Served as the Subject Matter Expert (SME) and Lead Developer for Generative AI, defining the company’s internal LLM roadmap and security standards.

Architected and spearheaded the deployment of a secure, enterprise-grade ChatGPT instance, ensuring zero-leakage of proprietary data while serving thousands of internal users.

Engineered a sophisticated RAG (Retrieval-Augmented Generation) framework using LangChain and Vector Databases, drastically improving organizational knowledge discovery.

Integrated an advanced AI Agent for GSS (Global Shared Services), orchestrating seamless connectivity between Workday, ServiceNow, SAP, and other core enterprise systems to automate complex employee workflows.

Architected and implemented robust CI/CD pipelines utilizing various AWS services (CodePipeline, CodeBuild) and GitHub Actions, ensuring rapid and reliable deployment of AI microservices.

Collaborated with cross-functional leadership to identify high-impact AI opportunities, reducing manual overhead by over 30% through custom automation tools.

Developed a large-scale Cloud Automation Solution using Gatsby (React + GraphQL), following best practices for scalable frontend architecture.

Leveraged AWS Glue to automate data processing tasks, utilizing serverless architecture to optimize scalability and minimize operational overhead.

Integrated multiple third-party APIs to create a unified automation workflow, enhancing cross-departmental efficiency.

Optimized system performance by identifying and resolving critical bugs, leading to improved application stability and user experience.

Conducted advanced troubleshooting for the automation pipeline, working closely with the DevOps team to maintain high system uptime.

Led a technical team of 6 in architecting an experimental workflow using React and Flask for a specialized legal chatbot; integrated Qualtrics and MTurk to automate and streamline large-scale data collection.

Implemented rigorous project management methodologies and coding best practices, ensuring the high-fidelity delivery of research software within tight academic deadlines.

Engineered a Conversational AI agent using Google Dialogflow and Landbot to provide automated legal guidance on commercial property issues.

Utilized Natural Language Processing (NLP) techniques to optimize intent recognition and entity extraction, significantly improving chatbot accuracy and user experience.

Designed and executed scientific research projects, applying data-driven techniques to explore complex legal questions and ensuring compliance with ethical AI guidelines.

Collaborated with a 4-person engineering team to develop a one-line model training CLI, abstracting complex infrastructure for data science teams using Agile methodologies.

Architected comprehensive software validation and system testing procedures, ensuring high-fidelity delivery and strict adherence to client requirements.

Engineered an adaptive privacy layer for legacy software and optimized the AWS infrastructure, resulting in a 300% acceleration in environment provisioning and setup time.

Implemented performance-driven modifications to ensure software compliance with evolving data privacy standards while maintaining system responsiveness.

Led a team of 3 to architect a high-performance Bioinformatics web platform using Flask (Python) to visualize research on polyphenol metabolism and human health.

Integrated specialized sequence analysis tools (BLAST and HMMER) into a server-side architecture, optimizing backend logic for large-scale biological data processing.

Deployed and maintained the production environment (bcb.unl.edu/dbpup/), ensuring enterprise-grade security, cross-browser compatibility, and accessibility.

Co-authored a published research article (DOI: 10.1128/AEM.01851-21) showcasing the platform's ability to drive future computational biology research.

Supervised the full migration of laboratory infrastructure to Amazon AWS, implementing cloud-native best practices for automated backups, disaster recovery, and institutional security compliance.

Provided technical support for a user base of 20,000+ students and faculty, resolving hardware and network issues with minimal downtime.

Developed a centralized Knowledge Base and technical documentation, reducing redundant support requests and improving team resolution speed.

Facilitated the onboarding of international students, managing complex logistics to support their transition into university life.

Devised data presentation schemes for sequence analysis outputs, helping researchers visualize complex datasets.

Represented the university at professional organizational meetings, demonstrating strong leadership and cross-cultural communication skills.