I am an AWS certified machine learning specialist with extensive experience in MLOps, ML and DL.

I have total 5+ years of experience and with in that 4+ being an Machine Learning Engineer.

I have a strong background in data analytics and deep learning, with a focus on fintech,blockchain, and stock market applications. My project portfolio spans diverse domains, and I'm currently focused on LLM and langchain based applications and credit scoring in DeFi blockchain. I excel in software engineering, machine learning, and MLOps, and I'm open to new opportunities in Artifical Engineer, Machine Learning, MLOps engineer.

Reach out to me for networking and collaboration.

Email 📫: shubham77mandowara@gmail.com

Social Media: Linkedin

Programming Languages : Python | Golang

Deep Learnig Tools : Tensorflow | Pytroch | Keras

Open Library : Huggingface | OpenAI

Machine Learning : Scikit-learn | NLTK | Matplotlib | Seaborn | Plotly | Bokeh | SHAP | Pandas | Numpy | Modin | Ray | Pyspac | Pytest | Gensim

Cloud : AWS | GCP

Data Engineering and ETL pipelines: Airflow | Pyspark | Glue | Athena

Data Quering : SQL | NoSQL | GraphQL

Version Control : Github | DVC | gitlfs

Model Developemnt and deployment: AWS Sagemaker | AWS Step Functions and Lambda

Infrastructure as code : Terraform

Database : MySQL | MongoDB | DocumentDB | S3 | EFS | Firestore

MLOps side and other : Docker | AWS | Github actions | MLFlow | Pycaret | FastAPI | RestAPI | Heroku | Streamlit

LLM and AI : OpenAI | VectorDB | Langchain |

Documentation and Task: : Jira | Confluence | notion | miro

Showcase Work : Streamlit | Gradio