Ripdamanpreet S.

Key Skills

Software

Surge AI

Appen

Data Annotation Tech

Google Cloud Vertex AI

Top Subject Matter

AI logic evaluation

LLM stress-testing

programmatic validation and quality auditing

Top Data Types

Computer Code Programming

Text

Image

Top Task Types

Data Collection

Transcription

Classification

Computer Programming/Coding

Freelancer Overview

Independent AI Technical Evaluator (Contract) — Advanced Tech Tasking Platforms (Remote). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Computer Applications, Amity University (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Independent AI Technical Evaluator (Contract) — Advanced Tech Tasking Platforms (Remote)

Independently evaluates AI-generated Python scripts by performing structured code review to verify correctness, edge-case constraints, and algorithmic complexity. Applies highly structured grading rubrics and scientific criteria to multi-step logic workflows to maintain consistent audit accuracy. Uses Python-based validation methods with numerical and simulation checks to stress-test LLM outputs and ensure logical alignment with scientific integrity. • Performs deep-dive evaluations of AI-generated code for absolute structural correctness • Assesses edge cases and Big O complexity as part of quality scoring • Builds and applies validation scripts using NumPy and Pandas for scientific calculations • Collaborates asynchronously with a global engineering and academic community to refine evaluations

2025 - Present

Junior Python Developer — InnovaTech Solutions (Remote)

Data Collection

Developed and maintained backend scripts to automate large-scale data extraction, cleansing, and validation pipelines using Python and SQL. Refactored logical bottlenecks in internal codebases to improve pipeline efficiency and response time. Produced clear technical documentation and logical schemas in precise high-level English to support data processing workflows. • Built automation scripts for data extraction, cleansing, and validation pipelines • Isolated and refactored logical bottlenecks to improve processing efficiency by 15% • Authored technical documentation, logical schemas, and codebase comments • Participated in agile sprints and peer-to-peer code reviews to meet technical baselines

2024 - 2025

Education

Work History