Python LLM Trainer
Turing
Focused on advancing large language model capabilities through reinforcement learning with human feedback and domain-specific task modeling. Designed AI-driven automation to streamline enterprise workflows across Microsoft and ServiceNow platforms.
Key Achievements
Improved LLM task accuracy by 30% across 15+ Microsoft application features
Optimized 25 ServiceNow workflows, increasing efficiency by 40%
Built Complex Reasoning & Agentic models enabling 500+ automated operations
Reduced execution time by 50% for key enterprise tasks
My Role
Fine-tuned LLMs with RLHF and built AI-driven solutions for Microsoft and ServiceNow ecosystems, significantly improving automation and efficiency.
Challenge
Improving LLM accuracy and reasoning for enterprise-grade automation at scale.
Solution
Designed RLHF pipelines and integrated reasoning models tailored for Microsoft and ServiceNow environments.
RLHF Training
Fine-tuned LLMs using reinforcement learning with human feedback to improve reasoning and task performance
ServiceNow AI Integration
Developed AI-driven solutions to optimize workflows and task automation in ServiceNow
Complex Reasoning Models
Created task-specific models enabling large-scale automated operations