Summary
Overview
Work History
Education
Skills
Affiliations
Accomplishments
Websites
Timeline
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Thomas Schlectic

Baltimore,MD

Summary

Results-oriented Technical Program Manager with a customer-focused approach and extensive experience in Agile project management. A dynamic team leader adept at inspiring and managing associates to develop innovative business solutions. Proven track record of driving product development through the implementation of AI technologies.

Overview

5
5
years of professional experience

Work History

Technical Program Manager - AI/ML

Peloton Interactive Inc.
Baltimore, MD
08.2023 - Current
  • Designed and led the implementation of a machine-assisted labeling pipeline for bounding box and keypoint data, achieving a notable 42% cost reduction. This initiative not only significantly improved overall quality but also transformed completion time from multiple days to mere minutes.
  • Redesigned Peloton CV's labeling schema to incorporate advanced automation techniques, further reducing manual time resulting in an additional 40% savings in labor costs, positioning the workflow for continued efficiency gains.
  • Maintained relationships with vendors and partners ensuring successful execution of programs within budget constraints.
  • Collaborated with an ML engineer to optimize Peloton CV's exercise tracking model, transitioning it from a multiclassifier to a binary classifier. This strategic adjustment not only improved scalability and accelerated development speed but also led to a notable enhancement in accuracy, ensuring more reliable performance.

Owner - Trapinch Cards

Self-employeed
Baltimore, MD
05.2019 - Current
  • Founded and operated a successful online card store on eBay, specializing in Pokemon TCG and Magic the Gathering.
  • Successfully sold over 2.8k items with a stellar track record of 100% positive feedback, attesting to exceptional customer satisfaction and service quality.
  • Orchestrated end-to-end operations, encompassing inventory procurement, product listing optimization, order fulfillment, and responsive customer service, ensuring a seamless and gratifying shopping experience for buyers.

Associate Technical Program Manager - AI/ML

Peloton Interactive Inc.
Baltimore, MD
08.2022 - 08.2023
  • Played a pivotal role in Peloton's rep counting model for Peloton Guide by assisting in data gathering, testing, and defining required input parameters. Collaborated closely across teams to ensure comprehensive data acquisition, rigorous testing, and precise specification of input criteria, crucial for the model's successful development and integration.
  • Co-led a team of 12 data technicians responsible for annotating and quality assuring data across multiple computer vision models utilized in Peloton's training and testing processes
  • Identified and resolved a critical bug in Peloton's Rep Tracking Modeling system, resulting in a remarkable 26% improvement in accuracy on the first repetition

Data Project Manager

Peloton Interactive Inc.
Baltimore, MD
06.2021 - 08.2022
  • Developed Peloton CV's machine learning movement library, encompassing over 1500 movements distributed across 600 pages with image references. The library defines optimal tracking angles, common body positions, and instructor planning frequency of movements in Peloton Strength Classes.
  • Produced reference videos for all movements included in the aforementioned library, ensuring clear data sourcing references for external vendors.
  • Established comprehensive diversity requirements for sourcing computer vision (CV) data, specifying the distribution of gender, skin-tone, lighting conditions, angles, body types, fitness levels, and other relevant factors. This initiative aimed to mitigate model bias and ensure inclusivity in the dataset.

Data Quality Analyst

Peloton Interactive Inc.
Baltimore, MD
02.2021 - 06.2021
  • Labeled over 5000 Peloton class plans with the corresponding movements performed by instructors, aiding in movement development prioritization and tracking
  • Created internal documentation outlining a system aimed at reducing labeling costs and time by 2.5x, streamlining the labeling process for Peloton class plans
  • Managed and trained an external contracting agency to provide assistance in this effort, ensuring seamless collaboration and maximizing efficiency in labeling Peloton class plan

Data Engineering Intern

BlueVoyant
Baltimore, MD
02.2021 - 04.2021
  • Developed and coded an ETL pipeline to efficiently transform CSV, SQL, TXT, and JSON files from Amazon S3 to Google's BigQuery.
  • Processed over 1.3 billion lines of data with a 94% success rate, demonstrating exceptional efficiency and accuracy in data handling.

Education

Bachelor of Science - Computer Science

Loyola University Maryland
Baltimore, MD
05-2020

Skills

  • Computer Vision
  • Generative AI
  • SQL
  • Microsoft Offices
  • Python
  • Project Management
  • Vendor Relations
  • Jira
  • Asana
  • Looker
  • CMS
  • AI Model Development
  • Data Analytics
  • Confluence
  • Data Management
  • A/B Testing

Affiliations

  • Co-Founded and Led Peloton Software Organization's Mentorship Program
  • Created and Led Peloton Software Organization's First Job Shadowing Day
  • Launched and Led Peloton Annual Software Organization's Table Tennis Tournament

Accomplishments

Awarded Peloton Software Organization’s “Together We Go Far” Award

  • Awarded Peloton Software Organization’s Annual 'Together We Go Far' Award for outstanding dedication to customer-first principles and exceptional service.

Timeline

Technical Program Manager - AI/ML

Peloton Interactive Inc.
08.2023 - Current

Associate Technical Program Manager - AI/ML

Peloton Interactive Inc.
08.2022 - 08.2023

Data Project Manager

Peloton Interactive Inc.
06.2021 - 08.2022

Data Quality Analyst

Peloton Interactive Inc.
02.2021 - 06.2021

Data Engineering Intern

BlueVoyant
02.2021 - 04.2021

Owner - Trapinch Cards

Self-employeed
05.2019 - Current

Bachelor of Science - Computer Science

Loyola University Maryland

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