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Sudais Muhammad

Sudais Muhammad

Senior Software Engineer – AI/Python (AI training/Data annotation)

Nigeria flagN/A, Nigeria
$90.00/hrExpertAppenArgillaAws Sagemaker

Key Skills

Software

AppenAppen
ArgillaArgilla
AWS SageMakerAWS SageMaker
ClickworkerClickworker
CrowdSourceCrowdSource
CVATCVAT
Data Annotation TechData Annotation Tech
DataloopDataloop
Google Cloud Vertex AIGoogle Cloud Vertex AI
Figure EightFigure Eight
HiveMindHiveMind
HumanaticHumanatic
Img Lab
LabelboxLabelbox
Kili TechnologyKili Technology
Label StudioLabel Studio
Mighty AIMighty AI
Micro1
MercorMercor
MindriftMindrift
RoboflowRoboflow
RemotasksRemotasks
Scale AIScale AI
SuperAnnotateSuperAnnotate
Surge AISurge AI
TagtogTagtog
TolokaToloka
TelusTelus
Internal/Proprietary Tooling
Trilldata Technologies

Top Subject Matter

AI/ML Data Analytics for Enterprise Applications
Enterprise AI/ML
Privacy-Centric Software Engineering

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Fine-tuningFine-tuning
Data CollectionData Collection
PolygonPolygon
Bounding BoxBounding Box
Entity (NER) ClassificationEntity (NER) Classification
Object DetectionObject Detection
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Red TeamingRed Teaming
RLHFRLHF
Text SummarizationText Summarization
Evaluation/RatingEvaluation/Rating
Function CallingFunction Calling
Question AnsweringQuestion Answering
Text GenerationText Generation
Point/Key PointPoint/Key Point
SegmentationSegmentation
ClassificationClassification

Freelancer Overview

Senior Software Engineer – AI/Python (AI training/Data annotation). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Engineering, Al-Istiqama University Sumaila. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Fine-tuning and Data Collection.

ExpertEnglish

Labeling Experience

Red Teaming and Vulnerability Assessment for Distributed AI Systems

Computer Code ProgrammingRed Teaming
I served as a technical lead in a red-teaming initiative to stress-test an LLM’s understanding of secure system design. My role involved crafting complex adversarial prompts designed to expose flaws in how the model generates infrastructure-as-code (Terraform/Kubernetes). I evaluated model responses for security anti-patterns, such as hardcoded credentials, insecure API configurations, and lateral movement risks in distributed environments. By providing high-fidelity corrections and "gold-standard" secure code samples, I helped fine-tune the model to prioritize the principle of least privilege and zero-trust architecture in its output.

I served as a technical lead in a red-teaming initiative to stress-test an LLM’s understanding of secure system design. My role involved crafting complex adversarial prompts designed to expose flaws in how the model generates infrastructure-as-code (Terraform/Kubernetes). I evaluated model responses for security anti-patterns, such as hardcoded credentials, insecure API configurations, and lateral movement risks in distributed environments. By providing high-fidelity corrections and "gold-standard" secure code samples, I helped fine-tune the model to prioritize the principle of least privilege and zero-trust architecture in its output.

2025 - Present

Supervised Fine-Tuning (SFT) for Fintech API Integration and Documentation

Computer Code ProgrammingPrompt Response Writing SFT
I led a project focused on training an AI to generate high-quality, developer-centric documentation and integration scripts for complex fintech ecosystems. This involved writing "gold-standard" prompt-response pairs that demonstrated how to integrate legacy banking systems with modern, privacy-first SSO (Single Sign-On) services. I provided expert feedback on the model's ability to explain intricate technical concepts such as OAuth2 flows, JWT encryption, and asynchronous payment processing in a clear, actionable manner for senior-level engineers.

