Shreya Balakrishna
@shreyabalakrishna
I build reliable data pipelines, validation workflows, and analytics solutions using Python and SQL.
What I'm looking for
I've built data pipelines, validation workflows, and analytics solutions across Oracle, UMass Amherst, Metropolis Healthcare, and Stockone Technologies.
At Metropolis Healthcare, I constructed SQL-based ETL pipelines processing more than two million transactional rows, automated transformations with Python and AWS Glue, and implemented validation checks with AWS Lambda to improve data integrity.
As a Graduate Researcher at the Information Retrieval Lab at UMass, I developed Python and SQL workflows to preprocess 500,000 conversations, reconcile repeated content, and maintain reliable datasets for reproducible experiments.
I also build production-oriented backend and AI systems, including FastAPI services for codebase querying, Redis-powered real-time messaging, and multi-agent research pipelines using PyTorch, ChromaDB, and QLoRA.
Experience
Work history, roles, and key accomplishments
Designed a gradient-free training framework in Python and implemented data validation procedures to reconcile experimental output inconsistencies. Executed large-scale data pipelines for distributed training and evaluation, troubleshooting performance bottlenecks.
Education
Degrees, certifications, and relevant coursework
University of Massachusetts Amherst
Master of Science, Computer Science
2024 -
Grade: 3.789
Pursuing a Master of Science in Computer Science with a CGPA of 3.789.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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