Ankur Kakadiya

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Question Answering

RLHF

Fine Tuning

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I bring over a decade of experience as a systems architect and subject matter expert in investment management and capital markets, with a strong focus on AI-driven solutions and data-centric projects. My background includes designing and implementing advanced training programs that translate complex financial concepts into actionable insights for technical teams, ensuring high-quality data labeling and annotation for AI models. I have developed deep reinforcement learning engines to predict investor behavior and created frameworks that bridge AI logic with capital markets data, demonstrating my ability to structure, validate, and annotate financial datasets for machine learning applications. My expertise in instructional design, regulatory compliance, and hands-on experience with digital investment platforms enables me to deliver precise, context-rich training data that drives successful AI and FinTech initiatives.

Labeling Experience

STEM - Finance & Economy - Rubrics Weightage Expert - AI - Evaluation

Scale AITextQuestion AnsweringRLHF

As a Subject Matter Expert (SME) specializing in STEM Finance and Economy, I lead the critical evaluation and fine-tuning of frontier Large Language Models (LLMs) through high-complexity data labeling and annotation workflows. Operating within the Remotasks ecosystem, this project focuses on Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) to ensure AI systems deliver architecturally sound, mathematically accurate, and regulatorily compliant financial intelligence. Core Responsibilities & Technical Workflows: Prompt & Response Engineering (SFT): I architect complex financial prompts that simulate real-world institutional scenarios, including stochastic volatility modeling, GARCH-constrained simulations, and decentralized market dynamics. I then write or refine "Golden Responses" that serve as the ground-truth for model training. Rubrics Weightage & Evaluation: Leveraging my STEM-heavy background, I apply rigorous rubrics to evaluate model-generated out

As a Subject Matter Expert (SME) specializing in STEM Finance and Economy, I lead the critical evaluation and fine-tuning of frontier Large Language Models (LLMs) through high-complexity data labeling and annotation workflows. Operating within the Remotasks ecosystem, this project focuses on Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) to ensure AI systems deliver architecturally sound, mathematically accurate, and regulatorily compliant financial intelligence. Core Responsibilities & Technical Workflows: Prompt & Response Engineering (SFT): I architect complex financial prompts that simulate real-world institutional scenarios, including stochastic volatility modeling, GARCH-constrained simulations, and decentralized market dynamics. I then write or refine "Golden Responses" that serve as the ground-truth for model training. Rubrics Weightage & Evaluation: Leveraging my STEM-heavy background, I apply rigorous rubrics to evaluate model-generated out

2024 - 2025

Education

Work History