Sahar Ujan

• Devised and deployed predictive models using machine learning algorithms to drive business decisions, such as a churn detection model to aid the customer success team in identifying and addressing potential churn risks
• Responsible for investigating and troubleshooting complex technical issues through the following tools:
  - Parsing and interpreting logs within Google Cloud Platform infrastructure
  - Using commands from APIs documentation to investigate and resolve issues associated with integrated third-party APIs such as Lightspeed, Shopify, and Quickbooks
• Mentored junior members of the team on best practices in issue resolution techniques.
• Documented faults and bugs for referral to development staff for use in updates.
• Collaborated with cross-functional teams to develop solutions for recurring technical problems.
• Contributed to sales efforts by providing pre-sales technical consultations, and addressing prospective client concerns regarding product functionality and compatibility.
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• Developed tailored presentations and demonstrations showcasing the capabilities and benefits of the company's AI and image-processing solutions
• Conducted in-depth technical consultations with prospective clients to understand their AI, computer vision, and image processing needs and requirements
• As an AI scientist, collaborated closely with the R&D team to develop an AI-based video conferencing application focused on visual speaker tracking and whiteboard/text detection functionalities
• Served as a Quality Assurance (QA) specialist, responsible for testing SDKs/APIs across diverse scenarios to guarantee optimal performance. I also conducted optical assessments, including TV line measurements, to evaluate the quality of camera lens designs. Additionally, I managed the verification of RB5 Demo kits connected to these lenses to ensure their proper functionality
• Managed the RFP/RFI response process, ensuring timely delivery of accurate and comprehensive proposals to prospective clients.
• Conducted market research to identify trends and opportunities for product development or improvement.
• Evaluated competitors'' offerings to identify areas where company products could excel or needed enhancements.
• Wrote detailed technical documentation for company products.

- Project 1: Radio Frequency Interference (RFI) detection and characterization using AI techniques

• Conducted research to advance state-of-the-art in satellite communication systems using novel AI-based solutions such as transfer learning
• Wrote research papers, reports, reviews, and summaries regarding AI-based techniques for the RFIs detection and characterization in real-time satellite communication systems.
• Presented findings of the research at an international AI conference hosted in Valencia in 2019.
• Proven experience in data mining, encompassing the entire process from data acquisition and pre-processing to model optimization

Project 2: Real-time indoor object detection & characterization based on Deep-Learning techniques

• Performed image annotation processes to create a custom dataset.
• Evaluated various deep learning frameworks and libraries for optimal implementation in object detection and tracking, ensuring maximum compatibility and performance.
• Deployed an object detection model based onYolo-4, utilized for real-time object tracking and 3D map reconstruction project.
• Conducted camera calibration to accurately convert pixel coordinates into real-world coordinates, facilitating precise depth estimation
• Furthermore, I developed and implemented deep learning-based models for face detection and matching
• Extensive experience in programming languages such as Python, MATLAB
• Experience with version control systems like Git for managing project repositories and collaboration.

• Conducted research on advanced image enhancement algorithms
• Developed and implemented image processing algorithms to address compressive-sensing technique based image enhancement using MATLAB
• Contributed to the publication of research article in an IEEE conference, showcasing my research findings in image enhancement.