Priya Dharshini E.

Key Skills

Software

Other

Top Subject Matter

Finance operations

capital markets

Reconciliation Domain Expertise

Top Data Types

Text

Document

Top Task Types

RLHF

Freelancer Overview

Google AI Essentials Specialization — Google / Coursera (2026): LLM training/evaluation activities including bias and ha. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Business Administration, GRG School of Management and Studies and Bachelor of Commerce, PSGR Krishnammal College for Women. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

BNY Mellon — Representative, Client Processor (Dec 2019 – Jan 2022): validation/exception resolution akin to data auditing and evaluation for training datasets.

OtherText

Conducted rigorous daily validation of high-volume financial documents and operational data to flag and resolve complex data discrepancies. Applied compliance checks against external and internal standards while maintaining audit-ready records of validated transactional information. Supported exception management workflows by performing deep analytical research to ensure accuracy. • Mutual fund account openings and subscriptions with critical operational documentation • Data validation and discrepancy identification in high-volume environments • Compliance with management company standards, internal risk rules, and procedures • Audit-ready record management and historical data validation

2019 - 2022

State Street (HCL) — Senior Analyst (Aug 2017 – Apr 2019): auditing/validation work aligned to AI-style data evaluation through discrepancy detection.

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Performed auditing and validation of text-based financial and operational data to detect and resolve discrepancies in reconciliation workflows. Ensured audit-ready digital records by checking historical transactional data points and investigating exceptions. Contributed to secure trade settlement by verifying cash breaks and operational logic anomalies. • Cash and position reconciliation for derivatives (futures, swaps, options) • Audited balances across systems, counterparties, and global custodians • Investigated cash breaks and exception/logic errors for resolution • Maintained validated records for compliance and audit readiness

2017 - 2019

Google AI Essentials Specialization — Google / Coursera (2026): LLM training/evaluation activities including bias and hallucination auditing.

OtherTextRLHF

Trained and applied responsible AI practices to assess and improve Large Language Model outputs for financial reasoning and data accuracy. Performed prompt engineering and workflow optimization to identify bias, hallucinations, and structural vulnerabilities in model responses. Focused on evaluating and auditing LLM behavior for corporate compliance and factuality. • Prompt engineering for generative AI workflows • LLM output auditing and fact-checking • Bias identification and hallucination resolution • Responsible AI and evaluation of financial/compliance reasoning

2026

Education

Work History