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H
Harsh P.

Harsh P.

Software Engineer, Sprout Social — Built Claude (Anthropic) AI integration for content tagging and PR reviews

USA flagChicago, Usa

Key Skills

Software

Other

Top Subject Matter

LLM-assisted content tagging and review for social media/engineering workflows

Top Data Types

TextText

Top Task Types

Text GenerationText Generation

Freelancer Overview

Software Engineer, Sprout Social — Built Claude (Anthropic) AI integration for content tagging and PR reviews. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Illinois at Chicago (UIC) (2022). AI-training focus includes data types such as Text and labeling workflows including Text Generation.

Labeling Experience

Software Engineer - Sprout Social

TextText

Software Engineer at Sprout Social responsible for building and optimizing scalable distributed systems and high-performance APIs. You improved platform performance through database query optimization and reduced operational load while monitoring resource utilization. You also delivered microservices-based API migrations and integrated message-queue driven workflows to support resilient event processing at scale. • Optimized database queries to reduce load times by 90% and cut server resource usage by 40% • Led microservices API migrations for social network integrations with zero downtime • Integrated NSQ to decouple real-time event processing and enable async workflows • Built Claude AI integration for automated content tagging and PR reviews, plus Elasticsearch/HBase full-text search implementation

2022 - Present

Software Engineer, Sprout Social — Built Claude (Anthropic) AI integration for content tagging and PR reviews

OtherTextTextText GenerationText Generation

Built and deployed an Anthropic Claude AI integration to automate content tagging and PR reviews. The work involved using LLM outputs to support review and tagging workflows that reduced manual effort. This represented LLM-assisted labeling and evaluation for internal content processing pipelines.• Automated content tagging using Claude API outputs.• Assisted PR review workflows using LLM-generated assessments.• Reduced manual review time by approximately 30%.• Integrated the AI functionality into existing production pipelines at Sprout Social.

2022 - Present

Education

U

University of Illinois at Chicago (UIC)

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2022

Work History

S

Sprout Social

Software Engineer

Chicago
2022 - Present
R

Relativity

Software Engineer Intern

Chicago
2021 - 2021