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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 coding—to 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. It’s 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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5 years
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Potentially possible
Function is an annual subscription designed to serve people across their lifetime.
- Contributed to the frontend and the backend of Insightiv Diagnostics Platform, a Hybrid teleradiology platform for medical imaging diagnostics and research. - Led the development of version control for machine learning models and predictions, which allows data scientists and machine learning engineers to deploy machine learning models and interact with the deployed models using dynamically generated REST APIs. - Write testable, reusable, performant, and efficient code for the platform.
- Implemented a scalable Kubernetes cluster managed by Amazon EKS. - Orchestrate the deployment, scaling and management of Docker containers. - Worked on designing and developing the system in Python using Django MVC modules. - Developed Restful Microservices using Django and deployed on AWS servers using EBS and EC2. contributed to the design and creation of RESTful APIs. - Created a wide variety of unit tests to verify the functionality of system.
Bachelor of Engineering (BEng) in Computer engineering
2017-01-01-2021-01-01