Nicki M.

Key Skills

Software

Other

Top Subject Matter

LLM-powered document question answering and retrieval augmentation

LLM prompt engineering

RAG documentation

Top Data Types

Document

Image

Top Task Types

Question Answering

Prompt + Response Writing (SFT)

Freelancer Overview

AI Engineer & Full-Stack Developer (Self Employed — Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include ChromaDB and Other. Education includes From Basics to Advanced Projects with AI 64 hrs · Mar, Udemy Decoding DevOps (2026) and Next.js, Redux & More 84 hrs · Mar, Udemy The Ultimate React Course 2025: React (2026). AI-training focus includes data types such as Document and labeling workflows including Question Answering and Prompt + Response Writing (SFT).

Labeling Experience

Open Source AI Contributor (AI/ML Open Source Community — Remote)

OtherDocumentPrompt + Response Writing (SFT)

Created beginner-friendly example notebooks demonstrating LLM integration patterns and prompt engineering techniques. Contributed to LangChain and RAG documentation to improve onboarding for production deployments and clarify complex setup steps. Submitted bug-fix pull requests and feature improvements to community repositories while collaborating with distributed teams.• Wrote/updated RAG and LLM integration documentation for easier setup.• Produced example notebooks focused on prompts and end-to-end LLM workflows.• Participated in PRs for AI/ML repository improvements.• Collaborated with global teams on production-oriented guidance.

2025 - 2026

AI Engineer & Full-Stack Developer (Self Employed — Remote)

DocumentQuestion Answering

Built a Document Q&A chatbot that processes multi-page PDFs and produces context-aware answers using RAG. Implemented RAG pipeline handling 50+ page documents and applied prompt optimization to improve answer quality, cost, and latency. Designed evaluation frameworks to track relevance, accuracy, and performance over time.• Ingested and chunked document content for retrieval-augmented generation.• Tuned prompts and routing logic to direct queries to the right processing pipeline.• Integrated evaluation and monitoring for model output degradation over time.• Supported API-driven deployment via REST backend services.

2023 - 2026

Education

Work History