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Schedule Interview NowMy name is Mos V. and I have over 5 years years of experience in the tech industry. I specialize in the following technologies: Full-Stack Development, Python, Django, Flask, JavaScript, etc.. Some of the notable projects I’ve worked on include: Cognitiev, Devizer – Product & Project Management Platform, Pictury App, CppBind: A tool that automates the generation of language bindings. I am based in Yerevan, Armenia. I've successfully completed 4 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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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.