Jordan Clifford

Engineered a hybrid travel-time prediction model leveraging Google Maps API and machine learning, enabling cross-modal comparisons of driving, biking, and transit routes across 24k+ samples. Implemented reinforcement learning algorithms to optimize mode selection by time of day and location, reducing average commuter travel time while lowering projected emissions. Published peer-reviewed paper in ICSEng 2025 and delivered research presentation at the international conference.

Undergraduate Research Assistant, NSF REU at University of Nevada, Las Vegas — Smart Cities (2025-06 – 2025-08)

• Engineered a hybrid travel-time prediction model leveraging Google Maps API and machine learning, enabling cross-modal comparisons of driving, biking, and transit routes across 24k+ samples.
• Implemented reinforcement learning algorithms to optimize mode selection by time of day and location, reducing average commuter travel time while lowering projected emissions.
• Published peer-reviewed paper in ICSEng 2025 and delivered research presentation at the international conference.

Software Engineer Intern at FOX (Broadcast Engineering) (2024-09 – 2024-11)

• Integrated Infoblox (IP address management) and NetBox (network source-of-truth) using AWS Lambda, reducing manual reconciliation by 50%.
• Built an internal LLM chatbot with Retrieval-Augmented Generation (RAG) over engineering docs, improving knowledge access and speeding up troubleshooting.

Undergraduate Research Assistant, NSF REU at University of Tennessee at Chattanooga — iCompBio (2024-05 – 2024-07)

• Performed large-scale analysis on 1,500 hypothetical proteins in pneumoniae, identifying structural motifs with potential for biomarker discovery and novel drug targets.
• Automated preprocessing pipelines in Python, accelerating protein sequence analysis workflows and enabling team members to evaluate candidates 2× faster.

Bachelor's in Computer Science (Software Engineering) – Arizona State University (2025-12)