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A
Abdul W.

Abdul W.

ML/AI Engineer

Pakistan flagLahore, Pakistan

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence (AI) and NLP research
Supervised/Unsupervised learning
Electrical Engineering

Top Data Types

ImageImage
TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Fine-tuningFine-tuning
RLHFRLHF
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

AI and NLP Research Assistant at KICS, UET Lahore. Brings 5+ 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 Science, UET Lahore (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning and Prompt + Response Writing (SFT).

Labeling Experience

ML Engineer at Turing USA

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Performed supervised fine-tuning (SFT) training work for the OS-World project, preparing the system to execute tasks in a Linux environment. Worked on coding/problem-solving datasets for C++ tasks to identify issues and apply solution optimizations. Contributed to iterative improvements of a Google project’s Git-based responses by comparing performance against competitors. • Conducted SFT training for Linux task performance (OS-World) • Analyzed C++ Codeforces solutions, found issues, and optimized model outputs • Improved Git-based response quality in the Google Antigravity project • Worked on Bash-based problems for Terminal Bench with goals to enhance commercial model performance

2025 - Present

AI and NLP Research Assistant at KICS, UET Lahore

Don't discloseFine-tuningFine-tuning

Performed research on AI techniques spanning supervised and unsupervised learning methods, supporting model development workflows that require dataset preparation. Worked on Bayesian theorem-based modeling fundamentals for neural networks that underpin training pipelines. This role functioned as AI training research rather than manual annotation of labeled data. • Investigated search, logical, and probabilistic reasoning approaches • Built Bayesian models used for neural network foundations • Explored supervised/unsupervised algorithmic techniques • Supported ML system development through model-focused experimentation

2022 - 2023

Education

U

UET Lahore

Bachelor of Science, Electrical Engineering

Bachelor of Science
2020 - 2024

Work History

T

Turing USA

Machine Learning Engineer

Lahore
2025 - Present
I

Ingenious Programmer’s Incorporate

Senior Software Engineer and Founding Member

Lahore
2024 - 2025