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Schedule Interview NowMy name is Maaz A. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: Amazon Web Services, Back-End Development, Front-End Development, Web Development, Full-Stack Development, etc.. I hold a degree in Bachelor of Science (BS), Master of Science (MS). Some of the notable projects Iโve worked on include: Transforming Video Data into Actionable Insights with AI & Big Data, ๐ ๐ฆ๐ฒ๐ฎ๐บ๐น๐ฒ๐๐ ๐๐ฎ๐๐ฎ ๐ ๐ถ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐, Datalake Architecture, WELLER AI, BuxSwap, etc.. I am based in Richmond, United States. I've successfully completed 7 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
Iโm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
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This architecture processes videos stored in an AWS S3 bucket using a Kubernetes-based Python application that runs a YOLO deep learning model for object detection. The results are stored in a database, then pushed to Kafka for real-time streaming. Databricks with Apache Spark is used for analytics and reporting.
๐น Source & Destination: On-prem SQL Server migrated to Azure SQL Server, leveraging cloud-native scalability & performance. ๐น Synapse Copy Data: Azure Synapse Pipelines used Copy Data Activity for seamless, large dataset migration with minimal disruption & ensured data integrity. ๐น View Mapping: Source views were created to match destination tables, ensuring structured, real-time data mapping & smooth migration. ๐น Efficient & Scalable: Azure's scalability & Synapse tools ensured cost-effective migration & future-ready performance.
๐น IoT Data Capture: IoT devices send data to Azure IoT Hub/Event Hub via MQTT/HTTP. ๐น Real-Time Processing: Azure Stream Analytics processes data to Data Lake (unstructured) & SQL DB (structured). Azure Databricks handles large-scale streaming. ๐น Storage: Data lands in Data Lake, SQL DB & Synapse for analytics. ๐น Analytics: Synapse & Power BI enable real-time insights. ๐น Monitoring: Azure Monitor provides alerts for anomalies. Drive insights & innovation with IoT data!
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Bachelor of Science (BS) in Computer science
2017-01-01-2021-01-01
Master of Science (MS) in Computer science
2023-01-01-2025-01-01