Mohsin A.

Key Skills

Software

AWS SageMaker

Label Studio

Internal/Proprietary Tooling

Top Subject Matter

LLM performance tuning and evaluation workflows

ML automation

model training/deployment pipelines

Top Data Types

Text

Image

Document

Top Task Types

Fine-tuning

Polygon

Bounding Box

Classification

Entity (NER) Classification

Text Generation

RLHF

Text Summarization

Question Answering

Object Detection

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

Function Calling

Evaluation/Rating

Transcription

Freelancer Overview

AI/LLM Engineer, Hubble42. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenAI API and Selenium. Education includes Bachelor of Science, University of Central Punjab (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning, Fine Tuning, and Computer Programming.

Labeling Experience

AI/LLM Engineer, Hubble42

Fine-tuning

Worked on LLM-focused development tasks aimed at improving model performance and accuracy for production use. Contributed to analysis and optimization of OpenAI projects, including refining and reviewing codebases for deployment quality and efficiency. Performed model improvement activities consistent with evaluation and tuning workflows rather than manual annotation. • Optimized OpenAI project performance and accuracy • Built LangChain-based applications with GPT APIs and LLM fine-tuning approaches • Reviewed/refined codebases for deployment best practices • Ensured efficiency improvements in model deployment pipelines

2025 - Present

AI Automation Intern, Digital Elite.dev

Developed automation and ML workflow components using Python and common ML libraries to streamline end-to-end processing. Built and deployed machine learning models to support automated testing and pipeline execution using Selenium. The role emphasized training/automation of ML systems rather than manual data annotation. • Developed Python/TensorFlow/Scikit-learn automation scripts • Built and deployed ML models to support automated workflows • Used Selenium to test pipelines • Streamlined ML workflow execution for efficiency

2024 - 2025

Education

Work History