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Ananya Sood

@ananyasood

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Computer Science B.S./M.S. focused on cloud database operations, data engineering, AI evaluation, and automation.

Zimbabwe

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What I'm looking for

I want to apply cloud database operations, scalable data pipelines, and AI evaluation to improve reliability, operational efficiency, and decision-making—through automation, validation, and monitoring in data-driven teams.

I’m a Computer Science B.S./M.S. graduate with hands-on experience in cloud database operations & automation, data engineering, AI evaluation, and workflow program evaluation. In my Cloud Database Operations & Automation Intern role at Maximus, I monitored and automated storage compliance and capacity across AWS and Oracle environments, executed change requests across development/testing/production, and supported reliable operations with tasks like RDS backups, migrations, and recovery-focused procedures.

I also strengthen data reliability end-to-end: I migrated legacy SQL/SAS pipelines to Databricks SQL and Python, maintained production datasets for integrity and availability, and automated ETL, validation, and monitoring workflows. Beyond industry work, I build evaluation and verification pipelines in research (LLM evaluation/benchmarking and LLM verification/optimization), and as an AI Trainer I developed validation frameworks to improve data quality and consistency across AI evaluation tasks.

Experience

Work history, roles, and key accomplishments

Current

LLM Evaluation & Benchmarking

Current

University of California, Riverside

Oct 2025 - Present (9 months)

Built automated data ingestion, validation, and normalization pipelines to benchmark 4+ AI platforms across healthcare-focused queries. Designed data quality and reporting workflows to improve data integrity, reproducibility, and analytical access for researchers and healthcare stakeholders.

Python SQL Flask Data Ingestion Data Validation Data Normalization Benchmarking Data Reporting Data Quality

LLM Verification & Optimization

University of California, Riverside

Dec 2025 - Jun 2026 (6 months)

Developed an automated verification pipeline to evaluate AI-generated code transformations using LLVM-based analysis and formal validation techniques. Created monitoring and refinement workflows to identify verification failures, analyze counterexamples, and support reproducible experimentation across optimization categories.

Python LLVM Formal Verification Code Transformations Monitoring

Data Engineering & Evaluation Intern

CDPH

Feb 2026 - May 2026 (3 months)

Migrated legacy SQL and SAS pipelines to Databricks SQL and Python to support cloud database modernization and scalable data processing. Maintained and optimized production datasets and collaborated on automated ETL, validation, and monitoring workflows to improve data reliability.

SQL Python Databricks R ETL Data Validation Data Quality Data monitoring

AI-Assisted Analytical Modeling

University of California, Riverside

May 2025 - May 2026 (1 year)

Coordinated automated data processing and validation workflows to improve the efficiency and reproducibility of computational research. Built Python-based hypothesis-testing and performance evaluation pipelines and communicated research methodologies, findings, and recommendations across technical and non-technical teams.

Python Git Hypothesis Testing Performance Evaluation Data Processing Data Validation

AI Trainer

Handshake AI

Nov 2025 - Jan 2026 (2 months)

Improved data quality and evaluation consistency by developing validation frameworks and standardized review workflows across AI evaluation tasks. Performed large-scale auditing and quality assurance on AI-generated outputs and identified recurring failure patterns to recommend process improvements.

AI Evaluation Data Quality Assurance Validation Data Auditing Data Annotation

Cloud Database Operations Intern

Maximus

Jun 2025 - Sep 2025 (3 months)

Monitored and automated storage compliance and capacity across AWS and Oracle environments, building an auditing module to track utilization and health across cloud storage resources. Executed change requests supporting RDS backups, imports/exports, and database migrations to maintain operational continuity.

Python AWS Config AWS Oracle Capacity Planning RDS Backup and Restore Database Migration ServiceNow Jira Lucidchart Auditing

Product Management Intern

Maximus

Jun 2023 - Aug 2023 (2 months)

Translated stakeholder requirements into Jira epics, user stories, acceptance criteria, and validation workflows to improve release quality and deployment readiness for workflow-system releases. Led issue tracking and resolved UAT defects and blockers through coordinated testing and collaboration with Engineering and QA.

Jira User Stories Acceptance Criteria UAT Issue Tracking Test Planning Cross Functional Collaboration Agile Scrum

Education

Degrees, certifications, and relevant coursework

University of California, Riverside

B.S. + M.S. in Computer Science, Computer Science

2022 - 2026

Grade: Undergrad GPA: 3.8 (Cum Laude); Grad GPA: 3.9

Activities and societies: BCOE Chancellor’s Honors List (Fall 2022 - Spring 2026)

Completed a B.S. + M.S. in Computer Science at the University of California, Riverside (Fall 2022–Spring 2026). Earned GPAs of 3.8 (undergrad, Cum Laude) and 3.9 (grad).