Associate of Science - AS

Bachelor of Science - BS

• Built positive relationships with over 300 customers daily through active listening and responsive follow-up.  
• Led the onboarding and training process for 30 new hires, facilitating their quick integration into team operations.  
• Maintained a clean and organized work environment, ensuring high efficiency in a fast-paced setting.  
• Collaborated with team members to meet service demands and consistently achieve customer satisfaction.

Team Ambassador

• 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.

Software Engineer Intern

• Designed and deployed AWS Lambda integrations between Infoblox (enterprise DNS/IP address management) and NetBox (network source-of-truth system), eliminating manual reconciliation workflows and reducing inconsistencies by 40%.
• Built and iterated on an internal retrieval-augmented generation (RAG) chatbot over engineering documentation to accelerate troubleshooting and onboarding.

NSF Funded Research Project with a focus on BioInformatics

• Developed Python-based data pipelines to preprocess and filter 800+ hypothetical protein records into high-confidence biomarker candidates.
• Applied multi-stage computational screening (stability metrics, localization prediction, domain analysis) to rank and prioritize samples.
• Automated batch evaluation workflows, improving reproducibility and reducing analysis time by ~50%.

Undergraduate Research Assistant

• Engineered a hybrid travel-time prediction system integrating Google Maps API route data with supervised ML models across 24k+ multi-modal samples.
• Designed and implemented reinforcement + supervised learning experiments to optimize commuter mode selection under time-of-day and location constraints.
• Performed feature engineering and comparative evaluation to quantify travel-time improvements and projected emissions impact.
• Authored a peer-reviewed research paper for ICSEng 2025 (publication pending late 2026).

ASU Graduate looking for Software / Data / ML / AI roles

Know about Jordan Clifford's work experience, education, bootcamps, certifications, and much more. Jordan Clifford