Elisheba Anderson
Community Member at Mass Ave Labs
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolElisheba Anderson is a founder and senior software engineer with a decade of experience building production-grade AI systems and scalable cloud architectures. She leads Mass Ave Labs, delivering intelligent automations and full-stack AI agents, and was a Top 3 Finalist at HackwithDC 2026 for a deterministic, SQLite-backed conversational memory system. At Amivero she architected a serverless RAG platform (AWS Bedrock, Titan embeddings, Claude Sonnet) that cut document review cycles by 88% and helped secure an unsolicited $8M federal contract, and she delivered an OCR ingestion pipeline demoed to 3,000 professionals ahead of schedule. Her technical portfolio spans RAG, agentic workflows, LLM integrations (Claude, Llama, Gemini), Docker/Kubernetes deployments, and AI security including prompt-injection defenses. She combines startup pragmatism with enterprise-grade systems design—improving developer velocity through tooling and mentoring while shipping auditable, compliant solutions. Beyond product work, she documents AI architecture learnings on Elisheba Builds and contributes practical open-source improvements to civic-focused Rails projects.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Business Administration; Marketing, Bachelor of Science - BS, Business Administration; Marketing at University of North Carolina WilmingtonMaster of Professional Studies (MPS) • Technology Management, Master of Professional Studies (MPS) • Technology Management at Georgetown University
Github Skills (9)
rails10
mongodb10
ruby-on-rails10
mongodb-database10
modeling9
modello9
data-validation9
modeler9
activerecord8
Programming languages (8)
Github contributions (5)
DARIAEngineering/dcaf_case_management
Apr 2016 - Jul 2016
Rails-based case management system for abortion funds
Role in this project:
Back-end Developer
Back-end DeveloperContributions:73 commits in 2 months
Contributions summary:Elisheba primarily worked on modifying the `Patient` and `Pregnancy` models within the Rails-based case management system. Their commits show a focus on data validation, specifically phone number formatting and length restrictions, suggesting improvements to data integrity. They also added the `Auditable` concern to several models (Patient, Pregnancy, Call, Clinic, Note, Pledge), indicating a focus on adding auditing capabilities, and they refactored the `Auditable` concern's location and imports.
rails
ElishebaW/keeper_track
Dec 2017 - Feb 2026
Tracking of housekeepers in a small motel
Contributions:43 PRs, 90 pushes, 62 branches in 8 years 3 months
tracking
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