shreyjain203 Goto Github PK

followers: 1.0 following: 0.0 repos: 32.0 gists: 0.0

Name: Shrey

Type: User

Bio: Nothing much here as I mostly write code that makes me money.

Location: San Francisco

Hi there 👋

I am Shrey Jain, a Machine Learning Engineer who is interested in creating deep learning models, deployment architecture, microservices, containers, and cloud-native technology. I encourage the use of automation wherever possible and I think that everything can be automated. I want to share everything I've learned throughout my data Journey, which is why I have started contributing actively to Medium blogs to disseminate valuable information to the broader community.

🔭 My Expertise

Programming and Machine Learning: Python, PyTorch, Numpy, Flask, Django, Deep Learning, SpaCy, NLP, Transformers, Large Language Models (LLM)
Cloud Platforms: Google Cloud Platform (BigQuery, GCE, GCS), AWS (Redshift, Athena, EC2, S3)
Containerization and Orchestration: Docker, Kubernetes, Google Kubernetes Engine (GKE)
Web Experimentation: Causal Analysis, A/B Testing, Hypothesis testing, Statistics, Quantitative Analysis, Experimental Design
Database Management: SQL (Postgres, MySQL, MS SQL Server), MongoDB, Hadoop, Hive, Scala, Snowflake
Artifact and Container Registries: Google Artifact Registry, Google Container Registry
Web (REST API) Development: Flask
Data Manipulation and Analysis: Pandas, Excel
Web Scraping and Automation: BeautifulSoup, Selenium, Python Automation
Data Visualization: Looker, Matplotlib, Seaborn, PowerBi, Tableau, Metabase
Version Control: Git, GitHub
Workflow Management: Apache Airflow, Cloud Composer, MWAA (Managed Workflows for Apache Airflow)
Big Data and Distributed Computing: Databricks, pyspark, Data Proc, EMR (Elastic MapReduce)
Others: Slack API, Cron

🌱 I’m currently learning

Machine learning and deep learning techniques to enhance my skills in developing models for various applications.

👯 I’m looking to collaborate on

End-to-end deployment of ML/DL models.
End-to-end design and implement robust data pipelines.

📫 How to reach me:

LinkedIn: https://www.linkedin.com/in/shreyjain203/

GitHub: https://github.com/Shreyjain203/

Gmail: [email protected] | [email protected]

StackOverflow: https://stackoverflow.com/users/11679722/shrey

Instagram: https://www.instagram.com/shreyrerere/

Personal Website: https://shreyjain203.github.io/

Medium: https://medium.com/@shreyjain203

Shrey's Projects

amazon-two-tower-recommendation-system

awesome-android-ui

A curated list of awesome Android UI/UX libraries

charuaroraofficial.github.io

Building business website for a friend

collage_protoype

this is the first step of a mile

corona-eda

An Exploratory data analysis on Corona Database,

cristiano-ronaldo-goal-prediction

An online contest where we have to predict whether Ronaldo is able to make a goal or not based on various factors, and uses some basic probability and pandas library to solve this challenge which is about 87.8% accurate.

cryptoventurescout

customer-churn-analysis

Customer Churn Analysis

eda-projects

face-and-eye-recognition

A python code which recognize face and eye of a person through webcam.

face-unlock

Python project that implements a face unlock system. Can scan and store faces, and verify faces against stored faces.

fragments2

keyboard-player

Sine wave with variable frequency generating by pressing different keys is used to produce tone.

llm-fine-tuning

Just a copy from internet for the reference.

machine-learning-model-to-production-website-using-gke

An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.