Anirudh Ghildiyal Email & Phone Number

New York City Metropolitan Area

• The Highest Good Network application is an open-source and free-shared web-based application for collaboration, time tracking, and objective data collection. It is designed to help organizations like One Community.
• Developed and deployed a predictive scaling model using reinforcement learning with Python, PyTorch, and MySQL on GCP, optimizing resource allocation to increase resource utilization efficiency by 40%, improve.
• Designed and implemented scalable RESTful APIs using Python and Flask to streamline data synchronization for HGN One Community's time tracking application. Improved data retrieval speed by 30% and reduced server load.
• Integrated MySQL and third-party services for seamless functionality. Performed Object-Relational Mapping for login functionalities.
• Improved unit and integration test cases using PyTest and PyUnit, conducted peer code reviews, cutting development costs by 30% & improving deployment reliability by 40%.

New York, United States

• Assisted Prof. Elisha Cohen in conducting undergraduate courses, providing guidance and support to students in understanding complex concepts related to Ethics in Artificial Intelligence.
• Led weekly discussion sections and review sessions, reinforcing course material and facilitating student engagement through interactive activities and problem-solving exercises.
• Provided one-on-one tutoring and mentoring to students, addressing their questions and concerns, and offering additional guidance on assignments and projects.
• Collaborated with the professor and fellow teaching assistants to discuss instructional strategies, share best practices, and contribute to the continuous improvement of the course curriculum.

Boston, Massachusetts, United States

• Automated the continuous extraction of raw data for book movie scripts from 100+ web sources using Selenium and BeautifulSoup, significantly reducing manual effort by 8 hours per week, and pushing the data to MongoDB.
• Engineered a data processing pipeline using Python microservices with Flask, Pandas for preprocessing, and PyMongo for MongoDB integration; deployed on AWS using Docker and Kubernetes, reducing processing time by 50%.
• Optimized the movie script revenue and budget prediction model (BERT & Knowledge Graph) by leveraging data analysis and hyperparameter tuning using PySpark & PyTorch reducing the mean-squared error by 80% faster.

Dehradun, Uttarakhand, India

• Researched and designed deep learning CNN model architectures to perform image signal processing, segmentation, & quality evaluation.
• Researched transfer and self-learning for body pose detection to classify different dance forms, improving accuracy by 15%.

Master Of Science - Ms, Computer Engineering

Activities and Societies: Member/Player of the Badminton Team. Graduate Representative of the Commuter Student Council.Courses Taken.

Bachelor Of Technology - Btech, Computer Science

Activities and Societies: Sports Team (Badminton) Member or the Cultural Committee of the annual cultural fest GRAFEST

Science(Pcm With Computers)

Activities and Societies: Sports Team (Badminton)