Rahul Reddy

About Rahul Reddy

Hey there! I am Rahul Reddy, a dynamic Machine Learning enthusiast with a Master\'s in Computer Science from the University of Texas at Dallas.My journey is marked by hands-on experiences, including the development of a Meter Board reader with a stellar 78% prediction accuracy during my tenure as a Machine Learning Intern at Coral Innovations. Embarking on a journey from a profound fascination for analytical challenges to pursuing a Bachelor\'s in Information Technology at the esteemed Indian Institute of Information Technology, Allahabad. Throughout my undergraduate studies, I\'ve cultivated a strong foundation in core subjects such as Data Structures, Object-oriented Programming, Operating Systems, and Database Management Systems. 🧩 All of us face challenges while moving from one phase to another. Our ability to confront such challenges in the workspace is largely determined by our attitudes towards these challenges. I am a person who has always had a profound passion and fascination for areas requiring an analytical approach. Elevating my academic journey, I pursued a Master of Science in Computer Science at the University of Texas at Dallas. Specializing in cutting-edge technologies, I immersed myself in courses that expanded my knowledge and honed my skills, including Statistical Methods for Data Science, Machine Learning, Computer Vision, Big Data Analytics, Design and Analysis of Algorithms, Web Programming Languages, and Database Design. These comprehensive courses not only solidified my expertise but also fueled my passion for creating innovative solutions in the dynamic realm of computer science. My diverse project portfolio spans a spectrum of applications, showcasing expertise in safety prediction, real-time face detection, text summarization, and semantic segmentation of satellite imagery. Notably, I\'ve delved into the realm of web development through projects like my personal portfolio website and a fully functional grocery store website. These experiences underscore my adaptability, emphasizing proficiency not only in machine learning technologies like YOLOv5, TensorFlow, and PyTorch but also in crafting interactive and user-friendly web solutions.#datascience #machinelearning #python #AI #AWS #developer #opentowork

Experience

1. Ai Engineer

   Goldman Sachs

   Jan 2024 — Present · Dallas, TX, US

   Designed and deployed end-to-end ML and agentic RAG pipelines on AWS SageMaker for scalable experimentation and retraining.• Built automated model training and scoring pipelines using Apache Airflow, reducing manual execution effort by 40% and enhancing data quality processes.• Developed CI/CD workflows with AWS CodePipeline and Docker for automated model deployment to SageMaker Endpoints, ensuring model risk governance.• Implemented hybrid search architecture (BM25 + vector embeddings) on OpenSearch, improving retrieval precision by 35% for enhanced business insights.• Built Lambda-based monitoring solutions for inference drift detection and data validation dashboards, cutting detection time by 50% and supporting model risk management.• Implemented data validation pipelines using Great Expectations for schema checks, and distribution drift detection before training, ensuring high data quality.• Containerized ML services and deployed on AWS (ECR, EC2) to ensure reproducible builds and environment consistency, supporting model risk management.• Integrated MLflow for experiment tracking, model versioning, and hyperparameter management to support reproducibility and model validation.• Exposed inference pipelines via REST APIs (FastAPI) to enable scalable internal analytics applications, driving business insights.• Optimized Spark-based feature engineering pipelines, reducing preprocessing runtime by 30% and improving efficiency.• Collaborated with cross-functional stakeholders to translate business requirements into scalable ML system designs, demonstrating effective communication.• Conducted model performance audits and retraining analysis to maintain SLA adherence and regulatory compliance, supporting model risk management

Education

• Indian Institute Of Information Technology Allahabad

  Bachelor of Technology - BTech, Information Technology

  2018 — 2022

• The University of Texas at Dallas

  Master's degree, Computer Science