Led the creation and implementation of an advanced external inspection system for products using computer vision. Skilled in managing and preparing diverse data types, including image, text, time-series, and machine log data. Well-versed in utilizing Python libraries like OpenCV, Pandas, and NumPy for data processing and preparation. Developed and deployed computer vision models focused on product inspection. Worked on object detection, anomaly detection, defect detection, foreign object detection, color recognition, and safe zone delineation. Engaged in processing and analyzing image data. Customized YOLOv8 for specific use cases. Constructed user interfaces using Tkinter.

This project involves the integration of large language models (LLMs) for developing an internal chatbot and enhancing data access. It includes working with both SQL and NoSQL databases for effective data storage and querying. The project also involves utilizing the ETL (Extract, Transform, Load) process to integrate data from multiple sources, facilitating internal communication and knowledge sharing through chatbots, and enabling natural language querying of internal databases.

Developed a natural language interface to enhance SQL database querying, facilitating data retrieval using conversational language. Built automated data pipelines for seamless data ingestion, processing, and preparation, optimizing the input for machine learning models. Focused on the development and fine-tuning of language models that generate accurate SQL queries from user input.

Leveraged machine learning algorithms to predict values beyond typical machine operational capabilities, enabling proactive forecasting of both product and machinery quality. Integrated data from a wide variety of sources, including databases, log files, APIs, and on-premises data systems. Proficient in using data exchange protocols and standards such as JSON, CSV, and XML. Developed predictive models to assess product quality and machine health. Analyzed machine log data for early detection of potential issues. Implemented advanced forecasting algorithms and techniques.

Developed a Predictive Health Management (PHM) system to enhance machine maintenance and reliability. The project involved implementing data quality protocols to ensure data accuracy by addressing missing data, duplicates, and inconsistencies. Applied data cleaning techniques to elevate data quality, enabling precise forecasting for maintenance and repair schedules based on sensor data and machine log analysis.

This project involves the development of an AI-enhanced chatbot designed for analyzing product errors and identifying root causes. The chatbot leverages natural language processing to interact with users for error diagnostics and troubleshooting. Additionally, the project includes deploying machine learning models and data pipelines in production, while addressing deployment, monitoring, and maintenance challenges for smooth system operations.

Developed an AI-powered system for matching CVs with job descriptions within an HR platform. The project involved utilizing FastAPI for backend development and NoSQL MongoDB for database management.

This project involved the use of image analysis techniques to detect specific health conditions through eye scans, emphasizing the integration of AI methodologies into healthcare.

Leveraging advanced AI-powered Stable Diffusion techniques to generate innovative ideas and suggestions from existing visual assets. Utilizing AI capabilities to enhance and creatively transform existing content.

Led a team to design and implement a comprehensive inspection software capable of analyzing up to 50 different types of products. The project involved system design, documentation, and the integration of individual components to form a cohesive AI-powered inspection solution.

This project involved research and development in three key areas: fingerprint recognition for a time attendance system, object detection for an ATM anomaly recognition system, and object checking for a subway automatic entrance and exit tracking system.