Anirudh Alameluvari

Anirudh Alameluvari has a diverse work experience, with a focus on research and engineering roles. Anirudh started their career as a Summer Intern at Godot Media in 2015. Anirudh then joined Goldman Sachs as an Analyst in 2017 and progressed to the roles of Senior Analyst and Associate. At Goldman Sachs, they worked in the search engineering department, where they served as a Tech Lead and managed the core architecture and deployment of the search engine.

In 2021, Anirudh joined the University of Southern California as a Research Assistant in the Adaptive Computing Experiences Lab. Here, they worked on human-aware cyber-physical systems in an autonomous driving setting. Anirudh built models to estimate human-driver state and evaluate system safety, suggesting necessary AI intervention. Anirudh also served as a Graduate Teaching Assistant for various courses like "Analysis of Algorithms" and worked as a Research Assistant in the Dynamic Robotics and Control Laboratory and the Signal Analysis and Interpretation Lab.

In 2022, Anirudh worked as an NLP Research Intern at H1, where they built crawlers to extract biomedical datasets and implemented named entity extraction in unstructured biomedical text. Anirudh also completed another NLP Research Internship at H1, achieving high accuracy results in biomedical entity linking.

In 2023, Anirudh joined Clockwork as a Software Engineer (AI) and Cadence Design Systems as a Machine Learning Engineer. At Cadence Design Systems, they set up the environment for managing and monitoring AWS instances, optimized code, and implemented quantization processes to improve image classification accuracy.

Overall, Anirudh Alameluvari has gained experience in software engineering, research, teaching, and leadership roles, with a focus on AI, NLP, and search engineering.

Anirudh Alameluvari began their education in 2013 at the Indian Institute of Technology, Madras, where they pursued a Bachelor's degree in Computer Science. Anirudh completed this program in 2017. In 2021, Anirudh enrolled in the University of Southern California, where they are currently pursuing a Master of Science - MS with Honors in Computer Science.

In addition to their formal education, Anirudh has also obtained multiple certifications. Anirudh completed courses such as "Fundamentals of Reinforcement Learning," "Prediction and Control with Function Approximation," "Sample-based Learning Methods," "Build Basic Generative Adversarial Networks (GANs)," "Deep Neural Networks with PyTorch," "Natural Language Processing with Probabilistic Models," "Hand Gesture Recognition using Tensorflow and Keras," "Activity Recognition using Python, Tensorflow and Keras," "Computer Vision - Image Basics with OpenCV and Python," "Facial Expression Classification Using Residual Neural Nets," "Introduction to NFTs: Non-fungible Tokens," "NLP: Twitter Sentiment Analysis," "Natural Language Processing with Classification and Vector Spaces," "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization," "Neural Networks and Deep Learning," "Structuring Machine Learning Projects," "Programming for Everybody (Getting Started with Python)," "Python Data Structures," "Using Databases with Python," and "Machine Learning." These certifications were obtained from institutions such as Coursera and LinkedIn, with completion dates ranging from 2021 to 2023.

Based on the provided information, it can be inferred that Anirudh Alameluvari is actively pursuing a career in the field of Computer Science and is dedicated to enhancing their knowledge in various subfields through both formal education and additional certifications.