Muhammad G.

Key Skills

Software

Other

Top Subject Matter

LLM content evaluation and prompt engineering

Engineering data documentation

Annotation Domain Expertise

Top Data Types

Text

Document

Video

Top Task Types

Data Collection

Entity (NER) Classification

Freelancer Overview

AI Research & Tool Integration (Academic / Self-Directed). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, National University of Sciences & Technology (NUST) (2021) and Google AI Essentials Specialization Certificate, Google / Coursera (2026). AI-training focus includes data types such as Text, Document, and Computer Code and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

MIMO Antenna Researcher (Student Project) - National University of Sciences and Technology

VideoEntity (NER) Classification

Student researcher conducting an ongoing MIMO antenna research project with emphasis on performance evaluation. Responsible for structured data collection and analysis of antenna metrics such as S-parameters, ECC, and TARC. Developed reliable data evaluation and quality assurance processes through iterative experimental documentation and reporting. • Collected and analyzed antenna performance data for 5G/6G use cases • Documented and annotated large volumes of simulation outputs for research reporting • Supported experimental iteration by improving measurement and evaluation workflows • Applied structured analytical thinking to validate results and ensure data quality

2024 - Present

AI Research & Application Integration (Self-Directed) - National University of Sciences and Technology

TextEntity (NER) Classification

Researcher and student contributor working on AI tool integration for academic and self-directed projects. Focused on integrating LLM APIs into applications and evaluating generated outputs for accuracy, coherence, and quality. Applied prompt engineering strategies to improve real-world task performance while maintaining responsible AI practices. • Integrated OpenAI and Anthropic APIs into full-stack applications • Performed LLM output evaluation for accuracy and quality across tasks • Used advanced prompting techniques such as few-shot and persona prompting • Documented approaches to support responsible AI development and quality assurance

2024 - Present

MIMO Antenna Research Project (NUST Islamabad)

OtherDocumentData Collection

Conducted structured data collection and created annotated research records from large volumes of simulation outputs. Validated and evaluated antenna performance metrics during iterative experimental work to improve data reliability. Performed data quality assurance to ensure consistent documentation for research reporting. • Annotation of simulation output volumes for reporting • Evaluation and QA of antenna performance metrics • Structured data collection from engineering experiments • Iterative refinement of recorded results

2024 - Present

AI Research & Tool Integration (Academic / Self-Directed)

OtherText

Evaluated LLM-generated text content for accuracy, coherence, and overall quality across multiple tasks. Applied advanced prompting strategies (including few-shot and persona prompting) to elicit reliable outputs for evaluation. Implemented practical workflows that connect prompt + response creation with systematic quality checking. • LLM output quality assessment (accuracy, coherence, quality) • Prompt engineering for improved annotation/evaluation readiness • Multi-task evaluation using structured criteria • QA-oriented iteration to refine outputs and prompts

2024 - Present

Full-Stack Web Developer (Freelance) - Independent (Freelance)

VideoEntity (NER) Classification

Freelance full-stack developer building data-driven web applications for client/project needs using modern web technologies. Responsible for implementing front-end and back-end features, integrating databases, and ensuring reliable data preprocessing and labeling pipelines. Applied strong engineering and problem-solving skills to deliver structured, maintainable solutions in a production-oriented workflow. • Built applications with React, Next.js, and Node.js • Implemented data preprocessing and database management using PostgreSQL and Firebase • Integrated AI-related prompting workflows for application features without performing tutoring or training work • Managed development and deployment using Git and cloud hosting tools

2023 - Present

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Education

Work History