# Adam Cui

> Software Engineer @ Fargo Wealth | SDE Intern @ Ellis | M.S. @ USC

Location: San Francisco, California, United States
Profile: https://flows.cv/adamcui

I’m a Software Engineer with 2 years of experience building AI-enabled and full-stack systems across fintech compliance and SaaS platforms. At Fargo Wealth, I develop and scale compliance and AI agent solutions using Python, FastAPI, Redis, Kafka, MongoDB, and AWS. Previously at Ellis.so, I built outreach platforms with React, Next.js, and Supabase, integrating LLMs to automate customer engagement and improve campaign performance.

Outside of work, I’ve built systems such as a cloud-native GoPaaS platform with Go, Kubernetes, and gRPC, and a distributed key-value store with Java and Raft — projects that strengthened my ability to apply complex system design concepts to real engineering challenges.

I’m motivated by the challenge of turning complex problems into systems that people rely on every day. I enjoy the process of learning through collaboration and turning ideas into production-ready solutions.

## Work Experience
### Software Engineer @ Fargo Wealth Group
Jan 2025 – Present | San Francisco Bay Area
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

### Software Engineer @ Ellis.so (LA32)
Jan 2024 – Jan 2025 | San Francisco Bay Area
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

### Business Analyst @ Clean Safety, Inc
Jan 2022 – Jan 2024 | 2235 E Francis St, Ontario CA 91761
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

### Financial Analyst @ AIH LABORATORY
Jan 2022 – Jan 2022 | 2556 W Woodland Dr, Anaheim, CA 92801
Supported financial reporting and analysis using Excel, SQL, and QuickBooks, focusing on reconciliation, data accuracy, and automated reporting.

### Graduate Market Access Consultant @ Kite Pharma
Jan 2022 – Jan 2022 | Santa Monica, California, United States
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.

### Undergraduate Research Assistant @ University of Iowa
Jan 2018 – Jan 2019 | Iowa City, Iowa Area
Conducted valuation analysis on 22 enterprises across 11 industries using DCF models, analyzing historic 10-K filings, stock data, and financial ratios to generate 5-year projections. Built a research platform (uipenta.com) to publish reports with interactive statistical visualizations. Utilized Bloomberg Terminal, SQL, Excel/VBA, and Tableau for financial modeling and data visualization, while applying early machine learning methods (regression, random forest, clustering, LSTM for financial text) to explore predictive modeling and sentiment analysis in financial datasets.


## Education
### Master's degree
University of Southern California

### Web Development Bootcamp
Fullstack Academy

### Bachelor of Finance in Business
University of Iowa

### Tianjin 7th high school


## Contact & Social
- LinkedIn: https://linkedin.com/in/pengcui001

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Source: https://flows.cv/adamcui
JSON Resume: https://flows.cv/adamcui/resume.json
Last updated: 2026-04-10