Computer Science β’ Systems β’ Full-stack β’ Reverse Engineering β’ Security
- π Computer Science graduate
- βοΈ Focused on performance, systems, and low-level engineering
- π Reverse engineering, runtime analysis, and security research
- 𧩠Building Minecraft plugins (Kotlin) + internal tooling
- π Developing scalable backends & distributed systems
- π Using AI + automation to accelerate workflows
- API design, distributed systems, and backend architecture
- Caching strategies, data modeling, and performance tuning
- Authentication (JWT, OAuth, sessions)
- Event-driven systems
- Message queues and async processing
- Scalable microservice communication
- React / Next.js applications
- State management and SSR patterns
- Cloud-native architectures
- Containerization and orchestration
- Infrastructure as Code (Terraform)
- Scalable deployments and CI/CD pipelines
- Reverse engineering and binary analysis
- Memory manipulation and runtime inspection
- Assembly (x86/x64)
- Debugging (WinDbg, low-level tooling)
I build systems that are measured and optimized based on real data.
- Java οΏ½οΏ½οΏ½ JVM profiling, GC tuning, allocation tracking
- C++ / C β CPU hotspots, cache optimization, memory layout
- C# β .NET profiling, async performance, GC pressure
- JS / TS β event loop, memory leaks, backend latency
Focus areas:
- Hot path optimization
- Memory efficiency
- Concurrency & threading
- Database + cache performance
- Profiling before optimizing
- Low-level program analysis and debugging
- Pattern scanning, hooking, runtime instrumentation
- Binary inspection and assembly analysis
- Identifying bugs, inefficiencies, and vulnerabilities
- White-hat mindset (bug discovery & fixing)
- FFmpeg (media pipelines)
- Protobuf / serialization systems
- High-performance data processing
- Custom tooling & automation
- AI-assisted development workflows
