Paul L.

Key Skills

Software

Don't disclose

Top Subject Matter

Scalable machine learning

distributed machine learning

AI optimization

Top Data Types

Computer Code Programming

Video

Image

Top Task Types

Data Collection

Fine-tuning

Segmentation

Computer Programming/Coding

Freelancer Overview

Research Assistant – Computer Science Department (Massachusetts Institute of Technology). Brings 3+ 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 Master of Science, University of California, Berkeley (2025) and Bachelor of Science, University of Nairobi (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning, Computer Programming, and Coding.

Labeling Experience

Research Assistant – Computer Science Department (Massachusetts Institute of Technology)

Don't discloseFine-tuning

Conducted research on scalable machine learning architectures with a focus on optimizing distributed machine learning systems. Applied engineering and research practices to improve model efficiency for enterprise deployment scenarios. The work involved developing and evaluating ML-related computational modules rather than manual data annotation. • Optimized distributed machine learning systems for efficiency and scalability • Improved model efficiency by 25% through scalable ML architecture research • Developed distributed computing modules using Python and containerized environments • Collaborated in high-performance computing labs and supported technical documentation

2023 - 2024

Software Engineering Intern (Google LLC)

Built backend services and optimized data storage/query performance to support high-traffic application workflows. While not explicitly data labeling, the role included performance engineering of data queries and indexing in support of data-driven systems. No explicit annotation or labeling tasks are described in the resume. • Developed secure backend APIs for high-traffic applications • Optimized database indexing and query performance, reducing response time by 30% • Supported reliability via automated testing and code reviews • Participated in Agile sprint cycles for iterative delivery

2022 - 2022

Education

Work History