Divinefavour

Key Skills

Software

Other

Google Cloud Vertex AI

Don't disclose

Top Subject Matter

LLM agentic reasoning calibration and evaluation

Dataset curation for LLM fine-tuning and evaluation

LLM training dataset creation and validation

Top Data Types

Document

Text

Top Task Types

Data Collection

Fine-tuning

Text Generation

Segmentation

Classification

Entity (NER) Classification

Transcription

Freelancer Overview

Calibrator, AI Agentic Completions at Turing California (Remote). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, Google Cloud Vertex AI, and Don't disclose. Education includes Bachelor of Science, Rivers State University (2021) and Professional Certificate, Vanderbilt University (2024). AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Senior Prompt Solutions Engineer

TextSegmentationClassification

No description provided.

2026 - Present

Senior Prompt Solutions Engineer - Agentous AI

TextSegmentationClassification

As a Senior Prompt Solutions Engineer, you own the design, governance, and evolution of production AI agent behavior. You translate business and operational workflows into deterministic prompt systems and maintain production-grade prompt frameworks. You build evaluation criteria and reliability harnesses to analyze outputs, debug failure modes, and support high-stakes releases. • Define and govern agent architecture and prompt playbooks • Manage prompt artifacts with version control, JSON schemas, and policy structures • Collaborate on integrations, testing, and release cycles with ML and LLM engineers • Present AI system behavior clearly to executives and lead internal training

2026 - Present

Pod Lead, Python Data Scientists at Turing California (Remote)

OtherData Collection

Led a pod delivering high-quality datasets used for LLM fine-tuning and evaluation, focusing on dataset quality, review, and throughput. Orchestrated end-to-end data and pipeline work for agentic training tasks by aligning data, ML pipelines, and product requirements. Streamlined ingestion of structured and unstructured sources to improve training workflow efficiency. • Owned quality and review of LLM fine-tuning/evaluation datasets • Orchestrated agentic workflow data and pipeline delivery end to end • Improved structured/unstructured data ingestion for training pipelines • Coordinated with engineering teams to increase throughput

2025 - 2026

Calibrator, AI Agentic Completions at Turing California (Remote)

OtherDocument

Evaluated and calibrated LLM outputs for agentic, multi-step reasoning tasks by checking tool use, intermediate steps, and final answers against expected benchmarks. Helped apply consistent quality calibration across diverse agentic workflows by coordinating cross-functional teams and monitoring results. Adjusted processes to improve calibration efficiency and overall model reliability. • Calibrated agentic reasoning quality using performance benchmarks • Audited tool use and intermediate steps for correctness • Coordinated teams to maintain consistent evaluation standards • Identified bottlenecks and improved calibration workflows

2025 - 2026

Python Data Scientist - Turing California

TextEntity (NER) ClassificationTranscription

As a Python Data Scientist, you extract and structure information from PDFs, academic papers, and other unstructured documents. You use OCR and manual parsing to create clean datasets that support LLM training and fine-tuning. You validate and benchmark model outputs against source-of-truth references to maintain pipeline data quality. • Build structured datasets from unstructured documents using OCR and parsing • Evaluate and compare multiple LLMs using explainable AI techniques under NDA • Generate multi-language training datasets (Python, SQL, C++, LaTeX, PHP, Java) • Optimize Python trainer models and automate LLM-driven workflows for higher productivity

2024 - 2025

Show more

Education

Work History