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 📫: [email protected]
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