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.

15
AI Projects
8
Certifications
3+
Years Experience
12+
Technologies

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.

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LLM ยท RAG 8 Weeks

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%.

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AUTOMATION ยท LLM 4 Weeks

LLM-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.

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ML ยท NLP 6 Weeks

Real-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.

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VECTOR SEARCH 5 Weeks

Semantic 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.

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PROMPT ENGINEERING 3 Weeks

Automated 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.

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CODE GENERATION 4 Weeks

AI 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.

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View All Case Studies โ†’

Skills & Expertise

Machine Learning & AI

  • โœ“ Large Language Models (LLMs)
  • โœ“ Retrieval-Augmented Generation
  • โœ“ Prompt Engineering
  • โœ“ Fine-tuning & Transfer Learning
  • โœ“ Natural Language Processing

Production Engineering

  • โœ“ API Development (FastAPI)
  • โœ“ Docker & Containerization
  • โœ“ Database Design (SQL, Vector DBs)
  • โœ“ System Architecture
  • โœ“ Cloud Deployment (AWS)

Languages & Frameworks

  • โœ“ Python (primary)
  • โœ“ LangChain
  • โœ“ OpenAI & Claude APIs
  • โœ“ Hugging Face Transformers
  • โœ“ Pandas, NumPy, Scikit-learn

Technologies

Python LangChain OpenAI API Claude API RAG Systems Prompt Engineering Vector Databases FastAPI Docker Git/GitHub PostgreSQL AWS

Education & Certifications

Degree-level education combined with professional certifications in UX/UI design and modern AI/ML engineering practices.

Graphic Design Degree
University of West London
2019
UX/UI Nanodegree
Udacity
2020
Prince2 Agile
Project Management Certification
2017
Prompt Engineering for LLMs
DataCamp
Completed 2024
Building RAG Systems with LangChain
DataCamp
Completed 2024
Python for Data Science & Machine Learning
DataCamp
Completed 2024
Git & GitHub Essentials
DataCamp
Completed 2024
Working with the OpenAI API
DataCamp
Completed 2024
Introduction to LLMOps
DataCamp
Completed 2024
Vector Databases & Embeddings
DataCamp
Completed 2024
API Development with FastAPI
DataCamp
Completed 2024

Modern AI Development Workflow

01
Problem Framing
Understanding the ML problem, data availability, and success metrics before writing code.
02
Exploration & Prototyping
Rapid experimentation with models, frameworks, and approaches to validate the solution.
03
Development & Testing
Building production-ready code with proper testing, error handling, and documentation.
04
Deployment & Monitoring
Deploying to production with monitoring, logging, and continuous improvement.

Andrew Zvoma

Andrew Zvoma - AI Engineer

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.

15
AI Projects
8
Certifications
3+
Years Experience
12+
Technologies

Let's Work Together

Open to AI/ML engineering roles, consulting projects, and collaborations with innovative teams.