• Collaborated on neurosymbolic AI and hyperdimensional computing projects in the semiconductor industry.• Developed robust algorithms for hardware-algorithm co-design and addressed non-idealities in CiM systems.• Published research in top venues like DATE and ICCAD, driving innovation in semiconductor technologies.

• Developed a task-oriented object detection framework using LLMs with limited samples on the edge. The quantized knowledge distillation model and hardware acceleration achieve a 15% accuracy boost, 3.5x speedup, and 40% energy reduction.• Developed an HDC framework for robust AI, achieving 19.9% higher resistance to adversarial attacks than CNNs and 90% improvement against random noise in classification. Enhanced clustering on noisy FeFET-based CiM systems, outperforming k-means and BIRCH, with 0% quality loss compared to non-noisy models and reducing bit precision from 32-bit to 8-bit.• Developed advanced frameworks integrating TinyML and HDC for sensor-level data processing in healthcare, enabling intelligent data filtering, real-time region identification, and low-resolution depth estimation. Achieved 30% higher efficiency, up to 8.8× energy savings, and 10× extended battery life by reducing reliance on cloud processing and optimizing edge computation.• Led hardware-algorithm co-design for brain-inspired learning, integrating HDC with non-ideal CiM platforms. Achieved high latency reduction, improved robustness to noise, and enabled scalable AI on unreliable hardware with transparent neurosymbolic models for pre-deployment explainability.• Awarded the Balsells Fellowship for graduate research for the first two years of my PhD program.

• Redesigned course content and assignments for IoT, Brain-Inspired Computing, and Capstone courses to align with emerging technologies.• Collaborated with startups and established companies to enhance student learning experiences.

• Mentored Kookmin University students on Adversarial Attacks and Hyperdimensional Computing projects.• Guided four mentees to become PhD students in our lab.• Developed skills in mentoring, project management, and research.

• Developed "MAESTRO," an educational tool for teaching Machine Learning in adversarial attacks.• Conducted a Data Science study linking student profiles to academic probation risks for targeted interventions.

• Integrated GNU Radio with Gazebo, ROS, and CARLA simulators to enhance swarm communication and interference modeling in the DARPA DSSOC4 project.• Focused on autonomous car systems, emphasizing computer vision and software-defined radio for research excellence.• Awarded the Balsells Fellowship for outstanding contributions during a 6-month US program.

• Configured industrial software and hardware to secure OT Networks, identifying vulnerabilities for clients.• Conducted pentesting, client communication, and presentations to enhance cybersecurity measures.• Collaborated with industry leaders like Hiram Fernández and Andreu Bravo to specialize in critical infrastructure protection.

• Managed the animation team at Aparthotel Miami Park, creating engaging activities for tourists and children to enhance their experience.• Utilized English, Spanish, and occasionally Arabic to communicate effectively with guests and ensure their satisfaction.• Increased participation in activities through persuasive techniques, contributing to the growth of the enterprise.• Developed creativity, flexibility, and client treatment skills in a dynamic work environment.