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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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I am the lead developer of 99Gens, an innovative platform that combines AI technology and creative expression to offer unique and personalized products to customers. I designed and implemented the entire backend of the platform, integrating different AI models to enhance the user experience. One of the models I integrated is Stability AI, which is used for text-to-image generation. I also implemented Super Resolution models to improve the quality of images used in the designs. Additionally, I designed a custom image processing model that is the heart of the product, providing users with high-quality, personalized designs. As part of the development process, I integrated the platform with different stores, including Shopify and Printful, to provide users with seamless access to a wider customer base and potential sales opportunities. I automated the entire process, making use of cloud services that are scalable, and generating SKUs/products as part of the automation. Throughout the development process, I prioritized security and privacy considerations, implementing robust measures to protect user data and intellectual property. The end result is a cutting-edge platform that offers unparalleled creative options for users and provides an additional channel for artists and designers to showcase their work and monetize their creativity. I am extremely proud of the work I've done on 99Gens, and the value it provides to users and businesses alike.
Augmento is an open-source Python library that provides a comprehensive collection of image augmentation techniques for machine learning applications. The library offers a wide range of augmentation functions that can help improve the accuracy and robustness of computer vision models by introducing variations to the input data. Augmento is designed to be flexible and easy-to-use, with a user-friendly API that allows you to chain together different augmentation functions and customize their parameters to fit your specific use case. The library supports a variety of image formats and integrates well with popular machine learning frameworks like PyTorch and TensorFlow. As the lead developer, I worked on designing and developing the Augmento library, incorporating a variety of image augmentation techniques that can be applied to diverse machine learning use cases. The library offers a range of augmentation functions such as cropping, flipping, rotation, affine transformation, and color jittering, making it easy for developers to create diverse and representative training datasets and improve the performance of their models. Augmento is a valuable tool for computer vision projects, object detection algorithms, and neural networks for image classification. By using Augmento, developers can easily incorporate different types of image augmentations in their data pipeline and train more effective models. The library is open-source, which means that developers can use and contribute to the library for free. I am proud to have worked on Augmento and to have contributed to the machine learning community by creating a versatile and powerful image augmentation library.
Master of Philosophy (MPhil) in Computational Mathematics
2018-01-01-2020-01-01