Pooja K.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

AI/LLM training data evaluation and code generation (C# backend context)

Software development fundamentals relevant to AI training data quality (code correctness/edge cases)

Top Data Types

Computer Code Programming

Text

Top Task Types

Computer Programming/Coding

Function Calling

Question Answering

Text Generation

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

.NET Backend Developer with stated focus on producing high-quality training data and evaluating AI-generated code using . Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Computer Applications, Bhilai Institute of Technology (2023) and Bachelor of Computer Science, Govt. D.B. Girls College (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT), Computer Programming, and Coding.

Labeling Experience

.NET Backend Developer with stated focus on producing high-quality training data and evaluating AI-generated code using Anthropic Claude tooling.

Don't disclosePrompt + Response Writing (SFT)

Worked on producing production-grade backend services while applying AI/LLM tooling skills to evaluate and refine AI-generated code samples. Focused on aligning outputs with specifications through code review, debugging, and refactoring practices that translate to creating high-quality training inputs. Used knowledge from Anthropic certifications to support high-quality data generation and evaluation workflows. • Integrated and reviewed large volumes of C# code using SOLID, async/await, and dependency injection. • Refactored and performed static analysis with SonarQube and ReSharper to improve maintainability and reduce technical debt. • Improved system performance using lightweight Dapper queries and query optimization. • Collaborated with QA, frontend, and business analysts in Agile sprints to ensure correctness of backend behavior and requirements.

2024 - Present

Software Developer Intern; built testable, secure backend modules and debugged code to support later AI training-data quality practices.

Don't disclose

Developed backend modules and wrote unit tests, building strong foundations for creating accurate training data related to code behavior. Performed debugging and edge-case analysis to improve the quality and correctness of generated or expected code outputs. This experience supports later AI code-evaluation and refinement tasks in software-generated training content. • Implemented authentication, role-based access control, and CRUD operations using secure coding practices. • Designed relational schemas and optimized stored procedures for performance and data consistency. • Wrote unit tests and debugged C# code across multiple modules, emphasizing error handling. • Used Git and Agile methodology to deliver reliable feature enhancements and bug fixes.

2023 - 2024

Education

Work History