I build backend systems that move data reliably at scale. My work sits at the intersection of event-driven architectures, data/ML pipelines, and applied LLMs — from “time-travel” CDC engines and real-time data pipelines to reasoning-focused LLM applications.
| Category | Tools & Technologies |
|---|---|
| Languages | Python, TypeScript, SQL, Rust (Exploring), Go (Exploring) |
| Backend / Systems | FastAPI, Django, Node.js, gRPC, Protobuf, Kafka, Redis Streams |
| AI / Data | LlamaIndex, Llama 3, Knowledge Graphs (AST), Pandas, Scikit-learn |
| Infrastructure | Docker, Kubernetes, CI/CD, MongoDB, PostgreSQL, Flink |
| Frontend | Next.js, React, TypeScript, Tailwind CSS |
- Data Engineering: Designing high-throughput CDC pipelines and "Time-Travel" event replay engines for seamless system migrations
- Reasoning Models: Implementing recursive latent state updates in tiny networks (TRM) to explore iterative reasoning efficiency
- Production ML: Engineering end-to-end recommendation pipelines with Kafka streaming, automated retraining, and real-time Prometheus monitoring