About
Scans, telemetry, support tickets, enterprise records. The source changes; the work doesn't. Find the structure, test it, see if it holds.
I build machine learning and intelligent systems: classification models, retrieval pipelines, and the tooling around them. The question is always the same one. Is this pattern real, or am I fooling myself?
My day job puts me inside enterprise data at scale, where records are messy, incomplete, and consequential. It taught me that analysis is only as good as the data underneath it.
Selected work
01
Production F1 race prediction platform framing finishing-order as a ranking problem, solved with XGBoost LambdaRank. Two-tower ensemble blends current-season and 5-year models, with automated FastF1/Ergast ingestion and full Railway + Vercel deployment.
02
Full-stack AI career platform analyzing 28-feature user profiles to recommend careers and predict multi-stage trajectories. Uses scikit-learn for matching, a TensorFlow transformer for sequence prediction, and SHAP for explainability.
03
Deep learning MRI classifier comparing ResNet50, InceptionV3, and EfficientNetB4 for multiclass brain tumor detection. Emphasizes model interpretability via XAI analysis, with a research paper documenting architecture trade-offs and clinical relevance.
Experience
Jan 2026 – Present
Saint Gobain INDEC
Worked on SAP SD business process testing and troubleshooting across sales orders, deliveries, billing, and intercompany scenarios, identifying configuration and master-data inconsistencies to support successful end-to-end transaction processing. Worked on analyzing output determination, pricing, and sales document flows in SAP S/4HANA, helping validate system configurations and business requirements for sales and distribution operations.
Jul 2024 – May 2025
Students' Council MPSTME Supercore
Led cross-functional student council initiatives as a member of the Supercore team, coordinating with student leaders and faculty to drive successful campus events and improve student engagement. Represented the female student community by addressing student concerns, managing welfare initiatives through Voices, and organizing awareness, leadership, and entrepreneurship-focused events.
Writing
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