Ivan A.

Key Skills

Software

AWS SageMaker

Top Subject Matter

Tax expense classification using LLM APIs and agentic automation

Causal inference analytics and analytics pipeline development for dashboards and reward programs

Top Data Types

Text

Top Task Types

Function Calling

Classification

Freelancer Overview

Founder — agentic tax expense classification product development. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Docker, AWS S3 and Athena, and AWS SageMaker. Education includes Doctor of Philosophy, University of Tennessee (2024) and Bachelor of Arts, University of Colorado Boulder (2014). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Function Calling, Evaluation, and Rating.

Labeling Experience

Founder - Prblm Solver

AWS SageMakerTextClassification

As the founder, Ivan builds and productizes an agent-based pipeline for classifying tax expenses. He designs and deploys LLM-driven tooling that integrates containerized services, data storage, and third-party billing/payment systems. He also develops supporting web applications for delivering AI agent products to small businesses, leveraging modern Python and async job processing. • Designed an agent CLI for tax expense classification using an LLM API and Docker with Python • Productized OpenClaw deployments using Postgres, Neon, Stripe, and VPS infrastructure • Built a web app for delivering AI agent products using HTMX, FastAPI, ARQ workers, Redis, and Postgres • Sold agentic products to non-technical small-business users with an entrepreneurial customer focus

2025 - Present

Founder — agentic tax expense classification product development

Function Calling

Designed an LLM-based classification agent as part of a tax expense classification pipeline, focusing on structured outputs and classifier integration. Built and productized deployment workflows to expose the agent as an end-user product for small businesses. Implemented a supporting web application to orchestrate agent execution and deliver the classification capability.

2025 - Present

Data Scientist — causal inference and analytics pipeline work

Conducted observational causal inference analyses delivered through client dashboards, including modeling pipelines to support research outputs. Built data processing workflows using DBT and analytics tooling to prepare data and generate measurable results. Contributed to ETL pipelines and assisted in designing fair reward allocation mechanisms, implying iterative evaluation of outcomes.

2024 - 2024

Education

Work History