Work Experience

• Building retrieval-backed AI applications, structured-output workflows, and evaluation pipelines focused on reliability and correctness.

• Designing API contracts, validation layers, and backend workflows for production-oriented AI systems.

• Developing RAG, tool-calling, and agent-based workflows with an emphasis on grounding, failure handling, and auditability.

• Creating evaluation datasets, quality rubrics, and verification processes to assess AI system performance and limitations.

• Building a production-grade OSINT platform focused on entity intelligence, investigation workflows, and cross-source data aggregation.

• Developing backend services, APIs, and data pipelines using Python, FastAPI, MERN, PostgreSQL, and Docker.

• Designing scalable intelligence workflows, structured outputs, and reliable data processing systems for real-world investigations.

• Collaborating on infrastructure, automation, and deployment architecture for high-availability backend services.

• Analyzed large-scale HR and recruitment datasets to uncover trends related to hiring, retention, and candidate performance.

• Built structured analyses and dashboards to translate raw data into actionable insights for stakeholders.

• Supported data-driven decision-making by identifying patterns and presenting findings in a clear, business-oriented manner.