Executed a comprehensive market intelligence and competitor benchmarking study evaluating 11 leading global platforms in the wealth consolidation, reporting, and family office technology space (including Addepar, QPLIX, Masttro, Altoo, Landytech, and SS&C Black Diamond).
The objective of this engagement was to synthesize macro market dynamics, map regional regulatory environments, evaluate platform architectures across bankable and non-bankable assets, and deliver an executive-level strategic roadmap for platform positioning, AI integration, and ecosystem design.
Key Deliverables & Strategic Highlights
Macro Market Intelligence & Sizing: Analyzed global software growth trajectories (projected expansion from $5.5B in 2024 to $12.1B+ by 2030 at a ~14% CAGR) along with regional breakdowns (North America, Europe, APAC) and key demand drivers like generational wealth transfer and regulatory compliance (GDPR, FinSA, SEC).
Deep-Dive Competitor Benchmarking: Evaluated 11 platforms across functionality, data ingestion models (OCR/AI statement parsing vs. custodian API feeds), asset class support (public, private equity, real estate, collectibles), and pricing structures.
SWOT & Feature Matrix: Built structured comparative visual models highlighting platform differentiators—ranging from US enterprise scale to European compliance automation and luxury-grade visual interfaces.
Strategic Recommendations: Formulated actionable strategies across five key operational pillars:
-Platform Positioning: Integration of governance and entity visualization (ORCA/Altoo style) into reporting workflows.
-UX & AI Enablement: Implementation of predictive alerts, smart anomaly detection, and natural language query interfaces.
-Geographic Target Growth: Expansion roadmaps focused on high-trust jurisdictions (Switzerland, DACH, UK) and rapid-growth APAC markets.
-Ecosystem Design: Open API architecture bridging multi-custodian data feeds directly to automated general ledger accounting.
-Monetization Architecture: Tiered, AUM-based, and modular pricing frameworks.
-Executive Data Visualization: Synthesized the multi-page analysis into a high-impact, dark-mode visual infographic layout optimized for C-suite presentation and digital showcase.
Nuvio | Personal Finance Landing Page
Nuvio is a modern personal finance landing page designed to educate users and replace financial anxiety with a sense of clarity and trust. The layout flows logically from a strong hero value proposition into visual balance tracking, transparent pricing, and real social proof, all tied together seamlessly without rigid section boundaries. By applying consistent Azure Blue tones and clear Neue Montreal typography, the design creates a calming visual environment that humanizes complex wealth management. Instead of overwhelming visitors, this clean content hierarchy builds immediate credibility and invites potential users to start their financial journey with total confidence.
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Overview:
Evooq is a high-density wealthtech intelligence platform built for portfolio managers and private financial advisors handling multi-asset portfolios.
The Challenge:
Rendering complex financial data tables with thousands of asset rows often causes severe browser lag, slow sorting, and clunky mobile rendering.
What We Built:
• Engineered an ultra-fast high-density data grid capable of rendering complex portfolio allocation trees with zero frame drops.
• Built interactive asset allocation charts and scenario stress-testing tools using custom SVG canvas components.
• Integrated sub-second currency and market data updates via live WebSocket feeds.
• Ensured complete accessibility and zero layout shift across all viewport sizes.
KiriTrades — Trading Analytics SaaS
Overview
I designed and built KiriTrades end-to-end as a full-stack trading journal and analytics platform that helps traders track trades, analyze performance, review risk, and identify patterns across multiple accounts and strategies.
Core Features
The platform includes multi-account management, trade imports, broker synchronization, detailed trade journaling, screenshots, strategy organization, rule-based reviews, CSV import/export, and advanced performance analytics.
Architecture
Frontend built with React and Vite, backed by Node.js and Express, with PostgreSQL for application data and JWT authentication. Redis and BullMQ handle asynchronous processing.
Background Processing
Background workers handle broker synchronization, CSV imports, analytics rebuilding, and screenshot processing, keeping longer-running operations outside the main request flow.
Engineering Decisions
I implemented server-side filtering and pagination for growing trade histories, account-scoped data access, authenticated APIs, and targeted analytics updates after trade synchronization.
My Role
Product design, frontend development, backend development, database architecture, integrations, background processing, and deployment — built end-to-end as an independent full-stack project.