I build production software for financial and data-intensive systems. My core expertise centers on three domains:

✅ Financial Markets: Production trading engines, options pricing, spread construction, and automated quantitative algorithms.

✅ Financial Infrastructure: Double-entry ledgers, cross-border payments, tokenomics, and global settlement engines.

✅ Data Modeling: Domain schemas, H3 geospatial indexing, macroeconomic anomaly pipelines, and authoritative state.

I am brought in by CTOs and engineering leaders to own, architect, and deliver discrete, high-stakes core subsystems from the ground up—turning abstract business rules into audit-ready production code.

Systems Delivery Flow:

Value Flows  →  Data Models  →  Algorithms  →  Services  →  Invariants  →  Integrations  →  Interfaces

I establish data models and financial invariants first, codify them into backend services, and integrate frontend interfaces or internal tooling as required.

K SOLUTIONS - B2B CONTRACTS
London, UK

Founder · Software Engineer & Systems Architect 

September 2018 – Present

Independent engineering practice delivering production software, core backend engines, and subsystem architecture across financial, trading, and data engagements.

Proprietary Trading Systems & Execution Engines

✅ Equities & Commodities Execution Engine — Architected an execution backend integrating Interactive Brokers APIs; optimized database queries and execution paths to support automated order routing across $25M+ in daily transaction volume, replacing slow broker UIs with automated workflows.

✅ Crypto Proprietary Trading Backend — Built an end-to-end trading backend processing $5M+ in daily volume across Kraken and Binance, utilizing WebSockets for real-time market data streaming and automated algorithmic execution.

✅ Options, Spreads & Hedging Engine — Engineered backend services for multi-leg strategy execution (spreads, straddles, collars), portfolio Greeks aggregation, dynamic beta-hedging, and live mark-to-market P/L tracking.

Algorithmic Strategy & Workflow Integration

✅ Quantitative Strategy Codification — Codified mathematical trading rules (ATR, bid/ask spread dynamics, CVD, price/volume dynamics, open interest) out of manual spreadsheets into production-ready execution algorithms across equities, commodities, and digital assets.

✅ Real-Time Risk & Trader Tooling — Built position-sizing models, exposure tools, and custom React/Vite dashboards connected to execution backends, moving traders off manual tracking sheets into unified operational interfaces.

Financial Infrastructure, Ledgers & Payment Systems

✅ Double-Entry Accounting & Ledger Engine — Engineered authoritative, double-entry financial transaction ledgers supporting 500k–1M daily transactions; enforced strict financial invariants using atomic state changes, historical immutability, derived balances, and compensating corrections.

✅ Payments, Multi-Currency & Tokenization Architecture — Engineered cross-border payment processing, multi-currency checkout systems, and prepaid token economics; built automated settlement, payout, and reconciliation workflows with deterministic event resolution.

✅ Global Settlement, Affiliate & Attribution Infrastructure — Designed multi-party settlement systems for offer redemptions, affiliate payouts, signed redirects, and deterministic cross-company transaction attribution across distributed commerce platforms.

Data Engineering, Macro Analysis & Geospatial Modeling

✅ Macroeconomic Anomaly Detection Engine — Architected data ingestion pipelines consuming institutional economic data (St. Louis Fed, central banks); codified IQR and standard-deviation statistical models to extract compact decision signals from large-scale macroeconomic datasets.

✅ H3 Discovery & Attribution Architecture — Engineered an O2O commerce data engine using Uber’s H3 hexagonal indexing for spatial proximity discovery, paired with deterministic attribution algorithms, signed redirects, and real-time event generation.

✅ High-Throughput Data Streaming Pipelines — Built Python-based data ingestion pipelines automating data cleansing, market feed transformation, regression modeling, and risk reporting workflows for hedge fund and desk operations.

PRADAS INT — HEDGE FUND

Copenhagen, Denmark

Financial Analyst · Quantitative & Financial Systems 

July 2016 – September 2018

Combined quantitative analysis, financial modeling, and technical data tooling to build analytical models and reporting workflows covering macroeconomic analysis, ATR, regression analysis, options, spreads, hedging, pricing, and capital deployment.

Used Python to organize, transform, and prepare market data for downstream proprietary trading systems, translating analytical requirements into practical models and decision-support tools.

B.ENG - ELECTRICAL AND ELECTRONIC ENGINEERING

January 2012 – June 2015

University Of East London, London, UK

MATLAB · C++ · Electrical Grids · PLCs · Circuit Design · Semiconductors · Control Systems · Signal Processing

M.SC - INTERNATIONAL BUSINESS & INVESTMENT

September 2015 – June 2016

University Of East London, London, UK

Investment Banking · Macroeconomics · Financial Markets · Corporate Finance · Cross-Border Financing · Investment Analysis · Risk Management · Portfolio Management

DIPLOMA - BUSINESS ACCOUNTING

January 2024 – June 2025

Algonquin College, Ottawa, Canada

Financial Accounting · Double-Entry Accounting · Financial Statements · General Ledger · Bank Reconciliation · Taxation

✅ Audit-Ready Infrastructure & Compliance Engineering — Architected software environments and security postures to satisfy ISO 27001, SOC 2, and Cyber Essentials Plus controls; conducted technical gap assessments and built automated evidence-gathering pipelines for enterprise buyer audits.

✅ Enterprise Security Invariants & Threat Mitigation — Engineered defense-in-depth architectures featuring fine-grained RBAC, secret isolation, rate-limiting, HMAC-signed webhooks, replay protection, and least-privilege database access across high-stakes financial workflows.

✅ Programmatic Privacy & Regulatory Governance — Codified GDPR, UK DPA, and financial governance rules directly into database state transitions using automated retention schedules, programmatic consent state tracking, and data pseudonymization.

✅ Security Governance & Risk Advisory — Advised executive stakeholders on enterprise vendor risk and technical security strategy; designed technical controls to successfully pass banking, healthcare, manufacturing, aerospace, and institutional security questionnaires.

✅ Full-Stack Web & Mobile Interfaces — Built React (Vite) web platforms, React Native mobile apps, and operational dashboards connected to WebSocket pipelines for real-time market data visualization and execution control.

✅ Multi-Tenant SaaS & Third-Party API Architecture — Architected multi-tenant SaaS backends and complex API integration systems; handled OAuth authentication workflows, bi-directional data synchronization, rate limiting, and failure recovery across external platform APIs.

✅ Deployment Infrastructure & DevOps — Engineered containerized builds (Docker) and Azure CI/CD deployment pipelines that reduced release cycles by ~60%; established structured logging, health monitoring, and automated test suites to maintain 99.9% uptime.

✅ Engineering Force Multiplication & AI Stress-Testing — Upskilled client engineering teams on reproducible database modeling, rapid UI prototyping, and flowchart-driven domain analysis; established an AI-assisted (Copilot/LLM) adversarial testing protocol to catch edge cases in complex financial business logic before production deployment.