Preetham Reddy Yerragudi

Summer 2026

• Developing a weather-aware supply chain optimization model by training predictive machine learning algorithms on historical data using Python and Vertex AI, and integrating external weather APIs to reduce crop spoilage • Automating delivery disruption forecasting by building ETL pipelines using Apache Spark, and integrating weather and logistics data in GCP, enabling real-time alerts

- Engineered custom CI/CD pipes for pull request validation, post-deployment automated testing, and Data Vault integrity checks using Python, YAML, Bash, and Azure DevOps

L’SPACE Acadmey Fellow • Led a 10-student team in designing an autonomous tethered drone-rover system, combining continuous power supply with scientific instruments and advanced terrain analysis to enhance the Ingenuity Helicopter's capabilities • Orchestrated research with six subject matter experts, co-authoring a 30-page NASA engineering proposal

- Designing a scalable backend with Node.js, Express.js, and PostgreSQL to process and store resumes, extract structured data, run AI-based similarity comparisons, and serve candidate rankings through a RESTful API - Enhancing job-resume matching accuracy by integrating OpenAI’s text embeddings with a cosine similarity ranking algorithm to improve hiring efficiency for recruiters

- Developed an advanced pedestrian avoidance system by implementing a Support Vector Machine (SVM) classifier with Histogram of Oriented Gradients (HOG) feature vectors - Enhanced detection accuracy through post-processing techniques, including Non-Max Suppression and Hard Negative Mining, to optimize performance in real-world scenarios - Collaborated with 4 teammates and Professor Edward Delp, PHD to document and present our findings at Purdue’s Undergraduate Research Conference

- Working with a team of researchers to build a social robot for older Japanese and American adults with dementia that reconnects them with their Ikagi, a Japanese term for passion or spark. - Developing a machine learning model for precise end-of-utterance detection, utilizing advanced computer vision techniques and temporal sequence analysis as a member of the Computer Vision subteam. - Utilized Python and Premier Pro to help synchronize and annotate large datasets for training the ML model.

- Engineered a path planning and trajectory execution system using odometry, motion profiling, and computer vision. This allowed the robot to autonomously navigate complex routes accurately, resulting in a top 15 ranking for average autonomous scores in the state for the 2024 season. -Leveraged feedforward control and PID loops to achieve highly accurate movements of the robotic arm, ensuring precise and consistent task execution during autonomous and manual operations.

Currently developing: Goalie - a simple IOS game for kids, Renegade - a futuristic first person hack-and-slash with an enticing revenge story Developed and published: Magma Rush (IOS)

- Took drive-thru orders with speed and accuracy while providing friendly service to every customer

Calc 3, Linear Algebra, and Differential Equations