Ashwini K.

Key Skills

Software

Other

Top Subject Matter

GenAI/RAG systems and enterprise decisioning (RulesEngine/Scheduler services)

RAG-based question answering and content generation for enterprise modernization

AI/data engineering training (big data, AWS)

Top Data Types

Computer Code Programming

Top Task Types

Question Answering

Prompt + Response Writing (SFT)

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

Corelogic (NGS): Implemented RulesEngine and Scheduler services for dispatch team assignment and scheduling. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Technology, IMS Engineering College (2014) and Higher Secondary (12th) Certificate, CBSE (2010). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Question Answering and Prompt + Response Writing (SFT).

Labeling Experience

Canadian Tire Corporation: Implemented and improved a RAG-based system

Question Answering

Built and improved a RAG-based system for an enterprise mainframe modernization effort. Responsibilities included implementing RAG and tuning improvements to enhance the accuracy of generated content over iterative cycles. The work supported reducing time needed for reverse engineering by enabling faster retrieval and response behavior. • Implemented a RAG-based system for Canadian Tire Corporation • Added continuous improvements to the traditional RAG approach to reach ~95+% generated content accuracy • Enabled faster reverse engineering turnaround (3 months down to 2 days) • Supported modernization of legacy codebase alongside the mainframe team

2023 - Present

Corelogic (NGS): Implemented RulesEngine and Scheduler services for dispatch team assignment and scheduling

Question Answering

Implemented and iterated an enterprise RulesEngine and related services intended to drive accurate assignments and automated decisioning. Work involved defining rule logic that affects downstream system outputs and reduces manual intervention in operational workflows. This role was focused on building and improving AI-adjacent “knowledge/decision” components rather than human annotation of datasets. • Implemented the RulesEngine service for assigning dispatch teams based on defined rules • Improved task assignment accuracy and reduced manual intervention by 90% • Built an appointment Scheduler Service using a cluster matching algorithm considering workload, time, distance, and expertise • Refactored Python services and implemented CI/CD to automate deployment and improve performance

2022 - 2023

Quovantis/Amazon/PYSolutions: Big data and AWS training plus internship (AI/data engineering enablement)

OtherPrompt + Response Writing (SFT)

Participated in technical training focused on foundational big data concepts, AWS capabilities, and related development technologies. While the resume does not explicitly describe dataset annotation, these trainings support AI/data work that may include preparing environments and pipelines for ML/AI development. This experience is included only as AI-related training rather than direct labeling. • Completed 3 days of big data training at Quovantis Technology • Completed 3 days of AWS training by Amazon • Completed a 4-month internship at PYSolutions on OpenERP • Applied training outcomes to support subsequent AI/data engineering work

2020 - 2021

Education

Work History