Sire K.

Key Skills

Software

CVAT

Mindrift

Top Subject Matter

LLM evaluation and prompt reliability

AI training data validation and evaluation pipelines

AI training infrastructure and evaluation processing

Top Data Types

Text

Image

Video

Top Task Types

Classification

Object Detection

Question Answering

Data Collection

Freelancer Overview

Senior Full-Stack / AI Engineer — Handshake AI. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Massachusetts Institute of Technology (MIT) (2026) and Master of Science, Massachusetts Institute of Technology (MIT) (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Senior Full-Stack / AI Engineer — Handshake AI

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Built and supported AI model evaluation workflows for real-time systems, focusing on reviewing model outputs and improving reliability. Developed RESTful APIs and back-end services to enable distributed evaluation processing and structured analysis. Collaborated on prompt optimization initiatives requiring precise feedback loops and analytical review. • Evaluated AI model outputs to assess performance and reliability • Contributed to prompt optimization for improved model behavior • Implemented distributed processing and evaluation tooling back end • Worked with data-intensive workflows involving structured feedback

2025 - Present

Full-Stack Software Engineer — Outlier AI

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Developed internal dashboards and evaluation tools to support AI model assessment workflows. Built scalable back-end services and data pipelines for grading and annotation systems, including caching and performance optimization for asynchronous processing. Performed software evaluation tasks requiring structured analysis and debugging, and supported AI training and validation work with high attention to technical accuracy. • Built evaluation tools for AI model assessment workflows • Developed pipelines for grading and annotation systems • Implemented caching and optimized SQL-based asynchronous data processing • Supported AI training/validation via structured evaluation and debugging

2024 - Present

Software Engineer — Scale AI

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Engineered backend services and processing pipelines for large-scale AI data systems used in software evaluation initiatives. Optimized distributed processing workflows to improve system efficiency and supported infrastructure for AI model training and evaluation. Collaborated with technical teams on debugging, system optimization, and infrastructure reliability tasks. • Supported AI training infrastructure and software evaluation initiatives • Built/maintained processing pipelines for large-scale AI data systems • Optimized distributed processing workflows for efficiency • Partnered with teams on debugging and infrastructure reliability

2023 - 2024

Education

Work History