Ibukunoluwa Olutayo
Software Engineer Intern / CS Student
Computer Science student (B.Sc. expected May 2026) with hands-on experience in backend engineering, AI/ML pipelines, distributed systems, and network infrastructure support. Strong foundation in algorithms, systems, and cloud-native development (AWS, Docker, Kubernetes). Passionate about building reliable, data-driven services and accelerating model lifecycle automation.
Skill Matrix (Type to search)
Languages & Core
- Assembly
- C
- C++
- C#
- Java
- Kotlin
- Swift
- Python
- JavaScript
- TypeScript
- PHP
- Dart
- SQL
- HTML
- CSS
Web & Mobile Frameworks
- Node.js
- Spring Boot
- Express.js
- Django
- Flask
- FastAPI
- React Native
- Flutter
APIs & Architectures
- REST API
- GraphQL
- gRPC
- Microservices
- Event-Driven
- WebSockets
Cloud & DevOps
- AWS
- EC2
- S3
- Lambda
- API Gateway
- Docker
- Kubernetes
- CI/CD
- Terraform
- Kafka
- Apache Spark
- Git
AI/ML & Data
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- Time-Series Analysis
- NLP
- Quantitative Modeling
Tools & Platforms
- Firebase
- Infoblox
- Cisco Prime
- SolarWinds
- Adobe Creative Suite
- Fusion 360
- MATLAB
- Logix Pro
- netman1
- Proteus 8
- Vision
Hardware & Embedded
- Microcontrollers (Arduino)
- ESP
- Raspberry Pi
Experience
Software Engineer Intern • Dark Alpha Capital
May 2025 – Aug 2025- Developed high-frequency, low-latency microservices in C++ for a proprietary algorithmic trading platform.
- Engineered a distributed data pipeline using Kafka and Spark reducing backtesting time by 30%.
- Built a real-time risk management dashboard in Python (Flask) with WebSockets for live exposure tracking.
- Implemented unit and backtesting frameworks achieving ~95% code coverage.
Lead AI/ML & Backend Software Engineer Intern • Outlier AI
Jun 2024 – Dec 2024- Architected and operationalized 35+ end-to-end ML pipelines boosting MLOps efficiency by 61%.
- Spearheaded development of 'Genesys' no-code AI agent conductor cutting integration time by 83%.
- Built 'Studio Wizard' automated AI builder reducing model creation time by 30%.
- Collaborated across backend + ML teams to standardize deployment and monitoring patterns.
Student Network Assistant • Michigan State University IT
Sep 2025 – Present- Administer and secure access for 10+ enterprise network/monitoring systems (SolarWinds, Cisco Prime, Infoblox).
- Automated routine network health checks with Python reducing manual monitoring workload by 25%.
- Supported incident response and baseline configuration validation to improve reliability.
- Documented procedures to streamline onboarding for new student technicians.
Highlighted Projects
AI-Powered Resume Analyzer
AWS-hosted NLP service that analyzes resumes and scores relevance; improved model accuracy by 25% and deployed as a Dockerized REST API.
Distributed Microservices for E-Commerce
Auth, inventory, and payments services (Node.js + Docker + Kubernetes) with secure inter-service communication via custom AWS Lambda + API Gateway (JWT auth).
Campus Cart - Mobile Application
Flutter & Firebase marketplace for safe student transactions; dynamic UI improved engagement by 40% and satisfaction by 85% (self-reported).
Education
Bachelor of Science in Computer Science (Expected May 2026)
Certifications
Robotics Development and Automation
Industrial Automation
Computer Hardware & Software Repairs
AWS Certified Solutions Architect (In Progress - Training)
Key Achievements
- Decreased historical trading backtest runtime by 30% via Kafka + Spark pipeline optimization (Dark Alpha Capital).
- Operationalized 35+ ML pipelines increasing MLOps efficiency by 61% (Outlier AI).
- Reduced manual network monitoring workload by 25% through Python automation scripts (MSU IT).
- Delivered no-code AI agent conductor reducing integration time by 83% (Outlier AI).
- Shipped real-time risk dashboard enabling proactive exposure tracking for trading operations.
Contact
Email: ibukunoluwaolutayo@gmail.com
Location: East Lansing, MI