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 Intelligence 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