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M

Mohammad Farhan

AI/ML Software Engineer | Python and C# Expert | AI Automation

United Arab Emirates flagAbu Dhabi, United Arab Emirates
$50.00/hrIntermediateScale AIMicro1Data Annotation Tech

Key Skills

Software

Scale AIScale AI
Micro1
Data Annotation TechData Annotation Tech

Top Subject Matter

AI/ML Model Development
Software Development - AI/ML
Finance and Risk Analysis

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

AI/ML Software Engineer contributing to chatbot data structuring and classification. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Engineering, Anglia Ruskin University (2022). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification.

IntermediateEnglishArabic

Labeling Experience

AI/ML Software Engineer

Computer Code ProgrammingComputer Programming Coding
I contributed to the development of an AI chatbot project designed to digitize and structure patient consultation data. My work included implementing basic NLP input handling and rule-based triage logic to transform raw patient inputs into structured data for downstream review. I supported the integration of healthcare APIs and the validation of chatbot workflows. • Processed and structured patient text data using NLP and rule-based logic. • Tagged and classified entity data related to symptoms, history, and personal details in patient inputs. • Ensured structured data output adhered to healthcare interoperability standards (FHIR). • Collaborated with stakeholders to refine labeling and classification requirements for optimal model performance.

I contributed to the development of an AI chatbot project designed to digitize and structure patient consultation data. My work included implementing basic NLP input handling and rule-based triage logic to transform raw patient inputs into structured data for downstream review. I supported the integration of healthcare APIs and the validation of chatbot workflows. • Processed and structured patient text data using NLP and rule-based logic. • Tagged and classified entity data related to symptoms, history, and personal details in patient inputs. • Ensured structured data output adhered to healthcare interoperability standards (FHIR). • Collaborated with stakeholders to refine labeling and classification requirements for optimal model performance.

2025 - Present

Education

A

Anglia Ruskin University

Bachelor of Engineering, Computer Science

Bachelor of Engineering
2019 - 2022

Work History

C

Capri Healthcare

Software Engineer (AI/ML)

Remote
2025 - Present
S

Siemens

Software Engineer

Ashby-de-la-Zouch
2022 - 2024