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Sean Lynch

Sean Lynch

Senior Python Engineer - AI training and ML pipeline development (Splunk, Inc)

USA flagSan Jose, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

Automated Document Processing & Classification
Observability Data Anomaly Detection

Top Data Types

DocumentDocument
TextText

Top Task Types

ClassificationClassification

Freelancer Overview

Senior Python Engineer - AI training and ML pipeline development (Splunk, Inc). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Southwestern University (2015). AI-training focus includes data types such as Document and Text and labeling workflows including Classification.

Expert

Labeling Experience

Senior Python Engineer - AI training and ML pipeline development (Splunk, Inc)

DocumentClassification
Led the architecture and implementation of machine learning pipelines for automated document classification and data extraction using Python. Integrated and optimized AI models to process millions of documents daily, improving extraction accuracy and reducing latency. Built APIs and real-time document classification services facilitating AI-driven partner integrations. • Automated extraction processes using Python-based ML models • Improved system throughput and resource utilization with cloud-based AI workloads • Integrated document classification within scalable backend microservices • Established logging and monitoring for all stages of the AI pipeline

Led the architecture and implementation of machine learning pipelines for automated document classification and data extraction using Python. Integrated and optimized AI models to process millions of documents daily, improving extraction accuracy and reducing latency. Built APIs and real-time document classification services facilitating AI-driven partner integrations. • Automated extraction processes using Python-based ML models • Improved system throughput and resource utilization with cloud-based AI workloads • Integrated document classification within scalable backend microservices • Established logging and monitoring for all stages of the AI pipeline

2024 - Present

Senior Software Engineer - ML model integration for anomaly detection (Datadog, Inc)

TextClassification
Integrated Python machine learning models for anomaly detection in observability data streams. Automated the evaluation and classification of billions of metrics and logs daily, reducing incident detection time. Enhanced distributed backend services to support AI-based data analysis and pipeline reliability. • Built and maintained ML models for text analytics of system logs and metrics • Automated metric and log data classification for anomaly identification • Improved large-scale data ingestion and processing efficiency using AI • Standardized CI/CD workflows for quick deployment of ML updates

Integrated Python machine learning models for anomaly detection in observability data streams. Automated the evaluation and classification of billions of metrics and logs daily, reducing incident detection time. Enhanced distributed backend services to support AI-based data analysis and pipeline reliability. • Built and maintained ML models for text analytics of system logs and metrics • Automated metric and log data classification for anomaly identification • Improved large-scale data ingestion and processing efficiency using AI • Standardized CI/CD workflows for quick deployment of ML updates

2020 - 2023

Education

S

Southwestern University

Bachelor of Science, Computer Science

Bachelor of Science
2010 - 2015

Work History

S

Splunk

Senior Python Engineer

San Jose
2024 - Present
D

Datadog

Senior Software Engineer

New York
2020 - 2023