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Software engineer (7+ years) transitioning into AI engineering, with a strong foundation in enterprise e-commerce platforms, cloud architectures, micro-frontends, and end-to-end integrations. I bring production-grade engineering rigor to LLM/RAG systems, emphasizing grounded retrieval, traceability, and answer quality. I’ve led front-end architecture and delivery across global teams, owned UI state and testing processes, and built full-stack solutions from REST API/data modeling through observability and CI/CD. Most recently, I build LLM/RAG applications using Next.js, TypeScript, pgvector/PostgreSQL, and LangChain with structured ingestion pipelines and provenance-focused outputs.…Software engineer (7+ years) transitioning into AI engineering, with a strong foundation in enterprise e-commerce platforms, cloud architectures, micro-frontends, and end-to-end integrations. I bring production-grade engineering rigor to LLM/RAG systems, emphasizing grounded retrieval, traceability, and answer quality. I’ve led front-end architecture and delivery across global teams, owned UI state and testing processes, and built full-stack solutions from REST API/data modeling through observability and CI/CD. Most recently, I build LLM/RAG applications using Next.js, TypeScript, pgvector/PostgreSQL, and LangChain with structured ingestion pipelines and provenance-focused outputs.

Sam anrht

AI Engineer, Back-End Developer, Full Stack Developer, +2

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Software engineer (7+ years) transitioning into AI engineering, with a strong foundation in enterprise e-commerce platforms, cloud architectures, micro-frontends, and end-to-end integrations. I bring production-grade engineering rigor to LLM/RAG systems, emphasizing grounded retrieval, traceability, and answer quality. I’ve led front-end architecture and delivery across global teams, owned UI state and testing processes, and built full-stack solutions from REST API/data modeling through observability and CI/CD. Most recently, I build LLM/RAG applications using Next.js, TypeScript, pgvector/PostgreSQL, and LangChain with structured ingestion pipelines and provenance-focused outputs.…Software engineer (7+ years) transitioning into AI engineering, with a strong foundation in enterprise e-commerce platforms, cloud architectures, micro-frontends, and end-to-end integrations. I bring production-grade engineering rigor to LLM/RAG systems, emphasizing grounded retrieval, traceability, and answer quality. I’ve led front-end architecture and delivery across global teams, owned UI state and testing processes, and built full-stack solutions from REST API/data modeling through observability and CI/CD. Most recently, I build LLM/RAG applications using Next.js, TypeScript, pgvector/PostgreSQL, and LangChain with structured ingestion pipelines and provenance-focused outputs.

Available to hire

Software engineer (7+ years) transitioning into AI engineering, with a strong foundation in enterprise e-commerce platforms, cloud architectures, micro-frontends, and end-to-end integrations. I bring production-grade engineering rigor to LLM/RAG systems, emphasizing grounded retrieval, traceability, and answer quality.

I’ve led front-end architecture and delivery across global teams, owned UI state and testing processes, and built full-stack solutions from REST API/data modeling through observability and CI/CD. Most recently, I build LLM/RAG applications using Next.js, TypeScript, pgvector/PostgreSQL, and LangChain with structured ingestion pipelines and provenance-focused outputs.

Skills

Experience Level

Expert

Expert

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Expert

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Expert

Intermediate

Intermediate

Language

Work Experience

Software Engineer (LLM/RAG-focused) at Read MyDocs AI (Grounded Document Q&A with RAG) — GitHub project

June 1, 2026 - Present

Built a production-style retrieval-augmented generation system that answers natural-language questions over uploaded documents with inline citations and source inspection. Implemented an end-to-end ingestion pipeline supporting multiple formats (PDF/Markdown/text), structure-aware chunking, OpenAI embeddings, and pgvector storage in PostgreSQL. Added top-k semantic retrieval with a query-trace logging layer for provenance and answer-quality tracking. Included checksum-based duplicate detection to skip re-embedding identical uploads and reduced redundant OpenAI spend. Added inline citations plus a confidence indicator (precision@k) and a "Why this answer?" view to reduce hallucinations and improve trust. Designed the full Next.js UI (Material Design 3, light/dark) for upload and chat-style Q&A wired to backend API routes, with Vitest coverage across the pipeline.

Software Developer at SAP Canada Inc.

May 1, 2021 - May 1, 2026

Owned and led front-end architecture for a global cloud e-commerce Order Management System, migrating from a legacy framework to React. Built a new component architecture from the ground up and drove adoption of modern engineering standards across the program. Participated in UX discovery sessions to capture user interactions and technical constraints, partnering with design teams to finalize UI architecture. Engineered resilient UI state management and structured component data flows for stability under changing product requirements. Identified a UI performance validation gap and independently engineered a standardized testing process using Google DevTools, establishing Core Web Vitals benchmarks adopted by the team. Showcased product milestones with live demos to senior leadership and collaborated with clients to resolve high-priority production escalations. Partnered with product/program managers on UI architectural direction, ran technical proofs of concept, provided feature estima

Full Stack Developer at Wandrian

February 1, 2019 - May 1, 2021

Owned end-to-end feature delivery for a customer-facing Italian rail booking platform (italiarail.com) and internal support tooling, managing the full request path from front-end to Python/Django backend and MongoDB/MySQL databases. Designed and engineered REST APIs and data models, architecting scalable backend schemas and endpoints for seamless real-time public booking flows and integrations. Contributed to re-architecture and transition of a large-scale platform from legacy JavaScript to a structured TypeScript/Angular stack to maintain production stability across co-existing codebases. Implemented A/B testing and feature flagging to safely gate new features, capture real-time user interaction data, and drive iterative design-led UI rollouts. Scoped and independently delivered a bulk ticket-processing pipeline serving 10,000+ customers within a single sprint via rapid architecture trade-offs. Integrated third-party service pipelines (Klaviyo and SendGrid) from backend logic into pro

Consultant at Big Bang ERP

July 1, 2018 - January 1, 2019

Participated in client discovery sessions to capture and document business requirements and produced approval-ready specifications for ERP customizations. Delivered custom NetSuite solutions including UI components, order-management forms, and automated field scripts tailored to client business processes.