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Schedule Interview NowAt Softaims, I have been fortunate to work in an environment that values creativity, precision, and long-term thinking. Each project presents a unique opportunity to transform abstract ideas into meaningful digital experiences that create real impact. I approach every challenge with curiosity and commitment, ensuring that every solution I design aligns not just with technical requirements, but also with human needs and business objectives. One of the most rewarding aspects of my journey here has been learning how to bridge the gap between innovation and practicality. I believe technology should simplify complexity, enhance efficiency, and empower people to do more with less friction. Whether building internal systems, optimizing workflows, or helping bring client visions to life, my focus remains on developing solutions that stand the test of time. Softaims has encouraged me to grow beyond codingโto think about design, communication, and sustainability in technology. I see every project as part of a larger ecosystem, where small details contribute to long-lasting results. My daily motivation comes from collaborating with people who share the same passion for doing meaningful work, and from seeing the tangible difference our efforts make for clients around the world. More than anything, I value the culture of learning and improvement that defines Softaims. Itโs a place where ideas evolve through teamwork and constructive feedback. My goal is to continue refining my craft, exploring new approaches, and contributing to solutions that are not only efficient but also elegant in their simplicity.
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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