Summary
Overview
Work History
Education
Skills
Websites
Certification
Languages
Timeline
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HARSHITH GEORGE THIPARALA

Worcester,MA

Summary

Results-driven Machine Learning professional with proven expertise in data engineering and team leadership at Amazon GO. Advanced from ML Data Associate to ML Data Engineer Level 2, demonstrating technical excellence and career progression within Amazon's innovative retail technology division. Spearheaded data annotation initiatives crucial for Amazon GO's computer vision systems, while managing cross-functional teams to optimize data quality and annotation workflows. Combined deep technical knowledge in machine learning operations with strong project management capabilities to drive improvements in data pipeline efficiency and annotation accuracy.

Overview

2
2
years of professional experience
1
1
Certification

Work History

ML Data Engineer

Amazon GO
11.2021 - 08.2022
  • Led end-to-end data annotation operations for Amazon GO's computer vision systems, achieving 98% accuracy in manual annotation workflows while reducing processing time by 30%
  • Developed and implemented comprehensive software testing protocols for ML data pipelines, ensuring data integrity and model performance across multiple retail locations
  • Streamlined error triaging processes by creating a standardized documentation system, resulting in 40% faster issue resolution and improved team productivity
  • Orchestrated cross-functional collaboration between ML engineers, data scientists, and annotation teams to optimize data quality and maintain annotation consistency
  • Mentored a team of 8 data associates, providing technical guidance and establishing best practices for data annotation and quality assurance
  • Implemented automated quality control measures for annotation verification, reducing manual review time by 25% while maintaining high accuracy standards
  • Designed and maintained documentation for annotation guidelines and SOPs, facilitating seamless knowledge transfer and consistent team performance
  • Collaborated with ML research teams to refine annotation requirements and adapt workflows to evolving model needs and business requirements
  • Environment: Azure Data Factory, Power BI, MS Excel, Python, Agile Methodology, DevOps, JIRA

ML Data Associate

Amazon Development India CXQO
05.2022 - 12.2023
  • Mastered complex annotation methodologies through intensive training programs, progressively advancing to handle critical client requirements and earning specialized certifications
  • Developed expertise in creating technical documentation by authoring comprehensive SOPs, enhancing team knowledge sharing and operational efficiency
  • Cultivated strong client communication skills through regular training sessions and requirement-gathering calls, learning to effectively bridge technical and business needs
  • Acquired proficiency in quality assurance processes and error detection methodologies while maintaining high accuracy standards in data annotation
  • Enhanced project management capabilities by collaborating with cross-functional teams to understand and implement evolving annotation requirements
  • Gained valuable experience in training material development and knowledge transfer, contributing to improved team onboarding processes
  • Built expertise in workflow optimization and process improvement through hands-on experience with diverse annotation projects
  • Developed deep understanding of machine learning data requirements through direct involvement in annotation quality control and validation processes
  • Environment: Microsoft Power BI, SQL, Azure Data Factory, ETL, Azure Data Lake, Python, Matplotlib, JIRA, Agile Methodology, Kafka

Education

Master’s Degree - Computer Science

Clark University
12.2024

Skills

  • Python
  • C
  • SQL
  • R
  • Data integration
  • Oracle
  • MySQL
  • SQL Server
  • MongoDB
  • Snowflake
  • Microsoft Power BI
  • Tableau
  • Power BI Desktop
  • Oracle Transactional Business Intelligence
  • Microsoft Excel
  • Azure Data Factory
  • AWS Glue
  • Amazon Kinesis

Certification

  • [AWS Cloud] [Amazon Development India] Oct 2021]
  • Adobe UI/UX/Web Development [Adobe/GNIT] Mar 2019

Languages

English
Full Professional
Telugu
Native or Bilingual
Hindi
Native or Bilingual

Timeline

ML Data Associate

Amazon Development India CXQO
05.2022 - 12.2023

ML Data Engineer

Amazon GO
11.2021 - 08.2022

Master’s Degree - Computer Science

Clark University

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HARSHITH GEORGE THIPARALA