Summary
Overview
Work History
Education
Skills
Ai/Ml Projects
Languages
Timeline
Generic

Tariq Hardan

Princeton,TX

Summary

Detail-oriented and tech-driven support engineer transitioning into AI/ML with hands-on experience building Retrieval-Augmented Generation (RAG) systems, computer vision models using TensorFlow, and NLP pipelines. Proven ability in QA, API integration, debugging, and client-facing roles. Eager to bring a strong problem-solving mindset, communication skills, and ML knowledge to fast-paced, innovative teams.

Overview

11
11
years of professional experience

Work History

QA/Support Engineer

Cypher Learning
Plano, TX
03.2022 - Current
  • Resolved members' concerns, dissatisfaction, and inquiries with strong verbal and negotiation skills through Zendesk.
  • Investigated technical bugs and provided QA testing for LMS systems.
  • Configured compatible third-party tools using built-in LTI and API integration fields in the LMS.
  • Worked closely with engineers, using New Relic and Datadog to investigate client issues.
  • Maintained strong client communication and documented bug reports with JIRA.
  • Used Expo to support React Native mobile app development, including uploading client assets and branding.
  • Customized LMS apps by inputting client logos and visuals for mobile deployments.
  • Managed app uploads and approvals on the Google Play Store and the Apple App Store.
  • Maintained knowledge of ongoing code changes, features, bugs, and PCI compliance.
  • Contributed to AI/ML initiatives within the LMS using Python and OpenAI APIs to develop intelligent learner support agents and chat systems.
  • Built proof-of-concept projects around Retrieval-Augmented Generation (RAG) for contextual help and personalized learning recommendations.
  • Applied LangChain and ChromaDB to enable semantic document search and content delivery across different LMS environments.
  • Collaborated with cross-functional teams to test and evaluate LLM integration for dynamic course guidance, onboarding, and support bots.
  • Leveraged TensorFlow for internal experiments on learner behavior prediction and content tagging models.
  • Helped prototype and QA machine learning features that enhanced user interaction.

Member Support Associate

Peloton Interactive
Plano, TX
11.2020 - 01.2022
  • Resolved member concerns with excellent customer service and policy knowledge
  • Handled sensitive account information with PCI compliance best practices
  • Enhanced productivity and customer service levels by anticipating needs and delivering outstanding support.
  • Implemented changes as needed based upon feedback from customers or management team members.

Manager of Operations

Wizard
Dallas, TX
05.2015 - 01.2020
  • Resolved member concerns with excellent customer service and policy knowledge
  • Oversaw inventory management activities, including ordering supplies as needed.
  • Ensured compliance with relevant laws, regulations, and industry standards related to the operation of the business.
  • Used excellent verbal skills to engage customers in conversation and effectively determine needs and requirements.

Electronics Hardware Sales Associate

Fry's
Plano, TX
11.2014 - 05.2015
  • Specialized in computer hardware/software sales and customer education
  • Exceeded daily sales goals consistently
  • Educated customers on features and benefits of various products available in the store.
  • Assisted customers with product selection, pricing, and availability.
  • Prepared displays for upcoming promotions or special events.

Cashier & Customer Service Representative

Micro Center
Dallas, TX
11.2013 - 11.2014
  • Provided tech guidance and handled customer transactions with professionalism
  • Kept records of purchases; maintained orderly appearance of checkout area; restocked supplies as needed.
  • Issued receipts, refunds, credits or change due to customers.
  • Built and maintained productive relationships with employees.

Education

Public Health - Epidemiology & Infectious

University of Texas
San Antonio
12.2021

Skills

  • Python
  • TensorFlow framework
  • Array computing with NumPy
  • Pandas
  • HyperText Markup Language (HTML)
  • Cascading Style Sheets (CSS)
  • OpenAI API
  • Generative Pre-trained Transformer (GPT)
  • Computer Vision (Image recognition)
  • LangChain framework
  • ChromaDB technology
  • Large language models (LLMs)
  • Natural Language Processing (NLP)
  • Prompt Engineering
  • RAG Systems
  • Git
  • GitHub
  • New Relic
  • Datadog
  • JIRA
  • ZENDESK
  • Microsoft SQL
  • Analytical thinking
  • QA Testing
  • Troubleshooting
  • Communication
  • Team Development
  • Visual Studio Code
  • Technical support
  • Client communication
  • Product testing

Ai/Ml Projects

  • RAG System for League of Legends Counter-Analysis: Built a Retrieval-Augmented Generation app using LangChain and ChromaDB to surface champion counter strategies. Used OpenAI's LLMs for generating adaptive counterplay advice. Indexed documents with ChromaDB and retrieved via custom vector search. Integrated document chunking, prompt tuning, and metadata filtering.
  • Computer Vision Model - Developing a TensorFlow-based computer vision pipeline to classify in-game assets and visuals. Used TensorFlow/Keras for model building and image processing. Included data augmentation and preprocessing workflows. Preparing for integration with a larger analytics dashboard.

Languages

English
Native/ Bilingual
Arabic
Professional

Timeline

QA/Support Engineer

Cypher Learning
03.2022 - Current

Member Support Associate

Peloton Interactive
11.2020 - 01.2022

Manager of Operations

Wizard
05.2015 - 01.2020

Electronics Hardware Sales Associate

Fry's
11.2014 - 05.2015

Cashier & Customer Service Representative

Micro Center
11.2013 - 11.2014

Public Health - Epidemiology & Infectious

University of Texas

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