Full-Stack Software Engineer | JavaScript • Python • DevOps

I build scalable, secure web applications with a strong backend focus, cloud deployment experience, and security-aware system design.

• Full-Stack Software Engineer (ALX / Holberton Certified)
• Backend-focused with strong REST API and authentication experience
• Hands-on experience deploying and maintaining applications on AWS EC2
• Security-oriented mindset with foundational knowledge in web security and ethical hacking
• Background as an Adult ICU Registered Nurse, bringing reliability and precision to engineering work

Full-Stack Job Application Automation System

• Multi-API job sourcing and normalization
• AI-assisted CV parsing and tailored cover-letter generation
• JWT-secured REST API with role-based access
• React + TypeScript frontend with scalable architecture

Tech: Node.js, TypeScript, React, MongoDB, OpenAI API
Repo: https://github.com/telmon95/JobSeeker

MERN Real Estate Platform

• Secure authentication and protected routes
• Cloud-based image uploads and optimization
• Scalable MongoDB data models

Tech: MongoDB, Express, React, Node.js
Repo: https://github.com/telmon95/Cheaper-Houses-Nearby

AI-Powered Bug Bounty & Security Research Tool

• MCP-based server for structured vulnerability analysis
• Integrates CVE intelligence with LLM-assisted reasoning
• Automated API behavior analysis for vulnerability discovery
• Modular design for security research and bug bounty automation
• Containerized MCP server using Docker for reproducible security research environments

Tech: Node.js, JavaScript, LLMs, Security Research, MCP
Repo: https://github.com/telmon95/VulneraMCP

• Web and API vulnerability research
• Bug bounty tooling and automation
• AI-assisted security analysis
• CVE research and threat modeling
• API abuse-case detection
• Secure authentication and authorization design
• DevSecOps fundamentals
• Linux server hardening and production reliability

• LLM integration for security workflows
• Prompt engineering for structured analysis
• AI-assisted CVE classification and risk scoring
• Retrieval-Augmented Generation (RAG) concepts
• Tool-driven and agent-style AI workflows
• Structured outputs and schema-based LLM responses
• AI hallucination risk mitigation
• Security risks in AI systems (prompt injection, data leakage)

• GitHub: https://github.com/telmon95
• LinkedIn: https://linkedin.com/in/telmon-maluleka-9a0699146
• Twitter: https://twitter.com/DEOXYRIBOSE404
• Email: telmonm@gmail.com
• WhatsApp: +27 69 111 9555

Always building. Always learning.