Abhijat Gupta

Passionate AI&ML Engineer with 11+ years of experience into Custom modelling. Prompt engineer for Google's Generative AI offerings. Fluent in Python and Pandas. Successfully implemented a predictive forecasting model for improving business accuracy & profitability. Expertise in deploying data migration and advanced data-analytics pipelines. Hands-on experience in developing highly optimised and efficient Spark scripts for ETL & Analytics. Expert level experience in migrating applications to Spark framework. Skills/Interests : AI & ML: Custom Modelling, DNN, AutoML, Vertex AI, Dialogflow, Kubeflow Generative AI: Large Language Models: Bison, Gecko. PaLM, PaLM 2, CoLab Engineering: Python 3.x, code design, design patterns, CI/CD, Algorithms. GCP stack: Vertex AI(Training pipelines, Jupyterlab, Feature store, Model registry & Model monitoring), BigQuery, Dataproc, GCS, Composer, Custom Airflow Operators, Pub/Sub, Dataflow, Google Cloud Function, BigTable, Data Studio, Looker Big Data: Apache Spark, Hadoop, Hive, Pig, HDFS Programming & scripting: Python, SQL, PySpark, Pandas Databases: PostgreSQL, MySQL, mongoDB, Cassandra, AlloyDB Orchestration: GCP Kubeflow, GCP Dataflow, Airflow More skills: Azure stack: ADLS Gen2, Delta tables, Delta Live tables, Azure Data Factory, Azure Databricks, Event Hubs, Azure SQL, Cosmos DB Others: ETL, DWH, System Design, Terraform, Docker, Kubernetes, Kafka, etc.