Krishna Ishwar Deshmukh

Key Skills

Software

Remotasks

Labelbox

Top Subject Matter

Mathematics

Computer Science & Technology

Science, Technology, Engineering, and Mathematics (STEM)

Top Data Types

Computer Code Programming

Text

Top Task Types

Prompt + Response Writing (SFT)

RLHF

Computer Programming/Coding

Question Answering

Text Generation

Fine-tuning

Freelancer Overview

Training and Placement Representative. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Technology and Master of Technology, Indian Institute of Technology (BHU), Varanasi (2023) and Higher Secondary Certificate, ROTatyasaheb Jr. College of Arts, Science and Commerce (2023). AI Math Reasoning Specialist (Project Whitebeard) During your tenure on the Whitebeard project at Outlier.ai, you functioned as a Subject Matter Expert (SME) in Mathematics and STEM reasoning, contributing to the development of advanced Large Language Models (LLMs). Key Contributions & Experience: High-Volume Task Completion: Successfully completed 36 specialized tasks focused on training AI models to produce more accurate and logically sound mathematical responses. RLHF & SFT Implementation: Applied Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) techniques to refine the model's problem-solving capabilities. Logical Verification: Evaluated and corrected complex, multi-step mathematical proofs, identifying subtle hallucinations and ensuring logical consistency in the model's output. Chain-of-Thought (CoT) Optimization: Focused on improving the model's "Chain-of-Thought" reasoning, ensuring that AI-generated solutions followed a rigorous, step-by-step academic standard. Domain Expertise: Leveraged advanced knowledge in areas such as Calculus, Linear Algebra, and Discrete Mathematics to provide "Golden Responses" that serve as high-quality training data for the next generation of AI. Technical Skills Demonstrated AI Training: Model Evaluation, RLHF, Prompt Engineering, Hallucination Detection. Mathematics: Advanced Calculus, Algorithmic Logic, Mathematical Proofing. Soft Skills: Technical Writing, Quality Assurance, Analytical Reasoning. Why 36 Tasks is a Strong Milestone In the world of AI training, 36 tasks is a significant sample size. It demonstrates that you have: Consistency: You moved past the "onboarding/trial" phase and became a reliable contributor. Reliability: You maintained your status on a high-tier project long enough to accumulate a substantial volume of work. Efficiency: It shows you are capable of navigating the complex dashboard and specific guidelines of the Whitebeard project at scale.

Labeling Experience

Education

Work History