Ujjal Victor

Key Skills

Software

AWS SageMaker

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Medical Dicom

Top Label Types

Bounding Box

Relationship

Classification

Text Generation

Fine Tuning

Freelancer Overview

I am a software engineer with hands-on experience in AI integration, automation, and data-driven healthcare solutions. My work has focused on developing and implementing AI-powered tools for clinical decision support, where I collaborated on projects that integrated Electronic Medical Records and automated clinical workflows. I am skilled in Python, the MERN stack, and AWS, and have leveraged these technologies to streamline data processing, optimize infrastructure, and enhance data security. My background includes automating data pipelines, conducting data analysis for performance tracking, and contributing to projects that require precise data annotation and management, particularly in the medical and logistics domains. I am passionate about building robust, scalable systems that ensure high-quality AI training data and support impactful machine learning solutions.

Labeling Experience

Predictive Healthcare LLM for Medical Risk Forecasting

Aws SagemakerDocumentBounding BoxRelationship

Developed a custom LLM designed to forecast likely medical conditions using a patient’s current health and medical history. The workflow utilized AWS SageMaker for dataset labeling, relational modeling, and insight extraction, enabling the conversion of raw medical records into structured features suitable for LLM training. The resulting model, built for Trivice, supports proactive healthcare by helping clinicians identify potential future risks and plan interventions earlier.

Developed a custom LLM designed to forecast likely medical conditions using a patient’s current health and medical history. The workflow utilized AWS SageMaker for dataset labeling, relational modeling, and insight extraction, enabling the conversion of raw medical records into structured features suitable for LLM training. The resulting model, built for Trivice, supports proactive healthcare by helping clinicians identify potential future risks and plan interventions earlier.

2024 - 2025

Education

Work History