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Applied AI & Backend Engineer
Applied AI Engineer | LLMs | Agentic AI | RAG | Backend Systems
CanadaApplied AI & Backend Engineer at Lume AI
Built an MCP-based low-code orchestration platform enabling LLM agents to execute API integrations, browser automation, and custom tools with OAuth authentication, scoped permissions, and sandboxed execution. Developed an observable integration framework supporting 33+ external services with authentication, cost tracking, Dockerized deployment, production monitoring, and agent tracing.
MCPLLMAgentic AIOAuthDockerObservabilityAPI IntegrationBrowser AutomationCost TrackingMonitoringAgent Tracing
Designed a real-time Python ingestion platform integrating REST APIs, custom web scraping, validation, caching, and indexed retrieval across UK traffic, incident, and news sources, processing 1M+ real-time events weekly. Built RAG pipelines using OpenAI embeddings and FAISS, delivering semantic search with sub-3-second query latency and under-5-minute data freshness.
PythonREST APIsWeb ScrapingRAGOpenAIFaissSemantic SearchMicroservicesMulti Agent SystemsCachingExponential backoff
Designed and maintained Python- and SQL-based backend data pipelines, automating MySQL, Salesforce, and Tableau ETL workflows that reduced recurring reporting effort by 100+ hours per month. Developed scalable backend services and analytics workflows powering governed dashboards and KPI reporting for a $4M enterprise portfolio, supporting major pharmaceutical customers including Gilead and AstraZe
PythonSQLMySQLSalesforceTableauETLBackend ServicesAnalyticsXGBoostForecastingData Pipelines
Bachelor of Applied Science in Mechatronics Engineering from Ryerson University, completed in 2017.
Bachelor of Applied Science in Mechatronics Engineering from Ryerson University, completed in 2017.
Profile sourced from Himalayas.