▸ Current Focus: Engineering AI-integrated workflows and automated backend pipelines.
▸ Cloud & Infrastructure: Building scalable microservices, containerized deployment systems, and background job queues with Docker, AWS (ECS, S3, EC2), and BullMQ.
Detailed Breakdown of Skills
| Category | Technologies |
|---|---|
| Languages | Python, Go, JavaScript (ES6+), TypeScript, C++, SQL, Bash |
| Frontend & Web | Next.js, React.js, Tailwind CSS, WebRTC, Astro, WebSockets |
| Backend & APIs | Node.js, Express.js, Go (Fiber, Gin), FastAPI, REST APIs, GraphQL, Microservices, BullMQ |
| Databases & Cache | PostgreSQL, MongoDB, MySQL, Redis, Memcached, SQLite, Supabase |
| Cloud & DevOps | AWS (ECS, S3, EC2, Lambda), GCP, DigitalOcean, Docker, NGINX, GitHub Actions, CI/CD |
| AI & Workflows | OpenAI APIs / Function Calling, LangChain, RAG Systems, Vector Embeddings / Ollama |
▸ High-Performance RPCs: Designing type-safe, bidirectional microservice communication using gRPC and Protocol Buffers.
▸ Event-Driven & Real-Time Streaming: Architecting scalable event pipelines with Kafka, NATS, WebSockets, and WebRTC streaming.
▸ Distributed Systems & Consensus: Exploring consensus models (Raft), write-ahead logging (WAL), distributed caching patterns, and fault-tolerant replication.
▸ Systems Performance: Low-level networking primitives, connection multiplexing, and kernel-level observability (eBPF).