Purnananda M.

Key Skills

Software

Don't disclose

Top Subject Matter

Medical diagnosis / healthcare AI

Digital design / sequential logic training

Top Data Types

Image

Document

3D Sensor

Top Task Types

Diagnosis

Freelancer Overview

MediSolve – A Medical Diagnosis System (project). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Technology, Siksha 'O' Anusandhan University (2025) and Higher Secondary Certificate, St. Xavier High School (2021). AI-training focus includes data types such as Medical, DICOM, and Computer Code and labeling workflows including Diagnosis, Computer Programming, and Coding.

Labeling Experience

MediSolve – A Medical Diagnosis System (project)

Don't discloseDiagnosis

Built a machine learning-based medical diagnosis system based on input symptoms. The work involved preparing clinical symptom-related data for model training and evaluating disease prediction outputs for medical diagnosis use cases. The experience focused on applying AI techniques to transform symptom signals into disease-level predictions. • Trained or configured an ML pipeline to predict potential diseases from symptoms • Prepared symptom-to-diagnosis training data suitable for supervised learning • Validated diagnosis predictions against expected outcomes or labels • Iterated on preprocessing and model setup to improve diagnostic accuracy

2025

Internship & Job Preparation 4-Stage Ring Counter – Internshala Trainings

Don't disclose

Completed a course/project during an internship and job preparation program focused on designing a sequential logic circuit. The activity required working through technical specifications and implementing a 4-stage ring counter design as part of digital design learning. While not an AI labeling role, it reflects structured training in technical problem-solving relevant to building labeled/annotated datasets and model components in software workflows. • Built a 4-stage ring counter circuit to demonstrate sequential logic • Implemented design concepts based on digital circuit requirements • Practiced iterative troubleshooting of design behavior • Learned digital design principles applicable to engineering AI systems

2023

Education

Work History