Faheem H.

Key Skills

Software

Don't disclose

Top Subject Matter

Medical AI model evaluation for clinical decision support and remote triage

Primary care clinical documentation and safety-netting workflow using LLM outputs

Medical result interpretation and clinical note generation for GP documentation

Top Data Types

Text

Top Task Types

Text Generation

Diagnosis

Freelancer Overview

Clinical AI Evaluator & Workflow Developer (GP-linked AI evaluation and rubric-based medical output assessment). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Bachelor of Medicine and Bachelor of Surgery, Liaquat University of Medical and Health Sciences and Medical Registration, General Medical Council (GMC). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Text Gen

Labeling Experience

Blood Results Interpretation & EMIS Documentation Assistant (Project)

Diagnosis

Created an AI-assisted workflow for interpreting blood results and generating EMIS-ready clinical notes as structured medical outputs. • Produced urgency stratification (red/amber/green) and safety guardrails for primary care action. • Generated primary-care clinical notes suitable for EMIS documentation workflows. • Added structured administrative summaries and patient messaging content based on results interpretation. • Implemented guardrails aligned with clinical safety and appropriate escalation pathways.

2023 - Present

GP Consultation Assistant (Project): structured labeling/annotation of consultation transcripts into diagnoses and management notes

TextText Generation

Built and specified an AI-supported workflow to analyze anonymized GP consultation transcripts and produce structured clinical outputs. • Labeled/structured outputs for working diagnoses derived from consultation content. • Applied NICE/BNF-informed management and generated GP-style documentation. • Included automated safety-netting and patient-facing explanations as part of the produced outputs. • Ensured outputs supported remote decision support use cases and patient safety checks.

2023 - Present

Clinical AI Evaluator & Workflow Developer (GP-linked AI evaluation and rubric-based medical output assessment)

Don't discloseText

Clinical AI Evaluator work focused on reviewing and judging AI-generated medical outputs for safety and clinical correctness. • Assessed clinical appropriateness, missing red flags, and escalation/escalation errors in model outputs. • Evaluated structured outputs against rubrics and guideline alignment requirements. • Performed hallucination detection and flagged unsafe reassurance or factual inaccuracies. • Converted complex clinical reasoning into structured evaluation-ready formats for decision support. • Used clinician-in-the-loop methods (including RLHF and prompt engineering) to improve evaluation quality.

2023 - Present

Education

Work History