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sheoran19/README.md

GCP Certified LinkedIn Medium Twitter Views

I don't just move data — I make it trustworthy at scale.

4 years in production data engineering · 2 years building LLM & multimodal AI systems · Currently at Media Quest Group making AdTech smarter with Gemini Pro.

Things I've shipped that actually mattered

Gemini Pro compliance system — 10K+ ad creatives/month, 95%+ accuracy across 4 networks Unified BigQuery warehouse from Google Ads, Meta, TikTok & Bing Rebuilt Airflow DAGs with parallel execution & dynamic generation Automated BI reporting that used to consume an entire analyst's week

What I'm thinking about right now

  • LLM-native pipelines — rethinking data systems from scratch around AI, not just plugging it in
  • Data quality at scale — Great Expectations, dbt tests, and why 99% isn't good enough at 500K records/day
  • Writing the real stuff — tradeoffs, failures, the things nobody puts in their Medium posts

How I build things


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  1. realtime-music-analytics realtime-music-analytics Public

    Symphony Stream: Real-Time Music Analytics Pipeline

    Python

  2. yahoo-airflow-data-engineering-project yahoo-airflow-data-engineering-project Public

    Yahoo Data Pipeline using Airflow

    Python 1

  3. Attendance-Taking-System--Facial-Recognition Attendance-Taking-System--Facial-Recognition Public

    Attendance Marking System Using Facial Recognition

    Python 1

  4. credit-card-defaulter credit-card-defaulter Public

    To build a classification methodology to determine whether a person defaults the credit card payment for the next month.

    Python

  5. Fine-Tuning-BERT-for-Sentiment-Analysis-Pytorch Fine-Tuning-BERT-for-Sentiment-Analysis-Pytorch Public

    Fine-Tuning Bert for Sentiment Analysis using PyTorch and serving it with Flask API

    Python

  6. Helmet-detection Helmet-detection Public

    Helmet detection- Deep Learning Project (Faster RCNN)

    Python