I led a project focused on training an AI to generate high-quality, developer-centric documentation and integration scripts for complex fintech ecosystems. This involved writing "gold-standard" prompt-response pairs that demonstrated how to integrate legacy banking systems with modern, privacy-first SSO (Single Sign-On) services. I provided expert feedback on the model's ability to explain intricate technical concepts such as OAuth2 flows, JWT encryption, and asynchronous payment processing in a clear, actionable manner for senior-level engineers.

2024 - Present

Evaluation and RLHF for Quantitative Finance & Privacy-Centric Code Generation

Computer Code ProgrammingRLHF
I provided high-level expert supervision for a Large Language Model (LLM) focused on specialized technical domains. My work involved evaluating the accuracy of model-generated Python code for quantitative finance applications, specifically focusing on the use of Pandas and TensorFlow for financial modeling. I also performed RLHF (Reinforcement Learning from Human Feedback) to improve the model's ability to design privacy-centric digital architectures and zero-knowledge identity systems. The goal was to ensure the AI could produce production-grade, secure, and scalable system architectures that comply with strict data residency and fintech security standards.

I provided high-level expert supervision for a Large Language Model (LLM) focused on specialized technical domains. My work involved evaluating the accuracy of model-generated Python code for quantitative finance applications, specifically focusing on the use of Pandas and TensorFlow for financial modeling. I also performed RLHF (Reinforcement Learning from Human Feedback) to improve the model's ability to design privacy-centric digital architectures and zero-knowledge identity systems. The goal was to ensure the AI could produce production-grade, secure, and scalable system architectures that comply with strict data residency and fintech security standards.

2024 - Present

Senior Software Engineer – AI/Python (AI training/Data annotation)

Fine Tuning
As Senior Software Engineer – AI/Python at DataFlow Systems Ltd (2023–2024), led development of AI-powered data analytics requiring AI model training and real-time data labeling. Designed and maintained machine learning pipelines with code and labeling for enterprise clients. Collaborated closely with teams in integrating labeled training data for SaaS platforms. • Trained and fine-tuned models using real-world enterprise data • Evaluated and optimized AI outputs for accuracy and relevance • Implemented labeling workflows in Python using TensorFlow and PyTorch • Mentored team in data pipeline best practices and code optimization.

As Senior Software Engineer – AI/Python at DataFlow Systems Ltd (2023–2024), led development of AI-powered data analytics requiring AI model training and real-time data labeling. Designed and maintained machine learning pipelines with code and labeling for enterprise clients. Collaborated closely with teams in integrating labeled training data for SaaS platforms. • Trained and fine-tuned models using real-world enterprise data • Evaluated and optimized AI outputs for accuracy and relevance • Implemented labeling workflows in Python using TensorFlow and PyTorch • Mentored team in data pipeline best practices and code optimization.

2023 - 2024

Chief Operating Officer (Oversaw ML training/data annotation)

Fine Tuning
As Chief Operating Officer at Sophbrant Inc. (2021–2022), oversaw engineering teams implementing machine learning pipelines. Managed technical integration and supervised AI training with annotated enterprise data for predictive analytics. Collaborated on deploying and evaluating AI labeling workflows for SaaS platforms. • Coordinated fine-tuning activities using labeled customer datasets • Reviewed outputs for quality and compliance • Led documentation for training data and annotation processes • Supported backend code contributions for ML training pipelines.

As Chief Operating Officer at Sophbrant Inc. (2021–2022), oversaw engineering teams implementing machine learning pipelines. Managed technical integration and supervised AI training with annotated enterprise data for predictive analytics. Collaborated on deploying and evaluating AI labeling workflows for SaaS platforms. • Coordinated fine-tuning activities using labeled customer datasets • Reviewed outputs for quality and compliance • Led documentation for training data and annotation processes • Supported backend code contributions for ML training pipelines.

2021 - 2022

Education

A

Al-Istiqama University Sumaila

Bachelor of Engineering, Software Engineering

Bachelor of Engineering
2018 - 2022

Work History

S

SSM LLC

Chief Technology Officer

N/A
2024 - Present
G

Global Research Networks

Technical Consultant

N/A
2020 - Present