04 — Experience

Work

From Visa AIMS incident automation to NASA wind tunnels and CERN neutrino detection — production systems at scale.

Visa

Current

May 2026 — Present · Austin, TX

—Building Active Incident Management System (AIMS) from greenfield — autonomous L2 incident orchestration replacing manual escalation with proprietary routing logic and ML-based triage on production Visa datalake telemetry
—Designing high-throughput ingestion and enrichment pipelines over massive financial datalake volumes — synthesizing autonomous knowledge graphs, remediation playbooks, and root-cause inference paths for incident response automation
—Implementing production-grade stream processing with datalake access for real-time incident enrichment, anomaly correlation, and closed-loop remediation workflows across payment infrastructure

TypeScriptPythonML PipelinesDatalakeStream ProcessingIncident Automation

Oct 2025 — Jan 2026 · Ann Arbor, MI

—Developed core Lifecycle Management workflows for mining fleet analytics using TypeScript, Next.js, Prisma, and tRPC with tenant-isolation middleware and scalable data filtering
—Implemented RAG-powered LLM information fetching for fleet analytics with granular RBAC permission layers across multi-tenant deployments
—Optimized API queries and React dashboard visualizations, reducing redundant network calls and improving dashboard response latency

TypeScriptNext.jstRPCPrismaRAGRBAC

Jun 2024 — Dec 2024 · Ann Arbor, MI

—Processed 10+ years of Ulysses spacecraft telemetry (MATLAB, R, XML, Tecplot) and integrated results with 3D MHD simulation models
—Developed automated data-cleaning and correlation pipelines identifying novel solar wind pattern structures for space weather modeling
—Produced reproducible research workflows using LaTeX-based reporting and simulation visualization tooling

MATLABRTecplotMHD SimulationSpace Weather

Sep 2023 — Jul 2024 · Remote

—Implemented ML-based noise reduction algorithms in C++ for neutrino event detection, improving classification accuracy by 28%
—Built automated calibration and data validation tooling for muon detectors processing 100GB+ daily datasets
—Optimized high-volume distributed data pipelines for performance and numerical stability in scientific computing environments

C++Machine LearningDistributed SystemsIceCube

Jun 2024 — Sep 2024 · Princeton, NJ

—Implemented Background-Oriented Schlieren (BOS) imaging algorithms in Python/MATLAB with PyTorch ML models improving turbulence visualization accuracy by 35%
—Built embedded control system (Arduino + backend logging) for artificial wavefront generation experiments processing 10,000+ frame sequences
—Co-authored 2 peer-reviewed publications and filed provisional patent for aerospace flow visualization technology

PythonMATLABPyTorchOpenCVArduinoBOS Imaging

Mar 2023 — Aug 2024 · Remote + Dearborn, MI

—Engineered simulation + control software for 1:10 scale wind tunnel system; integrated PCB design, CAD, and CFD pipelines improving biomimetic airfoil lift-to-drag ratio by 18%
—Built Python aerodynamic data processing pipeline (NumPy, OpenCV, Pandas, Matplotlib) for PIV turbulence analysis; generated ML-ready datasets for model training and validation
—Authored 3 technical reports (featured in AREN 2023 Annual Report) and presented findings to 200+ researchers at NASA GLOBE Symposium

PythonC++MATLABOpenCVCFDPIVEmbedded