- 👨💻 Senior Software Engineer focused on High-Scale Distributed Systems.
- 🎓 Lifelong Learner with executive education from Harvard and MIT CSAIL.
- 🌱 Currently deep-diving into Artificial Intelligence, Deep Learning, and Computer Vision.
- 🔭 Working on building resilient, cloud-native architectures using Java, Kotlin, Go, and Python.
I build systems that solve complex distributed problems. Here are two distinct architectural implementations:
Domain: Quantitative Finance & Time-Series Analysis
A production-grade pipeline handling the complete lifecycle of financial data processing, strictly enforcing time-series validation rigor.
| Architecture | Tech Stack |
|---|---|
| Hexagonal (Ports & Adapters) | Python, Pandas, Scikit-Learn (Logistic Regression) |
| Cloud Native | Docker, Kubernetes (Helm), Terraform (AWS/Azure) |
| Engineering Rigor | Ruff (Lint), Mypy (Types), Pytest (Coverage), CI/CD |
Domain: Microservices Consistency & High-Throughput Transactional Systems
A robust implementation of distributed transaction patterns to ensure eventual consistency across multiple services.
| Architecture | Tech Stack |
|---|---|
| Distributed Patterns | Saga (Orchestration), Event Sourcing, Circuit Breaker, Transactional Outbox |
| Core Stack | Java, Spring Boot, Apache Kafka, Spring Cloud Sleuth (Tracing) |
| Data Persistence | MongoDB (Read/Write Models), Zipkin (Observability) |
