Debiprasad B.

Key Skills

Software

Other

Top Subject Matter

Clinical research

medical datasets

AI pipeline preparation

Top Data Types

Text

Document

Top Task Types

Diagnosis

Prompt + Response Writing (SFT)

Freelancer Overview

Software Engineer (Backend/Microservices) in Contract Review, Compliance, and Legal Research. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Azure DevOps and Other. Education includes Bachelor of Technology, Biju Patnaik University of Technology. AI-training focus includes data types such as Medical, DICOM, and Computer Code and labeling workflows including Diagnosis and Prompt + Response Writing (SFT).

Labeling Experience

AI-assisted development using LLM tools during Medpace research engineering (March 2025 – September 2025)

OtherPrompt + Response Writing (SFT)

Experimented with AI-assisted development workflows and modern LLM tools to accelerate prototyping and debugging activities during the same research engineering engagement. This included using LLM tooling to generate, evaluate, and iterate on solutions in support of internal platform enhancements. The intent was to speed up engineering tasks analogous to AI training/finetuning support workflows. • Used AI-assisted development workflows and modern LLM tools to accelerate prototyping. • Applied LLM tools to support debugging and solution development. • Collaborated with engineers and research teams to enhance internal platforms. • Troubleshot application issues and improved system performance with AI-assisted iteration.

2025 - 2025

Research Engineer at Medpace Clinical Research India (March 2025 – September 2025)

Diagnosis

In a clinical research engineering role, built data processing pipelines for large-scale medical datasets to support downstream AI model development. The work involved preparing and automating medical data handling steps required for creating reliable training inputs. Focus included validating and transforming data for analysis and model readiness. • Built data processing pipelines for large-scale medical datasets. • Developed backend workflows for automation and data handling. • Improved system efficiency via optimized processing and analysis pipelines. • Used Azure DevOps to collaborate in an Agile research environment.

2025 - 2025

Education

Work History