Siphiwosethu Matsebula

Computer Science student with hands-on experience building software systems, AI-driven automation tools, financial technology projects, and developer workflows. Strong interest in artificial intelligence, autonomous agents, software engineering, and systems development.

Experienced with Python-based development, APIs, data processing, automation, local AI/LLM systems, and technical problem-solving. Comfortable taking an idea from concept through architecture, implementation, debugging, and iteration.

Currently focused on developing practical AI systems capable of interacting with computers, executing tasks, gathering resources, and operating through terminal-based workflows.

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Specialized in:

• Computer Science
• Software Development
• Artificial Intelligence
• Programming
• Computer Systems
• Data & Algorithms

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TECHNICAL PROJECTS

Cinero - AI Gold Trading Analysis System

Python · APIs · Financial Data · Technical Analysis · AI

Developed an AI-assisted XAU/USD analysis system designed to analyze gold markets across multiple timeframes.

• Built a Python-based backend for market-data processing and signal generation.
• Integrated external financial APIs for historical and real-time market data.
• Designed multi-timeframe analysis across 1-minute, 5-minute, 1-hour, 4-hour, and daily charts.
• Implemented technical indicators including RSI, EMA, MACD, volume, and volatility.
• Developed confidence-based Buy/Sell/Hold signal generation.
• Implemented historical backtesting and equity-curve analysis.
• Designed logging systems for signals and trading analysis.
• Explored AI-generated explanations for trading signals.
• Planned real-time notifications and conflict detection between timeframes.

Nova - Autonomous AI Computer Agent

Local LLMs · Python · Terminal Automation · AI Agents

Designed an autonomous AI system intended to act as a practical computer operator rather than simply a conversational assistant.

• Designed an architecture allowing an AI agent to execute tasks within a controlled computer environment.
• Explored local and offline LLM deployment.
• Investigated models including Qwen, Gemma, and other small-to-medium language models.
• Designed terminal-based task execution workflows.
• Developed concepts for resource discovery, planning, execution, verification, and recovery.
• Designed an approval-oriented workflow where the agent produces an implementation plan before performing significant tasks.
• Explored computer interaction as an AI "hands and arms" layer capable of operating software and files.

Solana Wallet Monitoring System

Go · Solana · APIs · Blockchain Data

Developed a monitoring concept for tracking Solana wallets and identifying relevant on-chain activity.

• Built a Go-based monitoring architecture.
• Integrated blockchain and market-data APIs.
• Explored wallet activity tracking and automated monitoring.
• Integrated external market information through services such as Dexscreener.
• Designed the system for continuous background monitoring.

WhatsApp Business Automation

APIs · Automation · SaaS · Business Systems

Worked on an automation platform concept for businesses using WhatsApp.

• Explored automated customer communication workflows.
• Designed business-oriented chatbot functionality.
• Worked with Meta Business infrastructure and account configuration.
• Investigated practical deployment requirements for a SaaS-style automation product.

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TECHNICAL SKILLS

Programming: Python, Go, SQL
AI/ML: LLMs, local LLM deployment, AI agents, prompt engineering, AI-assisted automation
Software: Git, APIs, terminal environments, PyCharm, Windows/Linux development environments
Data: Financial APIs, market data, JSON, CSV, data processing
Automation: Task automation, API integration, notification systems, workflow automation
Systems: Local AI infrastructure, computer automation, environment configuration, debugging

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ADDITIONAL EXPERIENCE

Google Workspace & Business Administration

• Worked with Google Workspace administration and user management.
• Configured business email accounts and aliases.
• Designed operational email structures for functions including bookings and support.
• Tested routing and delivery workflows between aliases and operational inboxes.
• Considered organizational access and role separation within Workspace environments.

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AREAS OF INTEREST

• Artificial Intelligence
• Autonomous AI Agents
• Software Engineering
• Machine Learning
• Computer Systems
• Automation
• Financial Technology
• Blockchain Technology
• Developer Tools
• Local / Offline AI
• Cybersecurity & Systems

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SELECTED STRENGTHS

• Systems thinking - approaches projects as complete systems