At Wenda, I acquired extensive experience in extracting information from various data types, including PDFs, scanned and handwritten images, and emails. My primary focus was on deploying AI solutions to automate processes in logistics and supply chain systems, resulting in significant improvements in efficiency and accuracy.- Deployed and fine-tuned advanced machine learning models for tasks such as token classification, visual question answering, image classification, tabular data extraction, and clustering.- Engaged in the development of sophisticated models using Large Language Models like Mistral and LLaMA2, fine-tuning them to enhance information extraction from emails. Additionally, implemented RAG and PEFT techniques to optimize model performance and adaptability.- Leveraged Google Cloud Platform (GCP) tools, including Vertex AI and Vision OCR, to enhance AI model deployment and document processing capabilities.- Deployed NLP models, including GPT, BERT, RoBERTa, and spaCy, to analyze and extract valuable information from a high volume of client emails, driving insights and improving operational efficiency.- Led the creation and maintenance of databases, utilizing annotation tools and OCR technologies such as Tesseract and Google Cloud Platform (GCP), ensuring efficient data collection and robust database management.

During my internship there, I designed and implemented an Android application to streamline administrative communications for employers and managers in the Department of Civil Engineering, enhancing operational efficiency.

As a member of Android team, I participated in developing of a comprehensive application fortourism in Iran, named "Justro" including hotels, restaurants, tourist attractions and flights.

php, javascript, html, css, jquery, c#