Systems & Compilers · Cybersecurity · Artificial Intelligence & Machine Learning · Blockchain & Distributed Systems
| Domain | Focus Areas |
|---|---|
| Blockchain & Distributed Systems | Layer-1 architecture, Ethereum & EVM internals, execution layer mechanics, consensus design (PoS), mempool architecture, Merkle trees, state transition systems, P2P networking, transaction propagation, smart contracts (Solidity), cryptographic primitives, high-performance blockchain clients in Rust |
| Systems Engineering | Systems programming in Rust and C, memory-safe architectures, lock-free and concurrent system design, performance engineering, Linux internals, networking stack optimization, high-performance dataplanes (XDP, AF_XDP, DPDK), zero-copy systems, kernel–userspace boundaries |
| Compilers & Language Design | Parser and lexer implementation, IR design, static analysis, deterministic execution models, reproducible numerics, language tooling, bytecode & VM design, ahead-of-time (AOT) and JIT compilation strategies |
| Cybersecurity | Exploit development fundamentals, reverse engineering, secure systems design, network security engineering (firewalls, IDS/IPS), deep packet inspection (DPI), protocol analysis (TCP/IP, TLS), adversarial simulation, defensive infrastructure architecture |
| Artificial Intelligence & Machine Learning | ML systems engineering, statistical computing infrastructure, reproducible ML pipelines, security-oriented AI systems, performance-aware model deployment, distributed training systems, applied AI in threat detection & anomaly detection |
- Aegis – High-performance Rust firewall and IDS
- Lattice Programming Language – Reproducible scientific computing language
- Moonlight – Modular Rust security orchestration framework
- DevOps Scripts Library – Production-grade infrastructure automation toolkit
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