As an Artificial Intelligence Engineer at RadicalX, I am leveraging technologies such such as OpenAI, Vertex AI and TensorFlow to develop ReX, an AI Coach who serves as a steadfast career companion for learners, offering personalized coaching, mentorship, and support throughout the various phases of their career lifecycle.

Streamlined department hardware/software inventory management with SQL, advanced Excel tools (Pivot Tables, Macros, VLOOKUP, VBA), achieving a 20% efficiency boost and $70,000 cost savings through data-driven processes, KPIs and optimized workflows.

Managed Client Services, Active Directory, 1.5 PT research data backups/permissions, Cyber attack protection & provided remote assistance.

Crafted data-driven ServiceNow reports & Excel dashboards to monitor employee performance metrics & ticket resolution SLAs.

Tracked tickets using ServiceNow, ensuring timely updates and resolutions, reducing the backlog by 19%.

Developed a systematic data collection process for lab inventory management, leading in cost saving.

Bridged knowledge gaps through targeted training, leading improvement in team productivity and 13% reduction in tickets.

Program - Master of Science in Business Analytics | Course - Unsupervised and Unstructured Machine Learning

• Empowered 200+ students to dissect real-world data challenges through dynamic presentations, exams, and personalized guidance.

• Crafted syllabus on ethical AI, deep learning, and applied text analytics for critical thinking and real-world proficiency.

• Assisted in organizing and facilitating the final presentations, contributing to the assessment of students' understanding and application of course concepts.

• Hosted 2 guest lectures on diffusion and ethical AI empowered 200+ students to navigate evolving AI landscape responsibly.

• Collaborated with the course professor in grading responsibilities, maintaining the academic integrity and standards of the course.

• Led discussions on diverse topics, including artificial intelligence, machine learning, and text analytics, fostering a dynamic learning environment.

• Demonstrated proficiency in Python programming and machine learning concepts, guiding students in mastering essential skills for the course.

• Engaged in the assessment and evaluation of students' final examinations, contributing to the overall assessment process.

• Played a key role in the coordination of group projects, ensuring effective collaboration among students in addressing real-world applications of unstructured data analysis.