Full Stack & Data Engineer | Backend Systems | Finance + AI Integrations

I’m a Senior Software Engineer with expertise in full stack engineering, data pipelines, accounting automation, and AI integrations.
I build scalable APIs, ACH payment systems, AI-enabled applications, and developer tooling that bridge finance, medical, agriculture and technology.

I specialize in building systems that handle complex data flows, ensure compliance/security, and deliver production-ready AI integrations.

• ACH payment workflows and reconciliation
• Automated participation payouts & reporting
• Portfolio and loan management APIs
• Accounting report generation and integrations
• Interactive dashboards for financial visibility

• REST API development (FastAPI, Flask)
• Authentication & authorization systems (JWT, RBAC)
• ETL pipelines and complex migrations (Postgres, Supabase, MySQL)
• Real-time cron-driven data automation
• High-performance scraping and ingestion

• AI-powered data retrieval and semantic search
• Multi-model inference setups (pgvector, Pinecone, cloud APIs)
• Retrieval-Augmented Generation (RAG) pipelines
• LangChain-based chatbot integrations

• Next.js + React for dashboards and portals
• Secure authentication flows
• API-first approach with backend-first architecture

• CI/CD pipelines (GitHub Actions, Cloud Build)
• AWS + DigitalOcean deployments with scaling and monitoring
• Dockerized local/staging/production parity
• Infrastructure as Code (CloudFormation, scripting)
• Compliance-first logging and observability

A backend-first system for automating ACH payments, reconciliations, and financial reporting.

Highlights

• Automated ACH file generation and correction workflows
• Cashflow management and syndication support
• Weekly reconciliation against bank/ledger data
• Dynamic accounting reports with breakdowns for principal, income, and fees
• CI/CD pipelines with blue/green deployments for reliability

A React-based financial dashboard providing visibility into ACH workflows, portfolio tracking, and reporting systems. Serves as the frontend layer for payment automation and reporting pipelines.

Highlights

• Interactive dashboard with key financial metrics
• Portfolio and transaction management with batch operations
• Scheduled payments, overrides, and fee tracking
• Contract generation and document storage
• SaaSant integration for accounting workflows
• Secure authentication, audit logs, and compliance features
• Built with React 18, Material-UI, AG Grid, Chart.js, Recharts

A large-scale chatbot system designed for navigating structured but complex plans where users need to evaluate costs, benefits, and eligibility in real-time.

Highlights

• Vector-based semantic search with hybrid metadata filters
• Real-time eligibility verification with caching and compliance middleware
• Optimized token usage and batch embeddings for cost efficiency
• PHI-safe logging and observability with performance metrics

A data engineering platform for scalable ingestion, transformation, and reporting from multiple third-party data sources.

Highlights

• Automated ingestion of millions of records via APIs and web scraping
• Real-time data normalization into Postgres/Redshift warehouses
• Cron + multiprocessing orchestration for parallelized loads
• Dashboard-ready data with aggregated sales, performance, and KPIs
• Optimized ETL jobs with 2–3x speedups via batch operations

A complex migration project transforming legacy data + APIs into a modern Supabase + FastAPI stack.

Highlights

• Data migration across 30+ related tables with strict referential integrity
• ERD re-design for query efficiency and debuggability
• High-performance RESTful APIs handling 10k+ daily requests
• Automated testing suite with ~98% coverage (cron jobs + API flows)
• Reduced production errors by ~80% through validation + async tasks

• Built ACH payment and reconciliation systems with automated reporting
• Developed APIs for financial, healthcare, and AI-driven applications
• Designed high-volume ingestion pipelines and optimized scraping frameworks
• Architected multi-model vector search and RAG pipelines
• Created CI/CD pipelines, blue/green deployments, and infra as code setups
• Built secure, compliance-ready systems for sensitive data processing

tech_stack = {
  "Languages": ["Python", "Rust", "Go", "TypeScript", "JavaScript"],
  "Backend": ["FastAPI", "Flask"],
  "Frontend": ["Next.js", "React"],
  "Databases": ["Postgres + pgvector", "MySQL", "Supabase", "MongoDB"],
  "AI/ML": ["LangChain", "GPT APIs", "Vector DBs (Pinecone, ChromaDB)", "LLM Integrations"],
  "Infra": ["AWS", "GCP", "DigitalOcean"],
  "DevOps": ["Docker", "CI/CD", "CloudFormation", "Cloud Build"],
  "Other": ["ACH Systems", "Financial Reporting", "Web Scraping"]
}

• GitHub: totally-not-eli
• LinkedIn: Eliniel Valdez