Preyas Joshi
AI/ML Intern @ AutoStore™
United States
Atlanta
Computer Software
Design Team Coordination, Telemetry, Xcode, Augmented Reality (AR), SwiftUI, Swift (Programming Language), Project Planning, Machining, Physics, Lesson Planning, Retrieval-Augmented Generation (RAG), Computer Vision, Vector Databases, Word Embeddings, End User Research, Robotics, Self Learning, Strategic Planning, Data Analysis, Statistical Modeling
Experience

AI/ML Intern
Validated and trained MLflow models to analyze port and robot behavior, detect abnormal system performance, and inform customer decisions, while supporting core teams with AI/ML implementation and integration of Langfuse LLM prompt management and testing.

Software Development Intern
Oslo, Norway
Analyzed over 2 TB of operating log data using Databricks and developed Scikit-Learn models to detect and predict bin and robot activity. Optimized robot behavior to achieve a efficiency boost and visualized product demand trends to support data-driven decisions across installations

Undergraduate Researcher
Atlanta, Georgia, United States
Engineered a YOLOv8 model with 95% accuracy to automate PPE detection, deploying it via Raspberry Pi to provide real-time safety alerts and reduce manual oversight. Developed a RAG-based chatbot using Pinecone and Vercel that streamlined technical support, successfully cutting user project completion times by around 20%.

Undergraduate Teaching Assistant
Atlanta, Georgia, United States
Reinforced the understanding of 50+ students by leading weekly problem-solving sessions and guiding both physical and coding lab experiments that connected theoretical principles to real-world applications. Provided individualized support during labs to address questions and troubleshoot experimental challenges.

Software R&D Intern
Peachtree Corners, Georgia, United States
Prototyped an application integrating Siemens’ IoT smart home product suite, showcasing full device connectivity and real-time management through AWS API Gateway and Lambda. Implemented SQL queries to retrieve energy insights from Timestream Database, integrated EV charger control for optimized energy use, and developed an Alexa Skill for voice-enabled device control and consumption insights while collaborating closely with product managers to align deliverables with project goals.

Lead Design Engineer
Led the development and CAD of two consecutive robots that qualified for the world championship, while also contributing to the development of automated game piece manipulation, real-time path planning, and onboard vision processing. Helped implement real-time path generation and automated game piece manipulation, while also leading rapid repairs during competitions and mentoring members in CAD, 3D printing, soldering, and manufacturing machinery. Served on the organization’s officer board during a period of growth from 8 to over 40 members and contributed to multiple engineering and innovation award wins, including the Autonomous Award, Innovation in Control Award, Excellence in Engineering Award, and Industrial Design Award.
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