and real-time progress analytics.

• Designed custom AI workflows using LangGraph for adaptive reasoning
• Optimized backend latency to <200ms through intelligent caching strategies
• Impact: 70% reduction in study planning time, 85% user satisfaction

Tech Stack: Python • FastAPI • scikit-learn • NLP • React

Full-stack AI solution detecting adverse drug interactions with natural language interface.

• Implemented machine learning models for interaction detection
• Built conversational AI for accessibility to non-technical users
• Impact: Successfully demoed at healthcare hackathon, positive clinical feedback

Tech Stack: Python • Django • PostgreSQL • Redis • AWS

End-to-end pharmacy delivery and prescription management system.

• Designed secure doctor-to-pharmacy workflows with HIPAA compliance
• Integrated payment processing and real-time order tracking
• Built onboarding system for pharmacy networks

• Technical Instructor at MGQS Labs: Teaching DSA, Web Development, and Software Architecture
• Team Lead: Managed cross-functional teams of 5-10 engineers across multiple projects
• Mentor: Supervised SIWES students and junior developers, focusing on clean architecture and best practices

Currently exploring:

• Advanced AI orchestration with multi-agent systems
• Distributed system patterns and event sourcing
• Cloud-native security and zero-trust architectures

Certifications: Cybersecurity • DevOps • DSA • Python • Java • C# • Cloud Architecture • Machine Learning.

Building something interesting? Let's discuss how we can collaborate.

Email: [email protected]
LinkedIn: linkedin.com/in/balogun14
Portfolio: github.com/balogun14
Location: Lagos, Nigeria (Open to Remote)