- C++
- Swift
- TypeScript
- Python
- Java
- Kotlin
- Go
- Elixir
- PHP
- Rust
- OCaml
- Objective-C
- C#
Selected Work
Four systems across privacy, iOS, quantitative finance, and applied AI. Each one is shipped, live, and built end to end.
Weather and mood intelligence for iOS. Log how you feel using six weather-themed moods and surface the correlations between your inner climate and the conditions outside. It features Live Activities for lock screen logging, home screen widgets, an Apple Watch companion, severe weather alerts via push, and shareable monthly and yearly Climate Reports. Mood data stays on device by default with no account required.
AI-powered fact-checking platform and browser extension that verifies online claims with trusted sources and real-time citations. Highlight any text on the web to receive an evidence-backed verdict, source transparency, and confidence scoring through a streaming AI pipeline with intelligent quality control.
About Me
Rooted in computer science, mathematics, and product thinking, my work spans distributed systems, privacy-preserving AI, quantitative finance, 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.
What drives me isn’t just technology; it’s turning complex problems into simple, elegant tools that empower people.
I’m always excited to hear about bold ideas, ventures in motion, and real-world problems worth solving.
I love open source and believe deeply in the power of shared knowledge. I also write to explore the ideas that move me. You can find my thoughts on Substack and Medium
Skills & Certifications
An overview of the technologies, domains, and certifications that define my engineering practice.
Skills
Programming Languages
- OCaml
- Swift
- C++
- Rust
- Python
- TypeScript
- Go
- Elixir
Quantitative Finance
- Algorithmic Trading
- Market Microstructure
- Execution Strategies (VWAP, TWAP)
- Statistical Arbitrage
- Time Series Analysis
- Risk Modeling
- Backtesting
- Volatility Analysis
- Factor Modeling
- Portfolio Optimization
- Derivatives & Options Pricing
Mathematics/
- Stochastic Processes
- Probability Theory
- Linear Algebra
- Econometrics
- Monte Carlo Simulation
- Bayesian Inference
- Regression Models
- Correlation Analysis
- Dimensionality Reduction (e.g., PCA)
- Numerical Optimization
AI & Machine Learning
- Computer Vision
- Federated Learning/Differential Privacy
- Model Deployment (CoreML, FastAPI)
- Deep Learning
- Neural Networks
- PyTorch
- TensorFlow
- Time Series Forecasting
- Statistical Learning
- Self-Supervised Learning
- Model Optimization & Quantization
- AI/ML
Infrastructure, Cloud & APIs
- Kubernetes
- Docker
- PostgreSQL
- AWS
- GCP
- CI/CD
- Terraform
- Git/GitHub
- SQL
- DynamoDB
- MongoDB
- REST APIs
Mobile Development
- SwiftUI
- UIKit
- Xcode
- CocoaPods
- Android Studio
- Flutter
Certifications
AI/
- Certified Cloud Practitioner AWS
- Machine Learning Fundamentals AWS
- LLMs Google Cloud
- Accelerate: Hardware Developer Track IBM
- AI Programming with Python Udacity
- Technical AI Safety BlueDot Impact
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