S. Kushwah

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Evaluation Rating

Freelancer Overview

I am a junior AI/ML engineer with hands-on experience in building and deploying machine learning models for NLP, computer vision, and business analytics domains. My background includes developing NLP-powered classification systems, such as classifying cybersecurity incidents and performing sentiment analysis, as well as creating deep learning models for medical image classification using CNNs. I am skilled in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and data processing tools like Pandas and OpenCV, which I have used extensively for data preparation, annotation, and preprocessing tasks. I have also built interactive dashboards and web applications to visualize and validate model predictions, ensuring high-quality, production-ready AI solutions. I thrive in fast-paced environments, adapt quickly to new challenges, and am passionate about contributing to projects focused on data labeling, annotation, and AI training data pipelines.

Labeling Experience

Senior Software Developer / AI Evaluation Contributor

AppenComputer Code ProgrammingEvaluation Rating

Evaluated AI-generated code outputs for correctness, performance, and reliability using custom-built testing frameworks. Played a key role in validating LLM-assisted code understanding and model output assessment. Contributed to AI evaluation initiatives for short-term, project-based tasks in a freelance/contract capacity. • Assessed AI responses in English and multi-language codebases (Python, C, Rust, Go) • Used Python, Docker, CI pipelines, and manual review processes • Collaborated with remote teams to ensure robust evaluation standards • Supported cross-language migration workflows with behavioral validation

Evaluated AI-generated code outputs for correctness, performance, and reliability using custom-built testing frameworks. Played a key role in validating LLM-assisted code understanding and model output assessment. Contributed to AI evaluation initiatives for short-term, project-based tasks in a freelance/contract capacity. • Assessed AI responses in English and multi-language codebases (Python, C, Rust, Go) • Used Python, Docker, CI pipelines, and manual review processes • Collaborated with remote teams to ensure robust evaluation standards • Supported cross-language migration workflows with behavioral validation

2021

Education

Work History