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Ridhesh Bhati

@ridheshbhati

Azure AI Engineer at Engineer Master Solutions who built PreCall AI’s call intelligence pipeline with STT, intent detection, RAG, and TTS.

India

Message

At Engineer Master Solutions, I architected and maintained PreCall AI, a call intelligence pipeline that combined STT transcription, intent detection, and TTS response generation. I added a RAG layer grounded in historical call transcripts and knowledge-base data, and prototyped a GraphRAG approach.

I also built Delta Lake ETL/ELT pipelines with PySpark on Databricks, reducing pipeline latency by approximately 30%, and optimized SQL queries at Cognizant Technology Solutions. My work spans applied GenAI and data engineering across Azure and AWS.

Experience

Work history, roles, and key accomplishments

Data Engineer (Contract)

Engineer Master Solutions

Aug 2025 - Aug 2026 (1 year)

Architected and maintained an LLM-powered call intelligence pipeline, integrating STT, intent detection, and TTS. Designed RAG and GraphRAG layers, optimized Azure infrastructure, and built Delta Lake ETL/ELT pipelines reducing latency by 30%.

Python PySpark Databricks Delta Lake AWS Azure GitHub Actions LLM RAG Graph RAG Stts TTS Snowflake ETL ELT Medallion Architecture CI CD

Programmer Analyst Trainee

Cognizant Technology Solutions

Oct 2022 - May 2023 (7 months)

Wrote and tuned SQL queries for enterprise reporting dashboards, reducing execution time by 40%. Built and maintained ETL pipeline modules and reworked database indexing strategies for additional 35% query time reduction.

SQL ETL AWS EC2 S3 RDS CI CD Database Optimization

Programmer Intern

Cognizant Technology Solutions

Jan 2022 - Aug 2022 (7 months)

Worked on the frontend of an insurance claim management system using Angular, building UI components for claim tracking. Connected the app to backend services using SQL and deployed on AWS.

Angular SQL AWS