AI Engineer | Agentic AI & Multi-Agent Systems Specialist | Production LLMs, RAG & MLOps
As an AI Engineer and MLOps specialist, I build and deploy production-grade Agentic AI pipelines, multi-agent frameworks, and scalable LLM architectures. Combining my experience as a former IoT Specialist at UMT and a globally ranked Top 3 Hacking Specialist on TryHackMe, I bridge the gap between secure physical telemetry, cybersecurity auditing, and autonomous AI systems.
As an AI & MLOps Engineer, I specialize in designing and deploying custom Agentic AI workflows, multi-agent frameworks, and scalable machine learning pipelines. By integrating my background as a UMT IoT Specialist with CEH cybersecurity standards, I build secure, self-orchestrating intelligent systems that bridge physical sensors, cloud databases, and autonomous reasoning loops.
Architecting secure AI systems, model guardrails, and threat-audited multi-agent pipelines.
Deploying production LLMs, LangGraph agents, RAG patterns, and robust model scaling.
A timeline of my professional work in AI automation, data systems, and IoT development.
Spearheaded the operational management and complete technological transformation of an international import/export enterprise, aligning corporate strategy with advanced software engineering to optimize the global supply chain, logistics, and financial tracking.
Completed an intensive, hands-on Artificial Intelligence Internship developing and implementing end-to-end machine learning solutions across simulated commercial data challenges.
Completed an intensive professional certification series focused on advanced data analytics, statistical modeling, and Python programming.
Gained hands-on experience in hardware-software interfacing, embedded systems design, and low-latency network communication protocols within the IoT ecosystem.
Applying robust models, scripting pipelines, and security mechanisms to secure physical and digital architectures.
Autonomous systems, agents & machine learning basic courses.
Regression analysis, data science, statistics, pandas.
Ethical hacking essentials, forensic analysis, TryHackMe.
HackRF, software-defined radio, physical sensor integration.
Interact directly with the 3D model representing the secure system core. Rotate, hover, and examine the active machine details.
Integrating software intelligence with physical telemetry. This 3D representation is built using Spline, interacting directly in response to cursor position. Move your mouse to explore the engine interface.
Bridging algorithms, radio frequency hacking, and microcontrollers to build functional, secure systems.

Classification & Retention Pipeline
Developed an end-to-end data pipeline predicting subscriber churn. Leveraged SMOTE to address class imbalance and trained optimized classifiers to locate core risk factors.

Sub-GHz Protocol Hacking Case Study
Performed remote keyless entry (RKE) replay forensics. Intercepted signals at 433.91 MHz and re-transmitted demodulated IQ frame structures via HackRF One to control vehicle locks.

Chemical-Free PCB Trace Drawer
Assembled a variable 2D plotter drawing PCB traces using conductive ink. Programmed Arduino Mega with L293D shields to translate imported G-code coordinates into motor steps.
Explore my verified academic credentials and technical certifications across AI, data science, and security.
Graduated with a Bachelor of Science in Artificial Intelligence. Specialized in deploying machine learning models, computer vision neural networks, and autonomous agent workflows.
Comprehensive training in building autonomous AI agents, multi-agent frameworks, and workflow automation.
Hands-on instruction for designing custom autonomous agents utilizing OpenAI API and Python scripting.
Creating backend API endpoints, monetization pipelines, security layers, and developer interfaces.
Full Google Professional Specialization covering regression analysis, statistical modeling, machine learning, and data insights.
Certified essentials covering vulnerability scanning, web app attacks, system penetration, and network safety.
Practical engineering to automate threat analysis, write security scripts, and analyze malware using LLMs.
Five-course specialization detailing object-oriented programming, file systems, API consumption, and computer vision libraries.
Professional capstone demonstrating business negotiation, plan generation, presentations, and team leading in English.
Certified in complete Claude Code and autonomous coding agents development for rapid software builds.
BS Degree details
Looking for a dedicated AI and Cybersecurity professional to fortify your data and innovate smart systems? Let's talk.