Anirudh Ghildiyal Email & Phone Number

Bengaluru, Ka, In

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 create and share replicable and open-source solutions for sustainable communities of the future. It is a tool inspired by the desire for simple, scalable, and flexible project and lifestyle management.Responsibilities:• 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 cost-efficiency, and enhance availability.• 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 by 20%. • 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% and enhancing data quality validation.• 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 computation time.

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)