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Afsal Baaqir A

@afsalbaaqira

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Member of Technical Staff at Zoho building Swift mobile SDKs and a scalable help-desk portal.

India

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At Zoho, I architect and maintain feature sets for a scalable help-desk portal and Swift-based mobile SDKs, using modular design and VIPER/Clean Architecture.

I work with designers on responsive UIKit and SwiftUI interfaces, and design REST APIs for mobile integrations. I also use SQLite for offline persistence and caching, and diagnose production performance issues with Xcode Instruments.

At Garrett – Advancing Motion, I built an AWS compliance dashboard with automated alerts that reduced manual reporting effort by 60%. Earlier, at Kaar Technologies, I built a sales forecasting platform that transformed inconsistent CSV data into forecasts using ETL pipelines and a SARIMAX model.

Experience

Work history, roles, and key accomplishments

Current

Member of Technical Staff

Current

Zoho

Sep 2024 - Present (2 years 1 month)

Architected and maintained feature sets for a scalable help-desk portal and Swift-based mobile SDKs, emphasizing modularity, reusability, and VIPER/CLEAN Architecture principles. Collaborated with UX/UI designers to deliver responsive, high-performance interfaces using UIKit and SwiftUI, adhering to Apple's Human Interface Guidelines.

Swift UIKit SwiftUI VIPER Clean Architecture REST APIs SQLite Xcode Instruments

IT Intern

Garrett Motion

Jan 2024 - Jul 2024 (6 months)

Built a real-time AWS compliance dashboard, transforming static reporting into a proactive monitoring system with automated alerts for high-risk resources, reducing manual reporting effort by 60%. Designed one-click remediation templates for AWS resources, enabling teams to instantly bring non-compliant assets into compliance directly from the dashboard.

AWS Power BI Python Amazon SQS Lambda RDS S3

Intern

Kaar Technologies

Nov 2022 - Apr 2023 (5 months)

Built an end-to-end sales forecasting platform capable of ingesting raw, inconsistent sales CSV datasets and automatically transforming them into forecast-ready time series through custom ETL and data-cleaning pipelines. Trained and optimized a custom SARIMAX forecasting model to generate future sales projections while accounting for seasonality, trends, and external business variables.

Angular Machine Learning Flask MongoDB