Rishit Nagpal Email & Phone Number

Dallas-Fort Worth Metroplex

New York, United States

United States

Led the development of a custom Microsoft Teams Bot to automate AWS tasks via Jenkins, enhancing cloud application deployment efficiency. Integrated Python with Jenkins REST API, enabling direct AWS task triggers from Teams. Developed Terraform scripts for scalable AWS infrastructure, reducing manual effort by 30%. Created Ansible roles/playbooks for Oracle patch management, cutting manual workload by 50%. Achieved a 15% reduction in cloud costs and supported a 50% increase in application demand through these automation efforts.

India

During my internship, I worked on implementing RNN and LSTM models for an image captioning software used by the company. My responsibilities included data preprocessing for natural language processing pipelines. Over the course of my internship, I handled three projects, each with a user database of 100,000. I collaborated with five cross-functional teams comprising of data scientists, software engineers, and researchers. Throughout my internship, I gained experience working on a variety of projects and collaborating with diverse teams.

Maharashtra, India

In this internship experience, I have worked on Natural Language Processing (NLP) and Naive Bayes techniques to develop classification models. These models were designed to automate and optimize business processes. Additionally, I have experience in leading a mini team of five interns, where I guided them in preprocessing and analyzing data using libraries such as NLTK and Gensim. My role involved assisting in the design and development of machine learning models to meet business requirements. Throughout these experiences, I have developed a strong skill set in NLP, machine learning, and data analysis.

Delivered Python Code Map for Beginners using Open Resources.

In this project, I implemented a pipeline for handwritten text recognition using sequential models that was based on a language-free approach. The dataset used for training the model contained over 10000 writers. My responsibilities included evaluating the performance of the model and fine-tuning the hyperparameters for optimal results. Overall, the goal of the project was to develop a robust and accurate system for recognizing handwritten text that can be applied in a wide range of scenarios.

Delhi, India

Master'S Degree, Computer Science

Bachelor Of Technology - Btech, Computer Science

Higher Secondary, 93.8%

Senior Secondary, 10.0(Cgpa)