➢ Working remotely to enhance AI-based systems and training modules, focusing on optimization and scalability.➢ Collaborating on various freelance AI tasks to expand practical expertise and implement advanced machine learning solutions.➢ Delivering high-quality training on machine learning and AI methodologies, tailored to diverse industry needs.➢ Conducting in-depth code reviews and providing technical feedback to improve the efficiency and accuracy of AI models.➢ Mentoring peers and trainees, ensuring a solid understanding of AI principles, and fostering a collaborative learning environment.

➢ Developed an AI chatbot to handle customer inquiries, improving engagement and support efficiency.➢ Collaborated with sales and technical teams to enhance and expand FAQs for comprehensive responses.➢ Employed advanced machine learning techniques, including Retrieval-Augmented Generation (RAG) models.➢ Optimized model performance using Google Colab with BitsandBytes and 4-bit quantization.➢ Achieved an 80% accuracy rate in responding to user queries.➢ Gained experience in Python, data preprocessing, model training, and performance evaluation.

* Contributed to the GPM Data Project focusing on urban rainfall analysis and prediction.* Utilized Google Earth Engine (GEE) for data collection and preprocessing.* Developed machine learning models, including LSTM networks, for accurate rainfall prediction.* Analyzed meteorological data using Python and JavaScript.* Applied advanced geospatial analysis techniques to extract insights from satellite imagery.* Enhanced predictive accuracy through thorough exploratory data analysis (EDA).* Collaborated with experts in AI and geospatial data, fostering professional growth.* Improved urban rainfall management and decision-making processes through data-driven insights.