Trading Platform Engineer at Instant Funding

• Trading Infrastructure Setup: Co-implemented the back-office architecture for IF Crypto, configuring trading accounts, groups, bridge connections, and liquidity links across MetaTrader 5, MatchTrader, and cTrader to enable live crypto-asset trading and account funding operations. • OHLCV Data ETL Pipeline for Retail Trading Platforms: Built and maintained an ETL pipeline for 1- minute candlestick data across 450+ instruments (40GB+ total). Retrieved data via exchange interfaces using Pandas for smaller/reference datasets, PyArrow for file I/O, and Polars for CRUD on medium to large datasets, boosting speed by >95% (from est. 2880+ mins to <50 mins) with Jupyter demonstrations for team oversight. This pipeline transformed and loaded data into 3 trading platforms (cTrader, MatchTrader, MetaTrader 5) enabling 1k+ unique instrument configurations. • MT5 Trading Infra Access Recovery & Scaling: Led cross-region incident response and remediation across MetaTrader 5 trade, access, and backup servers, resolving a critical memory-exhaustion issue by coordinating capacity upgrades, while auditing and restoring secure access for other trading ops specialists (3 in total) through a centralised credential state store to stabilise operations and prevent recurrence. • Instrument Configuration Automation (Python): Achieved a 240x procedure improvement by building a Python library to generate instrument configurations across multiple trading platforms (MetaTrader 5, cTrader, Match-Trader) and a bridge system (Centroid). Implemented base instrument class with polymorphic behaviour to enable the quick and consistent onboarding of 1,000+ instruments (cryptos, commodities, FX, perp. futures, etc.), reducing manual effort + shortcuts by ~99.6% (from 4+ hours to <1 minute). • Stakeholder & Trading Platforms Lead: Represented the firm in engagements with stakeholders and C-level executives on trading and bridge platform integrations, architecture upgrades, and incident resolution; coordinated with a liquidity provider to support platform setup and connectivity; and served as the in-house trading platform authority for all departments (Customer Support, Compliance, Engineering, Marketing, etc.) across a ~50-person firm, leading onboarding, supporting on-site and remote teams, resolving platform issues, and escalating complex cases to vendor support.

Accounts & Funds Operations Lead at Instant Funding

End-to-end risk and financial enforcement workflows, processing payouts for 600+ clients under margin thresholds, and leading dispute and chargeback processes across Stripe and Checkout (200+ cases resolved; £15k retained; 6 arbitration wins worth $7k). Implemented RAG and intent engineering for AI-powered support platforms, conducted structured UAT/regression testing, and established governance to improve reliability and auditability. Supported cross-team operations and governance across Support, Compliance, and Engineering; managed 7K+ client accounts and 5,000+ trading accounts.

AI Automation Engineer at Instant Funding

Led the end-to-end SDLC for Voiceflow, Zendesk AI, Crisp, and Essel AI, delivering chat and email automation for customer support operations. Owned architecture, evaluation, deployment, optimization, and decommissioning across multiple platforms. Designed and implemented RAG pipelines in Voiceflow by defining intents, entities, and synonyms, cleaning and restructuring support policy documents, and enforcing guardrails to ensure policy-compliant model outputs. Built knowledge ingestion and curation components, validated 200+ Q&A pairs in Crisp, refactored 15K+ Zendesk tickets, and crawled 500+ pages to improve retrieval accuracy. Documented the system to be intuitive and self-explanatory for future engineers, improving onboarding and handover efficiency. Facilitated cross-team collaboration with Support, Engineering, and Marketing to align tone, escalation thresholds, and reporting standards, while implementing a reliability-first workflow that combines rule-based controls with LLMs for