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C

Caleb Rutto

LLM Fine-Tuning and AI Training (Multiple Clients, Freelance)

USA flagUSA (Remote), Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

Natural Language Processing
Enterprise Chatbots
Fraud Detection

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Fine-tuningFine-tuning

Freelancer Overview

LLM Fine-Tuning and AI Training (Multiple Clients, Freelance). Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Carnegie Mellon University (2015) and Bachelor of Science, University of Nairobi (2013). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Expert

Labeling Experience

LLM Fine-Tuning and AI Training (Multiple Clients, Freelance)

TextFine Tuning
Led fine-tuning of Llama-3 and Mistral-7B large language models for domain-specific NLP tasks across multiple client engagements. Oversaw the AI training process to achieve GPT-3.5-level performance at reduced inference cost. Employed prompt engineering and supervised fine-tuning techniques to improve model outputs for enterprise chatbot and real-time fraud detection systems. • Applied LoRA/QLoRA fine-tuning methodology on text data for custom model adaptation. • Integrated and assessed model updates using open-source evaluation frameworks and user feedback loops. • Configured data pipelines for supervised learning cycles, maintaining high-quality training datasets. • Collaborated cross-functionally with product and analytics teams to meet client-specific AI objectives.

Led fine-tuning of Llama-3 and Mistral-7B large language models for domain-specific NLP tasks across multiple client engagements. Oversaw the AI training process to achieve GPT-3.5-level performance at reduced inference cost. Employed prompt engineering and supervised fine-tuning techniques to improve model outputs for enterprise chatbot and real-time fraud detection systems. • Applied LoRA/QLoRA fine-tuning methodology on text data for custom model adaptation. • Integrated and assessed model updates using open-source evaluation frameworks and user feedback loops. • Configured data pipelines for supervised learning cycles, maintaining high-quality training datasets. • Collaborated cross-functionally with product and analytics teams to meet client-specific AI objectives.

2021 - Present

Education

C

Carnegie Mellon University

Master of Science, Computer Science

Master of Science
2015 - 2015
U

University of Nairobi

Bachelor of Science, Mathematics and Computer Science

Bachelor of Science
2013 - 2013

Work History

I

Independent

Senior ML Engineer & MLOps Consultant

USA (Remote)
2021 - Present
D

DataRobot

Machine Learning Engineer

Boston
2018 - 2020