Projects
Featured work across compilers, AI infrastructure, and systems engineering.
These engagements blend deep compiler knowledge with platform pragmatism: Swift ↔ C++ interoperability, RISC-V vectorization wins, and resilient AI systems for high-stakes domains.
Keyda AI Tutoring Platform
Production RAG pipeline serving multiple school districts with >90% retrieval accuracy
Key achievements
- Secure multi-tenant infrastructure with RBAC
- Reduced LLM failure rates by 65%
- Automated infrastructure via Terraform
DecorateAI GenAI Platform
Real-time visual processing inference pipeline with ARKit integration
Key achievements
- Reduced latency by 40% through caching
- Real-time model inference for interior design
- Systematic prompt tuning framework
RISC-V Performance Optimization
Achieved 3x performance improvement on NASA benchmark suite at SiFive
Key achievements
- Tuned vectorization cost models
- Architecture-specific optimizations
- Built CI/CD for cross-compilation
Swift-C++ Interoperability
Led interoperability initiative across Swift/Clang toolchain at Apple
Key achievements
- AST bridging and name mangling
- Coordinated Apple Silicon migration
- Open-source contributions
Interested in working together?
Let’s design architectures that hold up under real-world stakes. I partner with teams shipping compilers, AI systems, and mission-critical infrastructure.
Prefers engagements that blend performance engineering, tooling rigor, and measurable impact.