Resume

Led the conversion of an internal company wiki into a vectorized knowledge base by integrating OpenAI embeddings and LangChain. Enabled fully conversational, retrieval-augmented generation (RAG) capabilities, transforming static documentation into an intelligent, queryable system that improves knowledge accessibility and team productivity.

Reduced environment configuration time from two weeks to two days by implementing Infrastructure-as-Code using Ansible and PowerShell automation scripts. Standardized deployment processes, minimized manual errors, and accelerated development and operational workflows.

Successfully enterprise EHR and billing systems from on-premises and Azure environments to AWS. Improved system scalability and reduced infrastructure costs by 25%,  while ensuring a secure and seamless migration process, maintaining data integrity and compliance requirements.

Designed and maintained CI/CD pipelines using Jenkins and Azure DevOps. Integrated REST API automation, Git repositories, and multi-environment deployment pipelines to enable continuous integration and reliable, automated delivery processes.

Began career with a strong foundation in software development, gaining hands-on experience in building applications and understanding core programming principles. This early exposure provided a deep understanding of how software systems are designed, developed, and maintained, forming the technical base for future work in systems analysis and cloud engineering.

Expanded expertise into cloud computing and DevOps methodologies, focusing on AWS and Azure ecosystems. This period emphasized hands‑on learning in automation, scalability, and secure cloud operations, laying the groundwork for enterprise‑level migrations and platform engineering.