Vahit FERYAD

I hope this message finds you well. My name is Vahit Feryad, and I am writing to express my keen interest in the position at your company, as recently advertised. With a PhD in AI/ML and extensive experience specializing in Computer Vision, Natural Language Processing (NLP), and Embedded Devices, I am enthusiastic about the opportunity to contribute to your company's pioneering work in artificial intelligence. Throughout my career, I have developed a deep interest in Generative AI (Gen-AI), integrating Computer Vision with NLP through Multi-modal Generative AI, AutoGPT methods and Neural Processing problems. My technical proficiency encompasses a broad range of tools and methodologies, which I believe align perfectly with the requirements of the role at your company: \- Profound experience with Generative AI and Large Language Models \(LLMs\)\, utilizing platforms like Google VertexAI and LangChain\. Expertise in dataset preparation, including pre-processing, augmentation, and balancing, tailored to diverse use-cases. \- Advanced skills in AI model training and optimization\, particularly in Modern Computer Vision and NLP applications\. \- Mastery in ML tools such as TensorFlow\, PyTorch\, scikit\-learn\, and experience with CV tools like OpenCV and DLib\. Below are the details of my works on scientific papers and initiatives at SMT: 1 - About Computer Vision, I developed AI models for analyzing Punch and Kick speeds in Professional Fighters League (PFL) for the SMT (SportsMEDIA Technology) US based company remotely. Here is my PFL Demo video in the following Google Drive link: https://drive.google.com/file/d/14RYbf63byBfrIr\_9N-F0B9MjdaWrGA3k/view?usp=sharing 2 - About NLP & Transformer models, my MDPI publication, In the context of smart metering, a nonintrusive load monitoring (NILM) model was designed to classify home appliances according to collected main meter data. We propose an efficient BERT-NILM tuned by new adaptive gradient descent with exponential long-term memory (Adax), using a deep learning (DL) architecture based on Bidirectional Encoder Representations from Transformers (BERT). Please find my recent publication here: https://www.mdpi.com/1996-1073/14/15/4649 3 - About Computer Vision, my Springer publication is "Efficient Object Detection Model for Edge Devices". Please find my recent publication here: https://link.springer.com/chapter/10.1007/978-3-031-50920-9\_7 4 - AI-Driven Automation: In the context of Petrol Stations use-case I worked at ASIS Automation and Fueling Systems Inc. around 5 years as a PhD AI/ML researcher at R&D department, providing world-class service in the fields of Fuel Station Automation Systems sales, installation, application, training, and service. The demo video in the link below shows my project named FuelEye, a prototype work I developed at petrol stations, the AI software package analyzes all the activities of customers in refueling when the vehicles arrive at the station, for example, reads the license plate of the vehicles, recognizes the brand, color and type (identification of customers). At the station, while the customers are refueling their vehicles, the camera tracks the nozzle and the hose connected to it, analyzes whether the nozzle is attached to the vehicle tank and sends the analysis result to the automation unit. https://drive.google.com/file/d/1mgTz5KRtDrY7CSstnVLIDQDlFBGmJgrK/view?usp=sharing FuelEye Poject AI Role Description: \- FuelEye Voice \(Speech Recognition\, Text to Speech and Speech to Text\, is an NLP task that converts audio inputs into text\) \- Automatic License Plate Recognition \- Automatic identification of customers\, Face Recognition \- Car color and brand recognition \- Fuel nozzle detection and tracking on vehicle tank and analyzes whether the nozzle is attached to the vehicle tank \- Smuggler filling detection while vehicle tank filling about vehicles fuel tank \- Detection of suspicious cases at petrol stations: AI based fire and smoke detection in the fuel station area by AI cameras I am particularly attracted to the opportunity at your company because of its commitment to driving innovation through AI and the potential to work on groundbreaking projects that leverage the latest advancements in the field. I am excited about the prospect of collaborating with cross-functional teams to deliver integrated solutions and contribute to the company's mission to transform the AI landscape. Enclosed is my resume, which provides further details about my professional background and achievements. I would be grateful for the opportunity to discuss how my experience and skills would make me a valuable addition to your company team. Thank you for considering my application. I look forward to the possibility of contributing to the exciting work at your company and hope to hear from you soon regarding the next steps. Thanks ! Kind Regards, Vahit FERYAD - PhD Çekmeköy, Istanbul - Turkey GSM: +90 535 733 1609 https://www.linkedin.com/in/vahit-feryad-19517256/