Ing. Naseeb Grewal

• Query Search Engine using RESTful HTTP API, Docker, and NLP TF-IDF Model • Developed an efficient search engine that handles queries. • Incorporated an NLP TF-IDF model to improve search accuracy and relevant query suggestions. • Successfully implemented an intuitive UI that enables users to input text and obtain multiple related queries. • Developed an RNNs model that can analyze the sentiment of a movie review • Achieved 85% Test Accuracy on a dataset of 25k IMDB Movie Reviews

• Tasked with creating model architecture, building models, and process pipelines for Generative AI use cases. • Built many chatbots powered by organization’s data using MS Power Platforms, Azure Cloud & Langchain • Worked on CI/ CD pipeline along with other developers Important tasks -- Generative AI Architecture Conversational AI Development AI-Powered API designing DevOps for AI Code Quality Review CI/CD Pipeline development AI Collaboration Facilitator

• Using AWS EC2 and Lambda functions, SageMaker optimized machine learning model deployment through MS PowerApps, leading to 30% faster deployment process and increased team productivity. • Using AWS ECS & Fargate enhanced client data analysis capabilities by 25% through collaboration with data scientists to develop machine learning pipelines, and algorithms, in improving model scalability.

• Improved flight ticket purchase predictions by 15% by constructing a Machine Learning model, leading to more costeffective travel for the users, and assisted in 3 more ML research projects. • Spam Email Detection using Machine Learning & Neural Networks • Published 1st Research paper: Email Spam Detection using Machine Learning & Feature Optimization Method • Evaluated and compared results of Neural Networks, Naive Bayes’, KNN, Decision Tree, Logistic Regression

• Performed ETL on large customer data, Enhanced data inspection and visualization by developing Python codes using Anaconda, resulting in a 30% reduction in data analysis time and improving project efficiency. • Utilized SQL queries and Excel to identify data patterns, leading to a 20% reduction in operational costs and improved efficiency. • Worked on three projects that required the collaboration of different dept. (Business Dept., IT Dept.). • Goals achieved with results better than expected.

• Collaboratively worked on improving IIT Roorkee’s homepage and it’s functionality. • Learned Implementation of Java, C++ and python languages with Data Structures and Algorithms.