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Schedule Interview NowMy journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.
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I worked as a full-stack engineer on Tula Transformation. This AI-powered therapy app is making waves in the market. I led backend development with Python and Java. Added smart AI integration and managed the team. On the frontend, I used ReactJS. Created a smooth, engaging user experience. I made key decisions and set up a CI/CD pipeline. Used GitHub Actions, GCP, and Firebase for infrastructure. The app secured $1.2M in funding. Gained traction with thousands of users in two weeks. It was a rewarding challenge—I loved it!
I worked as a data scientist at Sony PlayStation for four years. I handled their service data, including 500k+ invoices. I performed ETL processes on this data. Created graphs, web applications, and dashboards. These tools supported their internal teams. The project was complex and long-term. I rewrote the ETL pipeline using Java. This improved processing speed by 120 times. It was a challenging yet fulfilling experience! Key technologies used: Java, ETL, web application development, data visualization, dashboards.
Deep learning and computer vision using YOLOv3 algorithm to detect objects from video or image just by using flags ie --image --video you can find the output video in the attachments.
in Avionics Engineering
Bachelor of Engineering (BEng) in Aerospace engineering
2016-01-01-2020-01-01