Eric L.

Key Skills

Software

Surge AI

Toloka

Scale AI

Snorkel AI

Mindrift

Mercor

Micro1

Axiom AI

AWS SageMaker

Anno-Mage

Appen

Argilla

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Datasaur

Datature

Dataturk

Deep Systems

Diffgram

Doccano

Encord

Figure Eight

Google Cloud Vertex AI

Hasty

HiveMind

iMerit

Humanatic

Img Lab

Kili Technology

Labelbox

LabelImg

Label Studio

LightTag

Lionbridge

Mighty AI

OneForma

OpenCV AI Kit (OAK)

Playment

Prodigy

Redbrick AI

Remotasks

Roboflow

Sama

Sloth

SuperAnnotate

Supervisely

Tagtog

Telus

Trilldata Technologies

VoTT

V7 Labs

Top Subject Matter

LLM-powered information extraction

Classification Domain Expertise

and summarization from enterprise documents

Top Data Types

Document

Text

Computer Code Programming

Top Task Types

Function Calling

Fine-tuning

Text Generation

Data Collection

Computer Programming/Coding

Text Summarization

Freelancer Overview

Senior Full Stack & AI Engineer, Encora Inc (08/2023 – Present): Multi-agent workflows for automated extraction/classifi. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LangChain and Other. Education includes Bachelor of Science, University of North Carolina at Charlotte (2016). AI-training focus includes data types such as Document and labeling workflows including Function Calling and Fine-tuning.

Labeling Experience

Senior Full Stack & AI Engineer, Encora Inc (08/2023 – Present): Multi-agent workflows for automated extraction/classification/summarization

DocumentFunction Calling

Developed multi-agent orchestration workflows to automatically extract, classify, and summarize information from unstructured sources. The work focused on transforming document and messaging content into structured outputs suitable for downstream AI use cases. This included building function-calling interfaces that support repeatable extraction and summarization across multiple document types. • Data extraction from PDFs, emails, SharePoint content, and web sources • Automated classification and summarization of extracted content • Custom tool definitions and function-calling APIs for multi-agent workflows • Replacement of manual data entry for approximately 3 FTEs

2023 - Present

Senior Software Engineer – Full Stack, VironIT (01/2019 – 07/2023): Deployed a scikit-learn ticket classification model

OtherDocumentFine-tuning

Built and deployed a machine-learning text classification model to automatically categorize incoming support tickets. The pipeline used traditional text features and a supervised multi-class learning approach to reduce triage effort. Model outputs were used to automate categorization decisions in a production support workflow. • Created a scikit-learn multi-class classifier for JIRA support tickets • Used TF-IDF features with Gradient Boosting for categorization • Achieved 89% accuracy in auto-categorizing tickets • Reduced average triage time by 35% through automated labeling decisions

2019 - 2023

Education

Work History