Backend engineer experienced in high-scale data pipelines, API integrations, and cloud-native systems. Strong focus on reliability, performance, and delivering production-ready backend services.
Overview
5
5
years of professional experience
Work History
Backend Software Engineer
Edlink (Epiphany)
06.2025 - Current
Engineered core components of Edlink’s backend data-integration platform, synchronizing complex educational data models across multiple external providers.
Authored complete provider sync implementations, including ingestion flows, pagination, delta logic, batch processing, and robust error-handling across unreliable APIs.
Contributed to migrating legacy SQL models to a new MikroORM-based entity architecture, helping redesign multi-schema data models and modernize provider pipelines.
Developed an ephemeral database testing system for validating entity conversions and sync correctness, including automated DB lifecycle management and custom test harnesses.
Designed scalable, high-throughput pipelines capable of processing millions of records across multi-tenant environments with strong data-integrity guarantees.
Worked cross-functionally with Support, Customer Success, and Product teams to resolve onboarding issues and data discrepancies across providers.
Software Engineer, Co-Creator
Nimbus
12.2024 - 05.2025
Co-created an open-source framework for deploying lightweight NLP models with minimal infrastructure overhead.
Built a TypeScript/Node.js CLI that automated model packaging and cloud provisioning, reducing 35+ manual steps to a single command.
Developed AWS CDK infrastructure for Lambda (Docker), API Gateway, S3, and ECR to enable reproducible, low-cost inference pipelines.
Implemented a React-based testing interface and authored a public case study covering architecture, deployment patterns, and model-ops challenges.
Consultant
Data Kinetic
06.2024 - 12.2024
Collaborated on defining user personas and workflow needs for AI workflow agents supporting medical group operations.
Software Engineer
Independent
01.2021 - 01.2024
PostGuard AI: Built a RAG application detecting fraudulent job postings using Instructor embeddings, LangChain, pgvector, and OpenAI (React + Express).
Basket-Case: Developed a webhook inspection tool with a live React dashboard, Express backend, WebSockets, and MongoDB/PostgreSQL.
Timely: Created a Ruby/Sinatra scheduling application with ERB templates and PostgreSQL.