ML & Data Engineer with 5+ years building production-grade pipelines, deploying predictive models, and turning messy data into decisions — across fraud detection, supply chain analytics, and real-time systems.
// about me
My background bridges two domains most people pick one of — data engineering and supply chain operations. I bring both together.
Building real-time fraud detection platforms, deploying XGBoost classifiers into streaming pipelines, and engineering scalable data infrastructure at DXC Technologies and Dell. I ship models to production — not just notebooks.
3+ years managing procurement operations, building inventory dashboards in SAP MM and Excel, and designing demand forecasting models that drove $120K+ in supply chain savings at Panther Motocorp and Cyient.
M.S. Data Science from UMBC (GPA 3.88). Built CNNs, NLP pipelines, reinforcement learning agents, and statistical models across a wide range of domains. Strong quantitative foundation meets engineering execution.
// work experience
5+ years across ML engineering, supply chain operations, and data analytics.
// technical skills
Spanning ML engineering, data infrastructure, supply chain systems, and analytics.
// projects
Production systems, academic research, and everything in between.
// education
Open to ML engineering, data engineering, and supply chain analytics roles. Based in Maryland — open to relocation and remote.