At Fargo Wealth, I contribute to X-banker, a KYC compliance platform that helps financial institutions automate customer due diligence and risk management. My role covers backend engineering, distributed systems, and AI orchestration, contributing to ongoing efforts that enhance system stability, improve onboarding efficiency, and expand the platform’s capacity for compliance operations at scale.

Key highlights:

Domain: KYC compliance automation (customer due diligence, risk management)

Systems: Multi-agent orchestration with LangChain, LangGraph, CrewAI; LLMs (GPT-4o, Qwen2)

Techniques: Conversational memory (Redis + InMemoryHistory), retrieval pipelines (GraphRAG, Chroma, embeddings), event-driven orchestration (Kafka)

Infrastructure: FastAPI + SocketIO microservices; Docker + AKS; AWS S3 optimization; MongoDB schema/sharding; Terraform (IaC)

Tooling: CI/CD automation; monitoring with Prometheus + ELK; frontend dashboards with React + ONNX Runtime

At Ellis, I contributed to a startup platform that helps companies with domain registration, outreach automation, and campaign analytics. My work spanned backend APIs, data pipelines, and frontend development, ensuring the system was both scalable and reliable for startup growth.

Key contributions:

Domain: Outreach automation, multi-tenant SaaS, campaign analytics

Systems: RESTful APIs with Node.js + Supabase (auth, role-based access); LLM integration (GPT-4, Claude, LLaMA)

Techniques: Event-driven pipelines (sub-100ms tracking); Redis caching + async queues

Infrastructure: Backend reliability with retries, error handling, monitoring (>99.9% uptime)

Tooling: Next.js + React dashboards for campaign insights and analytics

At Clean Safety, I worked on data analytics and reporting infrastructure, focusing on database integration, automation, and visualization to support operational efficiency and decision-making. My work combined data engineering and business analysis, reducing manual processes and improving data accuracy across teams.

Key contributions:

Domain: Analytics and reporting automation, operational efficiency, business insights

Systems: Data pipelines with BigQuery, Power BI, SQL-based ETL

Techniques: Automated sync (BigQuery ↔ Power BI); SQL queries for data integrity; inventory tracking with notifications

Infrastructure: Database integration for near real-time reporting; ETL workflows

Tooling: Power BI dashboards (staffing/productivity); cross-team collaboration on reporting metrics

Supported financial reporting and analysis using Excel, SQL, and QuickBooks, focusing on reconciliation, data accuracy, and automated reporting.

Conducted HEOR and market access research for oncology therapies, analyzing payer and competitor landscapes, reimbursement frameworks, and disease burden. Supported client-facing projects by preparing strategy materials and presentations, applying structured problem solving, business analysis, and strategic communication with clients and stakeholders to guide market entry decisions.