✅LLM | Generative AI | Lanchains with sql_Agents | Open.ai | Chroma & Pinecone DB | Embedding Techniques | Relational DB’s |Machine Learning | AWS Bedrock with lamma2 models|
✅ML&DL: Hands on with Python by solving real world use cases by using machine learning and deep learning technologies and also applying statistical knowledge on data in order to find insights from data. And also worked with Flask and Fastapi framework to develop frontend. Had some knowledge on cloud deployment
✅Data engineer: Hands on with real industrial application and Automation on data problems with ETL||Data pipelines||Python||AWS S3||AWS Lambda|| AWS Sagemaker||Excel||Tableau||GCP Compute Engine||😊
✅Designed and Build Automated Data pipeline to extract, store, and processes from different
sources for Analytics.
✅proficient in machine learning and deep learning skills for multiple applications
✅Strong coding ability both in producing clean and efficient code as well as debugging and understanding large code bases in python
✅Develop complex code, scripts and Data Pipeline to process structured, semi structured and unstructured Data.
✅Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from
wide variety of data sources using SQL, Python and AWS big data technologies into Data Warehouses.
✅Facilitate data cleaning, wrangling, enrichment and data quality improvements.
✅Data preparations and Data transformation for predictive models.
✅Deploy and automate the predictive and similarity models on cloud.
✅Ensuring that data storage and collection systems meet business requirements and acceptable industry standards
✅Orchestration of Data pipelines using runml_service.