Neil R

Leading Atlassian’s Agentic AI/ML-powered analytics platform, building scalable data and ML systems as durable data products across Product, Sales, Finance, and GTM.

Drove company-wide Single Source of Truth (SSOT) for revenue metrics (ARR, MRR, NRR), reducing reconciliation overhead by 50–60% while improving trust and auditability. Architected high-throughput batch and streaming pipelines on Dat

Worked as Senior Software Engineering Manager at Sony.

🚀 Led Grid Modernization (GMS) — standardized Neptune Gremlin APIs to unify data access and enable downstream integrations, driving adoption across multiple utility customers and ensuring scalable developer experience.

⚡ Transformed customer onboarding — streamlined schema complexity, timezone handling, error visibility, and API familiarity, cutting onboarding cycle time by 40%, boosting CSAT/NPS

🔎 3D Geometric Search & SaaS Innovation — Led engineering efforts across computational geometry, 3D geometric search, and AI/ML-powered ingestion pipelines to make 3D models discoverable, comparable, and usable at scale. Built multimodal ML capabilities: 2D image → 3D search, text → 3D geometry search, and classification models trained on 5000+ CAD parts (nuts, sprockets, L-brackets, threaded part

Worked as Engineering Leader at Salesforce.

🧑‍💻 Technical Leadership – Led application development for the Disciplined Equity Quant Team, partnering with portfolio managers, PhDs, and research analysts to design and scale investment applications driving $11B in quantitative equity portfolio construction.

📊 Quantitative Portfolio Optimization – Built and enhanced the ACQUIP Quant Platform for analytics and visualization of Signals, Model Fo

📊 Regulatory Liaison & Risk Governance — Partnered with Regulators, Risk Managers, LOBs, Quant Analysts, Reporting & Data Management teams to implement U.S. Basel II Market Risk Amendment (MRA) NPR requirements, ensuring compliance, transparency, and audit readiness.

🎯 Backtesting Strategy & Implementation — Defined requirements, scope, and roadmap for granular Backtesting of P&L vs VaR across Re

⚡ Global Risk Consolidation – Developed and enhanced the Global Risk Consolidator Application, enabling real-time aggregation of risk across global Prop and EVT desks, regions, and asset classes, with zero downtime to support a global trader base.

📊 Equity Derivatives Risk Management – Delivered critical enhancements for eCanine, a front-office equity derivatives risk platform providing real-time

📊 Risk Data Integration – Designed and developed Prelud interfaces & workflows to load diverse trade feeds (Canada’s GMI Equity, NCI Bond DVP, Equities & Bonds Clearing, Listed Futures & Options, FX, OPICS, Kiodex OTC Commodities) into the Yolus Risk System, generating Fimatrix Extracts for advanced risk analysis.

🗄️ Data Migration & Decommissioning – Created tables, triggers, stored procedures,

🔐 Single Sign-On (SSO) Integration – Migrated Java applications to SiteMinder 5.x Java Agent API, enabling secure authentication & authorization. Built common services libraries in Core Java to standardize SSO functionality.

⚡ Performance Optimization – Tuned Auditing Applications & TIBCO EMS messaging, resolving critical JMS connection leaks and improving system stability.

🕒 Real-Time Monitorin

📝 Requirements & Design – Collaborated on requirements gathering, use case analysis, and functional flow design; created wireframes, activity, and class diagrams.

⚙️ Core Java Libraries – Built reusable service libraries for publishing Analyst Keywords, retrieving Analyst Coverage Groups, managing active/inactive Quantum Keywords, keyword search, and ticker detail retrieval.

🔗 SOA & Integration

📊 UML & Design Modeling – Designed and prepared activity, sequence, class, and use case diagrams using Rational Rose & Visio to capture system requirements and workflows.

🧩 Reusable Components – Built OTP RUC (Reusable Component Library) and Unsolicited Message System (UMS) services in Core Java, enabling non-browser application launch and message handling.

🔄 Real-Time Messaging – Developed UMS

Mar 2022