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Maaz A. - Fullstack Developer, Data Science, Data Analysis

At 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.

Main technologies

  • Fullstack Developer

    3 years

  • Amazon Web Services

    1 Year

  • Back-End Development

    2 Years

  • Front-End Development

    2 Years

Additional skills

  • Amazon Web Services
  • Back-End Development
  • Front-End Development
  • Web Development
  • Full-Stack Development
  • Software Architecture
  • ETL Pipeline
  • Snowflake
  • Microsoft Azure
  • Google Cloud
  • Machine Learning
  • Deep Learning
  • Data Engineering
  • Data Science
  • Data Analysis

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Potentially possible

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Experience Highlights

Transforming Video Data into Actionable Insights with AI & Big Data

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.

🔄 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗗𝗮𝘁𝗮 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 🚀

🔹 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.

Datalake Architecture

🔹 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!

WELLER AI

Weller AI is a collection of 999 NFT which was minted on Oct 17, 2022 at the price of 0.2 ETH.

BuxSwap

As the prevalence of off-chain tokens within the Defi space grows, the need for a decentralized exchange has become more and more important. Introducing BuxSwap, the first cross-platform NFT token exchange that bridges the gap between on-chain and off-chain tokens.

Education

  • DHA Suffa University

    Bachelor of Science (BS) in Computer science

    2017-01-01-2021-01-01

  • The University of Texas at Austin

    Master of Science (MS) in Computer science

    2023-01-01-2025-01-01

Languages

  • English

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