Juan Peniel Muller

About Juan Peniel Muller

I am a dedicated Security Engineer with over 4 years of hands-on experience in cybersecurity, specializing in cloud security, secure coding practices, and risk management. My expertise lies in developing robust cryptographic solutions, implementing cloud security controls, and automating security processes to ensure data protection and compliance with industry standards. Proficient in Python and Bash scripting, I have a strong background in security automation, incident response, and penetration testing. I have worked extensively with cloud platforms such as AWS, Google Cloud, and Azure, leveraging services like IAM, CloudTrail, GuardDuty, and Security Hub to design and maintain secure infrastructures. My skills in DevSecOps enable me to integrate security into CI/CD pipelines and automate compliance checks, ensuring secure and scalable system architectures. Throughout my career, I have conducted in-depth system audits, vulnerability assessments, and penetration testing, mitigating risks and fortifying systems against threats like SQL injection, cross-site scripting (XSS), and data breaches. I have also designed and implemented encryption protocols and secure authentication mechanisms, safeguarding sensitive data and enhancing user trust. My knowledge of security frameworks such as NIST, MITRE ATT & CK, and OWASP, combined with hands-on experience with SIEM tools, ForcePoint DLP, and intrusion detection/prevention systems (IDS/IPS), allows me to excel in threat detection and mitigation. I am passionate about fostering a security-first culture by training cross-functional teams on best practices and secure coding techniques. With a Master’s degree in Cybersecurity and certifications such as CompTIA Security+ and Black Hat Python, I bring a blend of technical expertise and strategic insight to deliver innovative solutions that protect critical data and infrastructure. I am committed to driving organizational success through proactive security measures and a collaborative approach to tackling complex challenges in the evolving cybersecurity landscape. Let’s connect to discuss how I can help secure your organization’s digital assets and infrastructure!

Experience

1. Data Science Intern

   Talent Engines LLC

   Mar 2025 — Present

   Automated large-scale web data extraction using Selenium, BeautifulSoup, and various crawler frameworks, reducing manual processes and accelerating data-gathering workflows.Developed robust scripts to parse, validate, and organize scraped data into production-ready formats, improving data quality and accessibility for stakeholders. Spearheaded the creation of a custom Large Language Model (LLM) by leveraging cutting-edge transformer architectures, tailoring it to tackle proprietary business needs. Fine-tuned the LLM on domain-specific text corpora, achieving enhanced performance on internal classification and text-generation tasks. Integrated the model into existing company platforms, enabling advanced analytics and natural language processingcapabilities for end-users. Optimized automation pipelines for scalability by containerizing components in Docker and orchestrating them with Docker Compose, ensuring reproducible and reliable environments. Implemented cybersecurity best practices across data ingestion and transformation pipelines, including encryption, real-time threat detection, and secure APIs to protect sensitive information. Collaborated with cross-functional teams and cybersecurity specialists to identify and mitigate potential vulnerabilities, strengthening overall infrastructure resilience. Continually refined the LLM by incorporating feedback loops, boosting accuracy, reducing inference latency, and maintaining compliance with security and data privacy standards.

Education

• University of Alabama at Birmingham

  Master's degree

• SRM University

  Bachelor of Technology - BTech