Muhammad N.

Key Skills

Software

Other

Top Subject Matter

Document data extraction and dataset preparation (for AI/ML pipelines)

Conversational AI

ML training/evaluation

Top Data Types

Document

Text

Image

Top Task Types

Text Generation

Transcription

Freelancer Overview

AI/ML Engineer with over two year of experience building LLM and RAG-based conversational solutions. Expert in designing and automating robust Python data pipelines for efficient processing. Highly skilled in Model training, evaluation, and hyperparameter tuning. Experienced in comprehensive data labeling and structuring datasets to improve model performance and reliability. Proficient in developing computer vision applications and integrating them into production environments. Strong foundation in CS fundamentals, including data structures, algorithms, and object-oriented programming. Driven to deliver scalable, high-impact AI products through technical expertise and strategic business alignment.

Labeling Experience

KnowaTech Lahore, Pakistan — Associate AI/ML Engineer

OtherText

Built and deployed chatbot and conversational-AI solutions using NLP to interpret user queries and generate automated responses. Trained and evaluated machine-learning models by running experiments and tuning performance to support AI product features. Developed data-collection and preparation workflows by sourcing, cleaning, and structuring datasets for model training. Contributed computer-vision components for image detection and recognition tasks as part of AI solution development. • Trained ML models with experimentation and tuning • Evaluated model performance for AI product features • Prepared structured training datasets (sourcing, cleaning, structuring) • Implemented NLP chatbot responses for user queries

2025 - 2026

Data Extraction Specialist Intern - Remote

TextTranscription

Designed and automated end-to-end Python data pipelines that converted unstructured documents and raw spreadsheets into clean, structured datasets. Extracted text, tables, and key fields from PDFs, Word documents, and scanned materials using OCR and document-parsing libraries. Processed, cleaned, and validated large CSV and Excel datasets using data wrangling and schema mapping before exporting to CSV and JSON. • Built Python ETL pipelines for document and spreadsheet transformation. • Implemented multi-library extraction for PDFs, Word, and scanned documents. • Applied data cleaning, deduplication, normalization, and type-casting. • Exported analysis-ready datasets to CSV and JSON formats.

2022 - 2022

Remote Lahore, Pakistan — Data Extraction Specialist (Internship)

OtherDocumentText Generation

Created automated data extraction pipelines that converted unstructured documents and raw spreadsheets into clean, analysis-ready datasets for downstream AI use. Extracted text, tables, and key fields from PDFs, Word documents, and scanned files using OCR and document parsing tools. Processed, cleaned, normalized, deduplicated, and schema-mapped large CSV/Excel datasets before exporting to CSV/JSON. • Extracted text/tables/fields from PDFs and documents • Applied Tesseract OCR to scanned content • Cleaned and validated datasets (deduplication, type-casting, normalization) • Exported structured outputs to CSV/JSON

2022 - 2022

Education

Work History