At Upwork, I deliver end-to-end AI/ML solutions for governance-sensitive and data-intensive client work, adding output validation layers to make results auditable and reduce model errors.
At Techstack, I owned client engagements from discovery through deployment as the sole ML engineer. I built evaluation and monitoring into deployments with test sets, RAGAS scoring, regression checks, and latency benchmarks.
On NEXUS AI, I combined hybrid retrieval, a Neo4j knowledge graph, and XGBoost ESG forecasting in a LangGraph agent. SHAP attribution and audit logging helped address compliance requirements.
I also designed LEXINTEL as a four-pass M&A due diligence pipeline, and built ASPIRE to cross-check generated ESG figures against source data. Earlier, at Accenture and Concentrix, I handled high-volume client operations and maintained strong QA results.
