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Ping M.

Ping M.

AI Automation Analyst (LLM-Augmented Workflows) at Slalom (U.S.)

USA flagAbington, Usa

Key Skills

Software

AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
ArgillaArgilla
Axiom AI
ClickworkerClickworker
MindriftMindrift
Mighty AIMighty AI
LionbridgeLionbridge
LightTagLightTag
Scale AIScale AI
SamaSama
RemotasksRemotasks
Snorkel AISnorkel AI
TelusTelus
TolokaToloka
Trilldata Technologies

Top Subject Matter

LLM-assisted data parsing
QA automation
and human-in-the-loop validation.

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Point/Key PointPoint/Key Point
PolylinePolyline
CuboidCuboid
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization

Freelancer Overview

AI Automation Analyst (LLM-Augmented Workflows) at Slalom (U.S.). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenRouter. Education includes Master of Science, Carnegie Mellon University (2018) and Bachelor of Science, University of California, Berkeley (2016). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Labeling Experience

AI Automation Analyst (LLM-Augmented Workflows) at Slalom (U.S.)

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Prototyped LLM-assisted parsing and quality assurance routines to accelerate field extraction, error triage, and reviewer throughput while preserving accuracy. Built prompt and rule-based guardrails to enforce formatting, check hallucinations, and align citations to their sources. Authored runbooks and QA checklists that enabled human-in-the-loop review and faster onboarding for new contributors. • Accelerated field extraction and QA triage for structured deliverables. • Implemented consistency guardrails (format enforcement, hallucination checks, citation-to-source alignment). • Automated repetitive cleanup tasks (standardization, entity matching, deduplication). • Produced human-review runbooks and QA checklists to improve onboarding and reduce manual corrections.

2018 - 2019

Education

C

Carnegie Mellon University

Master of Science, Computer Science

Master of Science
2018
U

University of California, Berkeley

Bachelor of Science, Applied Mathematics and Computer Science

Bachelor of Science
2016

Work History

G

Gartner

Web Scraping & Automation Engineer

Abington
2023 - 2025
Z

Zillow

Data Extraction Specialist

Abington
2021 - 2023