Chizaram Chibueze
Engineer |Product Thinker |Venture Building
I build high-integrity systems that scale intelligently, safeguard privacy, and solve real problems
- C++
- Swift
- TypeScript
- Python
- Java
- Kotlin
- Go
- Elixir
- PHP
- Rust
- OCaml
- Objective-C
- C#
- C++
- Swift
- TypeScript
- Python
- Java
- Kotlin
- Go
- Elixir
- PHP
- Rust
- OCaml
- Objective-C
- C#
About Me
Rooted in software engineering, machine learning and quantitative finance, my work spans distributed systems, privacy-preserving AI, and native iOS development. From secure messaging apps and federated learning frameworks to algorithmic trading engines and real-time data pipelines, I specialize in designing end-to-end systems that are both performant and principled.
My engineering is deeply influenced by product thinking, shaped by hands-on experience and formal training in product management, design thinking, and data-driven iteration. I don’t just build systems; I build with context, clarity, and the user in mind.
Skills & Certifications
An overview of the technologies, domains, and certifications that define my engineering practice.
Programming Languages
- C++
- Swift
- Python
- OCaml
- Rust
- Go
- Objective-C
- C#
- Elixir
- TypeScript
- JavaScript
- Kotlin
- Java
- Ruby
- Perl
Quantitative Finance
- Time Series Analysis
- Statistical Arbitrage
- Algorithmic Trading
- Risk Modeling
- Backtesting
- Volatility Analysis
- Factor Modeling
- Portfolio Optimization
- Derivatives & Options Pricing
- Market Microstructure
- Execution Strategies (VWAP, TWAP)
Mathematics/Statistics
- Stochastic Processes
- Econometrics
- Monte Carlo Simulation
- Correlation Analysis
- Regression Models
- Probability Theory
- Linear Algebra
- Bayesian Inference
- Time Series Modeling
- Dimensionality Reduction (e.g., PCA)
- Numerical Optimization
AI & Machine Learning
- TensorFlow
- PyTorch
- Deep Learning
- Statistical Learning
- Time Series Forecasting
- Neural Networks
- Computer Vision
- Federated Learning/Differential Privacy
- Model Deployment (CoreML, FastAPI)
- Model Optimization & Quantization
- Self-Supervised Learning
- AI/ML
Infrastructure, Cloud & APIs
- AWS
- GCP
- Kubernetes
- Docker
- CI/CD
- Terraform
- Git/GitHub
- SQL
- PostgreSQL
- DynamoDB
- MongoDB
- Rest APIs
Mobile Development
- UIKit
- SwiftUI
- CocoaPods
- Xcode
- Android Studio
- Flutter
Certifications
- AI/ML & Cloud: AI Programming with Python, AWS Machine Learning Fundamentals, IBM Accelerate - Hardware Developer Track, AWS Certified Cloud Practitioner, Google Cloud - LLMS, Firebase, ML, Serverless, Cloud Fundamentals
- Product Management: Product Management - Launching Your Product, Digital Adoption, Introduction to Design Thinking, Product Analytics, Building a Product from Scratch, Product-Led Growth, AI for Product Management, Radical Product Thinking: Vision Setting, Product Discovery, Product Design, Rapid Prototyping, A/B Testing for Business Analysts, App Monetization