Case Study

RLHF for LLMs

Category:

Large Language Models & Alignment Research

Impact:

Sep 2024 – Mar 2025 | Team Leadership

Background

Large Language Models (LLMs) require continuous fine-tuning to align their outputs with human preferences and ethical standards. Reinforcement Learning with Human Feedback (RLHF) has emerged as a critical technique to bridge the gap between raw generative capabilities and reliable, safe, and user-aligned responses. A structured system was needed to curate high-quality training data, design evaluation rubrics, and manage training pipelines across multiple top-tier LLM providers.

Project Goals

Develop a rubric scoring system to evaluate model responses across clarity, coherence, safety, and factual accuracy
Contribute to RLHF training pipelines for OpenAI, Anthropic, and Meta
Lead a distributed engineering team to ensure alignment and quality delivery
Guarantee high-quality data curation for effective RLHF training cycles

Our Approach

Rubric Scoring & Evaluation

Designed a multi-dimensional rubric system for evaluating LLM outputs. Standardized feedback into scalable scoring workflows for consistency.

RLHF Training Pipelines

Contributed to RLHF pipelines used by major LLM providers. Integrated reinforcement learning loops to improve model alignment with human intent.

Team Leadership & Collaboration

Led a team of 7 engineers (Python + SQL) to implement data pipelines, feedback integration, and quality checks. Ensured alignment with client goals through regular syncs and milestone tracking.

Data Curation & Quality Assurance

Oversaw data collection and refinement to maximize training effectiveness. Enforced rigorous QA processes to reduce annotation errors and bias.

Key Results

Built a rubric scoring system for structured evaluation of LLM outputs
Supported RLHF pipelines for OpenAI, Anthropic, and Meta
Led a 7-member engineering team, ensuring delivery of high-quality training datasets
Curated and refined data for more effective reinforcement learning cycles

Technologies Used

Python & SQL

RLHF Frameworks

Annotation Tools

LLM APIs (OpenAI, Anthropic, Meta)

Version Control & Collaboration Tools