Harshita Ragha
@harshitaragha
I build scalable AI data pipelines and production machine learning platforms.
United StatesWhat I'm looking for
At Comerica Bank, I build distributed AI data pipelines and enterprise RAG applications across GCP and Azure. I improved vector-search query latency by 28% and maintained 99.9% production uptime through Docker, logging, and CI/CD workflows.
Previously at Banner Health, I developed secure ingestion and distributed processing services handling more than 7M customer and operational records daily. I reduced batch-processing time by 30% through SQL, indexing, and schema optimization.
My background spans Python, PySpark, Spark, Kafka, dataset lineage, data quality, and scalable backend systems, with experience delivering high-volume platforms from Loopbell Tech and iConcept Software Services to healthcare and banking environments.
Experience
Work history, roles, and key accomplishments
Gen AI/ML Engineer
Comerica Bank
Nov 2024 - Present (1 year 9 months)
Built distributed data pipelines with Python, PySpark, Apache Spark, and Kafka to ingest, transform, validate, and prepare high-volume enterprise datasets for AI training and evaluation. Tuned dataset storage and retrieval layouts to reduce I/O bottlenecks and developed enterprise RAG applications with vector search, reducing query latency by 28%.
Developed backend data ingestion and distributed processing services using Python, Java, and PySpark ETL pipelines to securely process over 7M+ records daily. Refactored SQL queries and database schemas, leading to a 30% drop in batch-processing time and maintaining 99.4% system reliability.
Data Engineer
iConcept Software Services Pvt. Ltd.
Jan 2020 - Jul 2021 (1 year 6 months)
Engineered scalable backend data ingestion and processing services using Python, Java, and PySpark ETL pipelines, securely handling over 7M+ records daily. Optimized SQL queries and database schemas, achieving a 30% reduction in batch-processing time and maintaining 99.4% system availability.
Data Engineer
Loopbell Tech Private Limited
Jun 2018 - Dec 2019 (1 year 6 months)
Built backend data ingestion services and RESTful APIs using Python, SQL, and Pandas to handle 5M+ daily event logs. Optimized relational database structures in MySQL and PostgreSQL, lowering critical query latency by 15% and streamlining distributed data transformation jobs with PySpark.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Data Science
2021 - 2023
Pursued a Master's in Data Science, focusing on advanced data analytics and machine learning techniques.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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