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Schedule Interview NowBeing part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.
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AI-driven conversational platform designed to enhance user interactions through personalized and emotionally adaptive voice agents. The platform offers multilingual support, customizable chat modes, and integrates seamlessly with existing systems via flexible APIs. Key features include emotion recognition, advanced call flow management, and a suite of AI personas tailored for various professional roles such as recruiters, therapists, and tutors.
I contributed to the development of Devizer, a powerful project and product management tool that helps teams streamline workflows through a hierarchical feature-based structure. The platform supports full lifecycle management—from planning to delivery—while integrating tools like Git and Jira, offering real-time roadmaps, AI-assisted features, and a clean, intuitive UI for enhanced team collaboration and productivity.
The project is for email marketing. It scrapes user data from LinkedIn using an extension written in React and Python Django. It uses specific email patterns to identify real email addresses of users. The project then allows sending marketing emails to these addresses. Additionally, it lets users create email templates within the app using HTML. The app can send up to a million emails per day. Other features include exporting/importing data to/from XLSX files and providing the ability to modify data within the app.
A tool that automates the generation of language bindings between C++ and Swift, Kotlin, Python, and JavaScript.