We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowAt Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.
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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.
🔹 Source & Destination: On-prem SQL Server migrated to Azure SQL Server, leveraging cloud-native scalability & performance. 🔹 Synapse Copy Data: Azure Synapse Pipelines used Copy Data Activity for seamless, large dataset migration with minimal disruption & ensured data integrity. 🔹 View Mapping: Source views were created to match destination tables, ensuring structured, real-time data mapping & smooth migration. 🔹 Efficient & Scalable: Azure's scalability & Synapse tools ensured cost-effective migration & future-ready performance.
🔹 IoT Data Capture: IoT devices send data to Azure IoT Hub/Event Hub via MQTT/HTTP. 🔹 Real-Time Processing: Azure Stream Analytics processes data to Data Lake (unstructured) & SQL DB (structured). Azure Databricks handles large-scale streaming. 🔹 Storage: Data lands in Data Lake, SQL DB & Synapse for analytics. 🔹 Analytics: Synapse & Power BI enable real-time insights. 🔹 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