Systems Programmer | Backend Architect | AI Systems Engineer

I design and scale backend platforms with a focus on clean architecture, industry best practices, and high-performance systems. For me, perfection is elegance, and elegance is true beauty. I strive to build systems that are not only fast and reliable, but also graceful and in design and measurable in performance.

• Systems-focused engineer (C++ / Go / distributed systems)
• Built high-concurrency servers (50k+ req/sec) & custom network protocols
• Working on AI infra, agent systems, and edge-optimized pipelines
• Focus: performance, concurrency, and fault-tolerant design

• Systems & Networking

  • C++ HTTP server from scratch → multi-threaded IO, full HTTP parsing, adaptive rate limiting, pushing ~50k+ req/sec
  • Custom UDP VPN (SOCKS5) → multiplexed transport, AEAD encryption, out-of-order handling to tunnel TCP over restrictive networks

• AI Infrastructure & Agents

  • LLM systems beyond demos → retrieval-as-policy, query routing, and evaluation pipelines
  • sqllm → agentic text-to-SQL with tool-calling loops, schema retrieval, and safe query execution
  • Local Voice Assistant (V1 → V2) → evolved into a CPU-first, turn-aware system with streaming STT → LLM → TTS and interruption-safe orchestration with 0.34 RTF.

• Applied AI & Edge Systems

  • ADAS pipeline → YOLOPv2 + MPC-based control, optimized via OpenVINO for real-time edge deployment
  • Focus on optimizing models and control loops for constrained hardware

• Backend & Distributed Systems

  • P2P chat over Kademlia DHT → fully distributed matchmaking
  • AES-encrypted MinIO storage → Google-Drive-like system in Go
  • Real-time messaging platform → Redis-backed WebSocket scaling

• Tools & Experiments

  • Typeflow → visual, type-safe workflow engine (React Flow + DAG compiler + SSE execution)
  • Exploring AI-native programming paradigms through visual + OOP abstractions

C++, Go, Python, TypeScript
Distributed Systems, Networking, Multithreading
ONNX, TensorRT, OpenVINO, LLM Agent Pipelines

I enjoy the challenge of scaling complex systems into production with elegance, while still diving into low-level internals out of curiosity.

I care deeply about writing code that is not just correct, but readable, structured, and intentional — where good abstraction makes systems feel almost like reading English.
To me, clean separation and clarity are not just aesthetics, but what make systems easier to reason about, extend, and even automate.

My interest in AI comes from a similar place: giving systems a sense of memory and continuity, and moving beyond stateless interactions toward something more persistent and contextual.

When I’m not coding, I’m usually exploring system design ideas, refining how I think about code structure, or unwinding with some anime.

If perfection is sin, I am a sinner — gladly.