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Jesse Emoghware

Jesse Emoghware

Senior LLM Training Engineer - Turing

NIGERIA flag
Lagos, Nigeria
$10.00/hrExpertV7 LabsLabelboxLabel Studio

Key Skills

Software

V7 LabsV7 Labs
LabelboxLabelbox
Label StudioLabel Studio
CVATCVAT
Snorkel AISnorkel AI
SuperAnnotateSuperAnnotate
EncordEncord
Surge AISurge AI

Top Subject Matter

AI/LLM Training - RLHF, SFT, RLMF
NLP and Computer Vision
Cross-domain AI/ML Models

Top Data Types

TextText
ImageImage
3D Sensor

Top Task Types

RLHF
Fine Tuning
Segmentation
Text Generation
Text Summarization
Computer Programming Coding
Function Calling
Prompt Response Writing SFT
Object Detection
Question Answering
Transcription
Data Collection

Freelancer Overview

Senior Full Stack LLM Engineer. Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Massachusetts Institute of Technology (2022) and MicroMasters, Massachusetts Institute of Technology (MITx) (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF, Segmentation, and Fine-tuning.

ExpertEnglish

Labeling Experience

Senior Full Stack LLM Engineer

TextRLHF
As a Senior Full Stack LLM Engineer at Turing, I led the implementation of model alignment strategies including RLHF/RLMF and Supervised Fine-Tuning. My work focused on optimizing model responses for safety and utility through iterative AI training workflows. I managed data-intensive processes for conversational AI across multi-turn systems in a production-grade environment. • Developed RLHF and SFT pipelines to enhance LLM reliability. • Designed evaluation workflows for persistent context and nuanced responses. • Integrated feedback mechanisms into AI tuning cycles. • Leveraged Python, PyTorch, Hugging Face, OpenAI/Anthropic APIs, and internal orchestration tools.

As a Senior Full Stack LLM Engineer at Turing, I led the implementation of model alignment strategies including RLHF/RLMF and Supervised Fine-Tuning. My work focused on optimizing model responses for safety and utility through iterative AI training workflows. I managed data-intensive processes for conversational AI across multi-turn systems in a production-grade environment. • Developed RLHF and SFT pipelines to enhance LLM reliability. • Designed evaluation workflows for persistent context and nuanced responses. • Integrated feedback mechanisms into AI tuning cycles. • Leveraged Python, PyTorch, Hugging Face, OpenAI/Anthropic APIs, and internal orchestration tools.

2026 - Present

AI Lab Tech Lead — Senior MLOps Engineer

Medical DicomFine Tuning
In my role as AI Lab Tech Lead — Senior MLOps Engineer at AllMedia/UL Solutions, I directed lab-wide fine-tuning and training of AI models across multiple domains. Standardized pipelines for Transformers/Hugging Face with LoRA/QLoRA/PEFT ensured reproducible model iteration and improved accuracy. I implemented rigorous data-quality checks integral to the model training process. • Built and managed model fine-tuning pipelines tracked via MLflow/W&B. • Applied data evaluation contracts and regression harnesses. • Oversaw compliance, lineage, and audit within data labeling flows. • Used PyTorch, Transformers, Hugging Face tools in production environments.

In my role as AI Lab Tech Lead — Senior MLOps Engineer at AllMedia/UL Solutions, I directed lab-wide fine-tuning and training of AI models across multiple domains. Standardized pipelines for Transformers/Hugging Face with LoRA/QLoRA/PEFT ensured reproducible model iteration and improved accuracy. I implemented rigorous data-quality checks integral to the model training process. • Built and managed model fine-tuning pipelines tracked via MLflow/W&B. • Applied data evaluation contracts and regression harnesses. • Oversaw compliance, lineage, and audit within data labeling flows. • Used PyTorch, Transformers, Hugging Face tools in production environments.

2024 - 2025

AI Lab Tech Lead

VideoObject Detection
As AI Lab Tech Lead at Innoson Vehicle Manufacturing, I managed AI training for semantic segmentation and object detection in ADAS sensor fusion systems. My leadership ensured data labeling accuracy and model readiness for real-time perception deployments. Efforts resulted in lower incidents and higher navigation success in automotive ADAS modules. • Oversaw sensor data annotation for camera and LiDAR fusion. • Deployed segmentation pipelines using PyTorch, TensorRT, and ONNX. • Led scenario data generation with CARLA/Gazebo simulations. • Coordinated live model monitoring for drift and regression control.

As AI Lab Tech Lead at Innoson Vehicle Manufacturing, I managed AI training for semantic segmentation and object detection in ADAS sensor fusion systems. My leadership ensured data labeling accuracy and model readiness for real-time perception deployments. Efforts resulted in lower incidents and higher navigation success in automotive ADAS modules. • Oversaw sensor data annotation for camera and LiDAR fusion. • Deployed segmentation pipelines using PyTorch, TensorRT, and ONNX. • Led scenario data generation with CARLA/Gazebo simulations. • Coordinated live model monitoring for drift and regression control.

2022 - 2024

AI / Machine Learning Engineer

AudioRLHF
At Synova Technology Solutions, I engineered and deployed pipelines for SFT and RLHF focused on NLP and CV domains. I standardized preprocessing techniques for robust model training and orchestrated rigorous evaluation harnesses for model uplift. AI training played a central role in achieving up to 40% accuracy improvements in production models. • Managed end-to-end RLHF pipelines in NLP and Vision. • Built and executed standardized AI training workflows. • Conducted model evaluation and validation iterations. • Utilized PyTorch, TensorFlow, Hugging Face, MLflow/W&B in the AI training stack.

At Synova Technology Solutions, I engineered and deployed pipelines for SFT and RLHF focused on NLP and CV domains. I standardized preprocessing techniques for robust model training and orchestrated rigorous evaluation harnesses for model uplift. AI training played a central role in achieving up to 40% accuracy improvements in production models. • Managed end-to-end RLHF pipelines in NLP and Vision. • Built and executed standardized AI training workflows. • Conducted model evaluation and validation iterations. • Utilized PyTorch, TensorFlow, Hugging Face, MLflow/W&B in the AI training stack.

2018 - 2022

Education

M

Massachusetts Institute of Technology

Doctor of Philosophy, Industrial Organization Psychology

Doctor of Philosophy
2018 - 2022
A

Abia State University

Bachelor of Science, Architecture

Bachelor of Science
2014 - 2018

Work History

T

Turing

Senior Full Stack LLM Engineer

Lekki
2026 - Present
T

Turing

Lead Recruiter

Lekki
2024 - Present