Fahad S.

Key Skills

Software

Other

Top Subject Matter

Enterprise banking documents

retrieval-augmented generation for customer/workflow automation.

Dental imaging/clinical diagnostics and LLM-assisted medical summarization.

Top Data Types

Document

Text

Video

Top Task Types

Fine-tuning

Diagnosis

Transcription

Classification

Entity (NER) Classification

Freelancer Overview

Artificial Intelligence Engineer (Meezan Bank Limited) — AI/LLM automation, OCR/IDP, and LLM/RAG evaluation for banking . Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, FAST National University (2025) and Intermediate, Govt. Delhi College (2021). AI-training focus includes data types such as Document, Medical, and DICOM and labeling workflows including Fine-tuning, Diagnosis, and Fine Tuning.

Labeling Experience

Artificial Intelligence Engineer - Meezan Bank

TextTranscription

Worked on AI and LLM-powered automation for enterprise banking workflows using NLP, OCR, and Retrieval-Augmented Generation (RAG) techniques. Contributed to MeezanGPT by improving semantic retrieval, prompt orchestration, vector knowledge base evaluation, and hallucination mitigation. Built intelligent document processing pipelines for IDP, structured extraction, and large-scale digitization of banking records while performing LLM evaluation and fine-tuning assessments. • Developed and deployed NLP/RAG automation for banking operations • Optimized semantic retrieval, prompts, and vector knowledge bases for MeezanGPT • Engineered OCR and document AI pipelines for IDP and structured data extraction • Conducted LLM evaluation, fine-tuning assessments, embedding performance analysis, and inference quality optimization

2025 - Present

Artificial Intelligence Engineer (Meezan Bank Limited) — AI/LLM automation, OCR/IDP, and LLM/RAG evaluation for banking workflows.

OtherDocumentFine-tuning

Worked on OCR and document AI pipelines for intelligent document processing, structured data extraction, and large-scale digitization of physical banking records. Supported LLM evaluation workflows including embedding performance analysis, retrieval accuracy benchmarking, and inference quality optimization for domain-specific banking use cases. Contributed to an enterprise RAG assistant by optimizing semantic retrieval, prompt orchestration, vector knowledge base evaluation, and hallucination mitigation.• OCR and IDP extraction for banking documents and record digitization.• Evaluation and benchmarking of retrieval accuracy and embedding performance.• Prompt orchestration and vector knowledge base assessment.• Hallucination mitigation for LLM responses.

2025 - Present

Artificial Intelligence Intern - Agha Khan University Hospital

TextClassificationEntity (NER) Classification

Collaborated with a dental practitioner to develop deep learning models for facial profile classification and oral malocclusion detection. Explored how Large Language Models can generate diagnostic summaries and support automated identification of dental issues. Applied machine learning and model development practices to support clinical-facing AI experimentation. • Built deep learning models for facial and dental diagnostic tasks • Evaluated and iterated on model approaches for classification and detection • Investigated LLM-based workflows for diagnostic summary generation • Supported automation ideas for identifying dental issues using LLMs

2025 - 2025

Artificial Intelligence Intern (Agha Khan University Hospital) — Deep learning for facial profile/malocclusion detection and LLM diagnostic summary automation.

OtherDiagnosis

Developed deep learning models to classify facial profiles and detect oral malocclusion with collaboration from a dental practitioner. Explored using large language models to generate diagnostic summaries and automate identification of dental issues based on available inputs. Built and evaluated model ideas oriented toward clinical-support outputs rather than general software development.• Facial profile classification and oral malocclusion detection modeling.• LLM-based diagnostic summary generation.• Automation of dental issue identification workflows.• Collaboration with clinical domain expert to shape modeling tasks.

2025 - 2025

Education

Work History