Farzana Zaki
Design
Delaware, United States
Skills
Data Science
About
Farzana Rahmat Zaki's skills align with IT R&D Professionals (Information and Communication Technology). Farzana Rahmat Zaki has 7 years of work experience.
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Work Experience
Large Language Model
January 2024 - Present
- Developed a Generative AI application using a Large Language Model (Llama 2 13B chat GGUF model) to automate the classification and processing of support tickets. The application predicted ticket categories, assigned priority, suggested estimated resolution times, and generated responses based on sentiment analysis of the customer ticket texts, ensuring the smooth management of tickets, and improving the overall experience for both customers and support staff.
Postdoctoral Research Associate
Beckman Institute, University of Illinois Urbana-Champaign
August 2019 - December 2022
- Led a multidisciplinary team of nine researchers in conducting experiments and performing advanced data analysis on medical imaging datasets (bacterial biofilm), from identifying the problem to implementing solutions. Utilized supervised machine learning algorithms to classify bacterial biofilms, resulting in significant optimizations. Crafted reports and presentations to translate complex findings into accessible formats tailored for both scientific and non-technical audiences.
Research Assistant / Teaching Assistant
New Jersey Institute of Technology
September 2015 - May 2019
- Engineered a dual-modality optical coherence tomography (OCT) system to distinguish between cancerous and normal breast tissues in biological samples, such as breast and brain tissue. Applied image denoising algorithms to analyze data, reducing noise in OCT images to enhance image quality and improve tissue sample visualization.
Education
MIT
Ph.D. in Electrical Engineering
New Jersey Institute of Technology
Master of Science in Electrical & Electronic Engineering
