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Schedule Interview NowMy name is Mel D. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Penetration Testing, Cybersecurity Tool, Cybersecurity Management, System Security, Cybersecurity Monitoring, etc.. I hold a degree in Master of Science (MS), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: 3-Day External Web App & Network Pentest, Red Mallory – Adversarial Compliance GPT, AI‑Augmented Red Teaming with Agno Agent Framework, OWASP Top 10 Compliance Validation for Kyva Web Platform, Security Assessment & Penetration Testing - USAQ QHS Lab, etc.. I am based in Riga, Latvia. I've successfully completed 14 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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Red Threat Cyber Security
Mii Health engaged our team for a rapid, hands-on security assessment of their public web application and network. Over an intensive 3-day window, Mel led manual and automated tests against OWASP Top
Designed and implemented “Red Mallory,” a custom GPT that simulates real-world prompt injection, schema poisoning, and logic-flaw exploits against compliance assistants. Built a multi-agent RAG pipeli
The Agno AI Agent is an innovative solution designed to enhance the security and alignment of Large Language Models (LLMs) by leveraging Retrieval-Augmented Generation (RAG) to generate prompt injecti
Performed targeted security assessment of Kyva’s web endpoints to verify enforcement of authorization and access controls. Leveraging Burp Suite, Nmap, and ffuf, we simulated IDOR and privilege‑escala
Executed penetration testing for QHS Labs, focusing on server and application security assessments. Identified vulnerabilities through controlled attack simulations, ensuring compliance with industry
Master of Science (MS) in Systems engineering
2013-01-01-2016-01-01
Bachelor of Engineering (BEng) in
2009-01-01-2012-01-01