Prashant Dwivedi

Work across data engineering, LLM/AI, and API integration initiatives, partnering with cross-functional and IT stakeholders to translate business requirements into technical and AI-enabled solutions. Build and support data pipelines and reporting workflows using Snowflake, AWS, and GCP, with orchestration via Apache Airflow and Google Dataflow.

Delivered AI-driven data solutions and complex API integrations, engineering pipelines in Python across Snowflake, AWS, and GCP. Designed and orchestrated large-scale data integration and processing pipelines using Apache Airflow and Google Dataflow.

Delivered Python-based data engineering and analytics solutions covering ingestion, transformation, and analysis on Snowflake, AWS, and GCP. Led migration of the HRMS system and core business applications to GCP, with Slack integration for automated notifications and workflow updates.

Built an AI-powered content generator using Flask and the OpenAI GPT-3 API, automating content creation for blog posts, web copy, and customer responses. Built and evaluated machine learning models on structured and unstructured data, including LSTM-based time series forecasting with exploratory data analysis in TensorFlow.

Developed Python applications and contributed to backend feature development. Gained hands-on exposure to the software development lifecycle and coding best practices.

Pursued a Bachelor of Technology in Computer Science, gaining a strong foundation in computing and software development.