Pragadeesh E.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

AI-powered course search and retrieval (RAG/GPT workflows)

Automated testing and quality assurance support for enterprise systems

Machine learning model training and MLOps for stock price prediction

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

Software Engineer, Udemy — AI-powered course search contribution. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Other, and Hugging Face. Education includes Bachelor of Technology, Srm Institute of Science and Technology (2024) and Higher Secondary Education (Class XII), ST.Joseph.Met.Hr.Sec.School (2020). 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

Predict.it — XGBoost training and deployment

Fine-tuning

Trained and optimized an XGBoost machine learning model using historical stock market data to predict future price ranges and market trends. Implemented automated data pipelines to collect, preprocess, and retrain models with updated data. The work also included deploying and managing model versions via Hugging Face and building an MLOps pipeline with GitHub Actions. • Built ML training workflow for XGBoost using time-series stock data • Implemented data collection and preprocessing pipelines for retraining • Integrated Hugging Face hosting for versioning and inference • Created GitHub Actions MLOps to retrain and deploy models

2026 - Present

Software Engineer, Udemy — AI-powered course search contribution

Don't disclosePrompt + Response Writing (SFT)

Contributed to AI-powered course search capabilities by implementing RAG and GPT-based workflows to improve search relevance and content discovery. The work involved prompt engineering and integrating AI components into production search features for an enterprise learning platform. This effort focused on enabling AI-driven information retrieval rather than manual annotation. • Built or integrated Retrieval-Augmented Generation (RAG) pipelines • Designed/implemented prompt engineering for GPT-based models • Connected AI search outputs to course discovery experiences • Supported testing, debugging, and production monitoring for AI features

2025 - Present

Software Engineer Internship, Udemy — automated test suites and defect resolution

Other

Developed and maintained automated test suites for enterprise applications, supporting quality validation during software releases. The role included defect investigation, debugging, test case validation, and release verification rather than dataset annotation. While no explicit AI labeling was described, the work contributed to reliable system behavior for downstream model or data workflows. • Authored automated tests using Karma and Jest • Performed debugging and defect investigation • Validated test cases during release verification • Improved regression coverage and software quality

2024 - 2024

Education

Work History