☁️ Platform Engineer | 🤖 MLOps & Distributed Systems | ⚙️ Infrastructure Architect

🎓 MSc Student at University of the West of Scotland | 🌐 MLOps at Asaphic

• 🏗️ asm-wf-platform: Building an enterprise-grade workflow orchestration platform for testing ML at scale.
• 🧠 Restima / FlowAudit: Developing a predictive resource estimation framework using Python AST parsing to predict CPU/Memory usage.
• 🎧 SepACap: Building a custom adaptation of the SepReformer model for SATB audio separation.

• 🐹 Systems Programming: Transitioning from Python/Bash to Go (Golang) and Rust for native, memory-safe tooling.
• 🐧 OS Internals: Deconstructing Linux primitives (cgroups, namespaces, file descriptors) to deeply understand containerization.
• 🕸️ Distributed Consensus: Studying Raft/Paxos algorithms to master fault-tolerant distributed systems.

• ✅ Now → Mastering Go, Linux OS Internals, and eliminating "glue code."
• 🔜 Next → Writing custom Kubernetes Operators natively in Go & building custom load balancers.
• 🎯 Future → Architecting ultra-low latency infrastructure for High-Frequency Trading (HFT) and advanced AIOps platforms.

• Cloud & IaC (AWS/Terraform): █████████░ 90%
• CI/CD & Automation: █████████░ 85%
• SRE & Distributed Systems: ████████░░ 80%
• Self-service Orchestration: ████████░░ 75%
• Python & MLOps: ████████░░ 75%
• Go & Systems Native Coding: ████░░░░░░ 40% (Currently aggressively upskilling)

• 🏦 FinTech SRE: Designing zero-trust, fault-tolerant infrastructure for Layer-1 financial blockchains.
• 🚀 Platform Engineering: Reducing cognitive load for developers through automated internal platforms.
• 🐛 Deep Debugging: Why your ML orchestrator can't find its dataset (Hint: check how Python's glob parses literal square brackets!).

⚡ Fun fact: I believe "correctness is not enough." True engineering is knowing exactly how your system degrades, fractures, and recovers under real-world stress.