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Working from home
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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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shlbatra/README.md

Autodidact learner with a passion of building Machine Learning Systems & Teaching

LinkedIn Website

🚀 Featured Projects

Wake Word Detector using Deep Learning

  • Used Mozilla Common Voice Dataset
  • Integrated Google Speech to Text
  • Achieved 85%+ accuracy

End to end ML Ops pipeline & Real time Inference

  • End-to-end ML model training and deployment
  • Batch and streaming inference

GPT2 Transformer Decoder Model

  • Next word prediction model based on GPT2 paper
  • Deployment on GPU cluster

Transformer Encoder Model

  • Transformer Encoder Model built from Scratch
  • Embedding from Encoder Model used for downstream Topic Classification problem

Sentiment Analysis on AWS

  • Sentiment Analysis model using LSTM
  • Deployed on AWS Sagemaker

🛠️ Technical Skills

Cloud Platforms: GCP, AWS
Databases: IBM DB2, SQL Server, Teradata, BigQuery, RedShift
ML Tools: SageMaker, Vertex, Transformer, Kubeflow
Programming Languages: Python, Bash, SQL
ETL Tools: Informatica, DataProc, DataFlow
Software/Tools: Airflow, Git, Docker, Kubernetes
ML Packages: scikit-learn, numpy, pandas, tensorflow, pytorch

🎓 Certifications

  • ML Engineer (Fourth Brain)
  • Deep Learning Specialization (Coursera)
  • Natural Language Processing Specialization (Coursera)
  • Data Engineering Nanodegree (Udacity)

Pinned Loading

  1. GPT2 GPT2 Public

    Build a GPT2 model from scratch

    Python

  2. Machine-learning-Ops-Deployment-Inference Machine-learning-Ops-Deployment-Inference Public

    ML Pipelines running using Kubeflow

    Python

  3. TriggerWakeWordDetection TriggerWakeWordDetection Public

    Project to identify wake work in Speech

    Jupyter Notebook 1

  4. Udacity_DataEngineering_Projects Udacity_DataEngineering_Projects Public

    Projects using technologies such as PostGres, S3, Spark, Cassandra & Airflow

    Jupyter Notebook

  5. Coursera_DeepLearning Coursera_DeepLearning Public

    Programming Exercises done during Deep Learning Specialization

    Jupyter Notebook

  6. Acquire-Value-Shoppers-Challenge Acquire-Value-Shoppers-Challenge Public

    Project to identify repeat customers in a retail scenario (from Kaggle)

    Python