Tomas Pop

Key Skills

Software

Doccano

AWS SageMaker

Internal/Proprietary Tooling

Other

Top Subject Matter

Fraud Detection (Email Phishing)

Top Data Types

Text

Image

Top Task Types

Classification

Bounding Box

Entity Ner Classification

Object Detection

Fine Tuning

Data Collection

Freelancer Overview

I am a Machine Learning Engineer with a Master’s degree in Software and Data Engineering, specializing in the intersection of high-quality data curation and model performance. My experience in AI training data is grounded in developing production-grade NLP systems, including an anti-phishing engine where I managed modular pipelines processing over 550,000 weekly detections. I bring a deep understanding of the feedback loops required to train robust models, particularly through my research and practical application of Knowledge Distillation from Large Language Models.What sets me apart is my ability to provide data alignment and expert-level feedback based on a technical understanding of Transformer architectures and LLM behavior. Having optimized ML models for a 90%+ reduction in latency, I understand exactly how data quality impacts inference efficiency and system reliability. I am equipped to handle complex data labeling tasks that require not just linguistic fluency, but deep technical insight into Big Data processing and scalable AI infrastructure.

Labeling Experience

Machine Learning Engineer

Aws SagemakerTextClassification

As a Machine Learning Engineer, I contributed to the development and optimization of email anti-phishing solutions at Cisco. My responsibilities included building scalable machine learning infrastructure and collaborating on research initiatives to improve detection capabilities. This role required a deep understanding of ML model optimization, deployment, and efficient real-time processing. • Built a modular library for rapid text-classification deployment, supporting over 550,000 detections weekly. • Reduced ML model inference latency by more than 90% using PyTorch, ONNX, and CUDA on AWS. • Collaborated on a research paper to bridge academic experiments with production systems. • Protected hundreds of millions of emails every week through advancements in phishing detection technologies.

As a Machine Learning Engineer, I contributed to the development and optimization of email anti-phishing solutions at Cisco. My responsibilities included building scalable machine learning infrastructure and collaborating on research initiatives to improve detection capabilities. This role required a deep understanding of ML model optimization, deployment, and efficient real-time processing. • Built a modular library for rapid text-classification deployment, supporting over 550,000 detections weekly. • Reduced ML model inference latency by more than 90% using PyTorch, ONNX, and CUDA on AWS. • Collaborated on a research paper to bridge academic experiments with production systems. • Protected hundreds of millions of emails every week through advancements in phishing detection technologies.

2022 - 2026

Education

Work History