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Contract-backed and applied AI systems engineer with 4+ years of experience designing and delivering production systems, real-time data pipelines and automation workflows end to end. Specialises in systems that ingest, process and act on high-frequency or unstructured data, combining reliable backend infrastructure with AI-driven components where they improve the product or operational workflow. Comfortable turning unclear product and stakeholder requirements into working architectures, balancing delivery with security, privacy and platform requirements, and staying involved through deployment, live testing, monitoring and iteration.…Contract-backed and applied AI systems engineer with 4+ years of experience designing and delivering production systems, real-time data pipelines and automation workflows end to end. Specialises in systems that ingest, process and act on high-frequency or unstructured data, combining reliable backend infrastructure with AI-driven components where they improve the product or operational workflow. Comfortable turning unclear product and stakeholder requirements into working architectures, balancing delivery with security, privacy and platform requirements, and staying involved through deployment, live testing, monitoring and iteration.

user1788333

Back-End Developer, Data Engineer, Software Engineer, +2

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Contract-backed and applied AI systems engineer with 4+ years of experience designing and delivering production systems, real-time data pipelines and automation workflows end to end. Specialises in systems that ingest, process and act on high-frequency or unstructured data, combining reliable backend infrastructure with AI-driven components where they improve the product or operational workflow. Comfortable turning unclear product and stakeholder requirements into working architectures, balancing delivery with security, privacy and platform requirements, and staying involved through deployment, live testing, monitoring and iteration.…Contract-backed and applied AI systems engineer with 4+ years of experience designing and delivering production systems, real-time data pipelines and automation workflows end to end. Specialises in systems that ingest, process and act on high-frequency or unstructured data, combining reliable backend infrastructure with AI-driven components where they improve the product or operational workflow. Comfortable turning unclear product and stakeholder requirements into working architectures, balancing delivery with security, privacy and platform requirements, and staying involved through deployment, live testing, monitoring and iteration.

Available to hire

Contract-backed and applied AI systems engineer with 4+ years of experience designing and delivering production systems, real-time data pipelines and automation workflows end to end. Specialises in systems that ingest, process and act on high-frequency or unstructured data, combining reliable backend infrastructure with AI-driven components where they improve the product or operational workflow. Comfortable turning unclear product and stakeholder requirements into working architectures, balancing delivery with security, privacy and platform requirements, and staying involved through deployment, live testing, monitoring and iteration.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Back-End & AI Product Engineer (Native iOS & Cloud-Synced Web Platform) at Lumo Systems Ltd

January 1, 2026 - Present

Developed a native Swift iOS app with cloud-synced web platform. Designed Supabase/PostgreSQL data model for user accounts, private reports and subscriptions (including saved history and cross-session comparisons). Implemented authentication, row-level security and scoped database policies to isolate private user records and enforce account-level access across mobile and web. Built schema-validated AI workflows with fixed report contracts, validation and controlled persistence to ensure model outputs could be stored, rendered consistently and compared over time. Integrated Apple-native camera and ARKit capabilities; worked through App Store feedback, updated consent/privacy disclosures/subscription messaging and ensured data-access flows met platform requirements.

Back-End Engineer (Polymarket Execution System)

November 1, 2025 - May 1, 2026

Designed and operated real-time execution services processing thousands of orders per day across live marketing ingestion, order placement, fill tracking and position monitoring. Translated trading and strategy requirements into automated system behaviour including decision logic, order-management rules and operational safeguards. Implemented robust WebSocket execution feed integration and REST endpoints with local order/position state, rate-limiting, retries with exponential backoff, reconnection logic and venue-state reconciliation to prevent duplicate or unintended execution after failures. Handled partial fills, stale market state, delayed responses and inconsistent venue data during volatile periods; delivered iterative releases with improved controls, logging, alerts and recovery paths.

Back-End & Data Engineer (Hyperliquid Trading Infrastructure)

February 1, 2025 - October 1, 2025

Built and supported synchronous ingestion for Hyperliquid full event streams, ingesting and processing millions of events per day into live automation, monitoring and downstream analytics. Architected resilient WebSocket connection/subscription lifecycle management with robust reconnection and backpressure controls to reduce data gaps during volatility and connection interruptions. Integrated market data, account state, order execution and position monitoring into live workflows for client testing. Diagnosed execution behaviour under live conditions and reconciled expected vs venue-reported state; strengthened controls around rejected orders, interrupted services and position mismatches. Converted historical JSON trade archives into partitioned Parquet datasets in S3 and DuckDB tables optimised for research, replay and high-volume analytical queries. Deployed and maintained long-running ingestion and execution services on AWS EC2 with systemd, structured logging and scheduled health ch

Back-End Engineer (0x Liquidity Aggregation Platform)

January 1, 2025 - March 1, 2025

Developed backend aggregation infrastructure around 0x APIs to source executable liquidity across supported providers and submit transactions programmatically. Implemented services to request and compare quotes in real time using price, fees, transaction parameters and expected execution outcome rather than relying on headline price alone. Collaborated with the founding team to refine routing decisions balancing execution speed, cost efficiency, liquidity depth and transaction reliability. Added handling for expired quotes, changing liquidity, rejected transactions and unstable network conditions. Structured routing layers so provider/decision rules could change without rebuilding the wider execution workflow; shipped an aggregation layer that compared supported quotes and selected executable routes automatically.

Contract Back-End & Applied AI Engineer (Lumo Systems Ltd) at Lumo Systems Ltd

January 2, 2023 - Present

Worked across real-time financial systems, backend automation, data infrastructure and applied AI. Delivered live execution and monitoring services processing thousands of orders per day, built Hyperliquid event infrastructure handling millions of events per day, and supported high-volume historical datasets for analytical workloads. Completed AI products spanning backend architecture, native iOS, secure user data handling, subscriptions and production release. Strong emphasis on fault-tolerant external integrations, live deployment, monitoring, alerting, and iterative improvements to production reliability.

Data Engineer (Event & Transaction Pipelines)

January 1, 2023 - December 1, 2024

Delivered production pipelines to ingest and decode high-frequency event and transaction data from RPC, webhooks and API sources including QuickNode and Helium. Normalised inconsistent nested JSON payloads into stable schemas used by downstream analytics, automation, monitoring and client-facing tools. Architected multi-source joins combining blockchain activity with centralised exchange APIs to create unified datasets covering transactions, balances and market context. Built synchronous ETL jobs with custom scheduling, retry, checkpointing and failure-recovery logic to handle API flakiness and network interruptions without repeatedly processing the same records. Worked with the trading team and aligned schema/payload contracts with delivery timelines across front-end and back-end components.