Hi, I'm Andrew Zvoma
AI Engineer & Machine Learning Specialist
Building production-ready AI systems with Large Language Models, RAG systems, and prompt engineering. 3+ years turning complex ML problems into elegant, scalable solutions across SaaS, fintech, and enterprise platforms.
Case Studies
A selection of AI/ML engineering projects across LLM applications, RAG systems, and production ML โ each demonstrating measurable outcomes and technical depth.
Intelligent Document Q&A System
Built a RAG-powered chatbot using LangChain, OpenAI, and Pinecone that answers complex questions from 500+ pages of technical documentation with 92% accuracy. Reduced support ticket volume by 60%.
Read Full Case StudyLLM-Powered Workflow Automation
Automated a manual data processing pipeline using GPT-4, reducing processing time from 6 hours to 15 minutes per batch. Handles unstructured document extraction, categorization, and summarization at scale.
Read Full Case StudyReal-Time Sentiment Analysis API
Deployed a production sentiment analysis API using Hugging Face transformers that processes 10k+ customer reviews per day with 94% accuracy. Fine-tuned on domain-specific data for e-commerce platform.
Read Full Case StudySemantic Product Search Engine
Implemented semantic search using OpenAI embeddings and Chroma vector database. Improved search discovery by 65% and conversion by 45% over traditional keyword-based approaches.
Read Full Case StudyAutomated Prompt Optimization System
Developed a system that automatically tests and optimizes LLM prompts across 50+ use cases. Improved output quality by 40% and reduced iteration time by 10x through A/B testing and metrics.
Read Full Case StudyAI Code Review & Documentation Assistant
Built an AI assistant using Claude API that performs automated code reviews, flags issues, and generates documentation. Saves 15 hours per week for development teams.
Read Full Case StudySkills & Expertise
Machine Learning & AI
- โ Large Language Models (LLMs)
- โ Retrieval-Augmented Generation
- โ Prompt Engineering
- โ Fine-tuning & Transfer Learning
- โ Natural Language Processing
Production Engineering
- โ API Development (FastAPI)
- โ Docker & Containerization
- โ Database Design (SQL, Vector DBs)
- โ System Architecture
- โ Cloud Deployment (AWS)
Languages & Frameworks
- โ Python (primary)
- โ LangChain
- โ OpenAI & Claude APIs
- โ Hugging Face Transformers
- โ Pandas, NumPy, Scikit-learn
Technologies
Education & Certifications
Degree-level education combined with professional certifications in UX/UI design and modern AI/ML engineering practices.
Modern AI Development Workflow
Andrew Zvoma
AI Engineer building intelligent systems with modern ML frameworks
I'm passionate about turning complex machine learning problems into elegant, scalable solutions. With 3+ years in AI engineering, I've built production systems across LLMs, RAG architecture, and automation workflows.
Currently focused on prompt engineering, LLM fine-tuning, and deploying AI solutions that drive real business impact. I bridge the gap between cutting-edge AI research and practical production systems.
Open to AI/ML engineering roles at innovative tech companies, particularly in the AI/ML infrastructure and applications space.
Let's Work Together
Open to AI/ML engineering roles, consulting projects, and collaborations with innovative teams.