Mohammed Afridi

Full Stack LLM Development Senior Analyst

• Job Details:Currently working with a major insurance client, handling financial data and ensuring high data quality for downstream processes. Actively involved in HEDIS season operations, performing data analysis and delivering clean, structured datasets to support client load processes. Developed and maintained data pipelines deployed via Docker and Kubernetes using YAML configurations. Built internal Flask-based applications to fetch and sync data from JIRA into internal databases for reporting and analysis. Utilized Python and libraries such as Pandas, NumPy, PySpark, and Flask for data processing and application development. Ensured end-to-end integration and deployment of microservices, following CI/CD best practices in a containerized environment. Actively learning and applying prompt engineering techniques to enhance LLM workflows and contribute to the development of high-quality technical documentation for internal tools and processes. Mentored and trained new team members, contributing to knowledge sharing and onboarding success.

Production Software Engineer I, Production Software Engineer II, Integration Architect

• Job Details:Analyzed backend databases for EMR and EHR systems to identify and resolve root cause issues. Ensured consistent uptime and smooth performance of Cerner domains to deliver seamless experiences for end users. Proactively monitored domain events and ops job events, taking preventive actions to mitigate risks and minimize impact. Collaborated directly with end users to investigate application crashes and hang issues, providing timely resolutions. Debugged application code and performed troubleshooting using Microsoft Visual Studio. Wrote and executed PL/SQL, SQL, and CCL scripts for domain auditing, purge operations, and monitoring ops job events. Partnered with cross-functional development teams to gather user requirements and ensure proper implementation aligned with client expectations. Performed end-to-end application-level debugging and diagnostics.

Data Engineer – Product Compliance

• Job Details:Worked as a data engineer at Amazon, where I gained hands-on experience in data visualization, SQL, reporting, and Python. Developed JavaScript web scripts to automate data capture for product safety certificates and conduct product compliance checks to facilitate efficient product approval processes. Developed a keen eye for detail and honed my analytical skills, ensuring compliance with regulatory standards and contributing to overall product compliance.