> whoami

Mevis Lobo
Second Semester Student
AI Systems & Developer Tooling Enthusiast

Focus Areas:
- Local AI systems
- Terminal-native workflows
- Cybersecurity fundamentals
- Linux and infrastructure
- Automation and scripting
- Workspace intelligence

I enjoy building systems that feel practical, fast, and deeply integrated with developer workflows.

Most of my projects revolve around:

• local-first AI
• terminal applications
• semantic search
• developer tooling
• automation
• understanding how systems work internally

• Building ASK.AI — a terminal-native AI developer workstation
• Learning more about local LLM orchestration
• Exploring semantic search and workspace intelligence
• Linux scripting and networking fundamentals
• TryHackMe labs and CTF challenges
• Improving developer tooling workflows

Local-first AI developer workstation powered by Ollama.

• Fully offline AI workflows
• Multi-model support
• Semantic workspace search
• Local memory and persistence
• Streaming responses
• Syntax-highlighted terminal rendering
• Git integration
• File and codebase analysis
• Plugin architecture
• Workspace-aware AI interactions
• Workstation-style terminal UI

Python-based billing and analytics system featuring:

• Tkinter GUI
• GST calculations
• CSV-based storage
• Analytics dashboard
• Modular architecture

OSINT
Linux Internals
Networking Fundamentals
CTF Challenges
Secure Coding
Automation
Infrastructure
AI-Assisted Workflows

~/workspace
├── ask-ai/
├── local-llm-experiments/
├── terminal-tools/
├── networking-notes/
└── cybersecurity-labs/

Build practical systems, improve developer workflows, understand software deeply, and explore the intersection of:

• AI
• security
• infrastructure
• terminal tooling
• local-first systems