Adnan B.

Key Skills

Software

Other

iMerit

Top Subject Matter

Healthcare AI (cardiac and fall detection)

Machine learning for spoilage prediction (IoT/Green Computing research)

Database-backed health data management

Top Data Types

3D Sensor

Text

Image

Document

Top Task Types

Diagnosis

Fine-tuning

Data Collection

Classification

Freelancer Overview

Healthcare AI & IoT System (Cardiac & Fall Detection) — Present. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and iMerit. Education includes Bachelor of Science, United International University (2023). AI-training focus includes data types such as 3D Sensor, Computer Code, and Programming and labeling workflows including Diagnosis, Fine-tuning, and Data Collection.

Labeling Experience

Data Annotator — Imerit Scholars — Present

iMeritImageClassification

Performed image dataset processing and labeling to support machine learning models and data pipelines. Followed strict project guidelines to maintain data integrity and labeling accuracy for downstream analysis. • Labeled images with high precision for ML training and evaluation. • Ensured compliance with project labeling standards. • Maintained data integrity and accuracy for subsequent pipeline steps. • Supported downstream analysis through consistent dataset preparation.

Present

Nutri-Track: Health Data Management System — Present

OtherTextData Collection

Managed data handling for a health-diet tracking system by designing and maintaining structured storage for nutritional datasets and user logs. Ensured consistent backend tracking across user sessions using relational database design and integrity constraints. • Designed a relational SQL schema to store nutrition datasets and user logs. • Implemented backend logic to support consistent tracking across sessions. • Maintained data integrity for reliable diet-related records. • Enabled accurate storage and retrieval of complex nutritional information.

Present

Predictive Data Modeling: Spoilage Prediction System — Present

OtherFine-tuning

Built a predictive analytics system that estimated mango spoilage timelines from environmental variables. Cleaned and pre-processed training datasets in Python to improve data quality for model performance. Evaluated model accuracy and analyzed error rates to refine prediction logic. • Developed a predictive model for estimating spoilage timelines. • Performed training-data cleaning and pre-processing in Python. • Assessed accuracy metrics and reviewed error patterns. • Optimized prediction logic based on quantitative evaluation results.

Present

Healthcare AI & IoT System (Cardiac & Fall Detection) — Present

Other3D SensorDiagnosis

Analyzed real-time physiological time-series data streams from ECG and BPM to detect anomalies and threshold breaches. Converted raw sensor inputs into actionable healthcare alerts using an AI-driven fall detection algorithm. Focused on data processing and quality handling for downstream monitoring and alerting pipelines. • Processed continuous time-series data with Python for anomaly identification. • Applied threshold-based rules to detect abnormal heart-rate conditions. • Integrated an AI-driven fall detection algorithm with sensor inputs. • Produced alert outputs suitable for continuous patient monitoring workflows.

Present

Education

Work History