Moeed Iftikhar

Primarily focused on designing and prototyping MVPs for customer engagement; built an LLM-powered question-answering system for private documents on Discord; set up an IVR system for a hospital using Amazon Lex and Amazon Connect; developed a real-time ingestion system for news with Google Pub/Sub, Dataflow, and BigQuery; created a hospital chatbot using Dialogflow; trained gradient-boosted tree classifiers on Azure Databricks.

Data Engineer at Dream AI Experience

Designed and built MVPs within a software development team, primarily responsible for individually designing and creating MVPs used as prototypes for customer engagement. Led end-to-end data engineering tasks, including ETL pipelines, data integration, and automation. Key projects included an LLM-powered Q&A system with a Streamlit frontend; a Discord-based private-document Q&A system; an IVR hospital solution using Amazon Lex and Amazon Connect; and a retrieval-augmented generation chatbot for a mechanical workshop. Worked with Google Pub/Sub, Dataflow, BigQuery, and Cloud Functions; and built a real-time news summarization workflow using GCP components.

Role focused on database development and management; analyzed requirements for schema design, SQL scripting, and Python scripting; basic frontend and backend concepts; created database schemas; CRUD operations; developed AWS ETL pipelines (IoT Core & DynamoDB); ETL monitoring; granted and revoked access to roles and profiles; built BI reports for Overstock.com.