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Schedule Interview NowMy name is Nazar B. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, FastAPI, Django, Flask, RESTful API, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: Supertokens, Highlight, Instatus, Plausible, Clerk, etc.. I am based in Novi Strilyshcha, Ukraine. I've successfully completed 12 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
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DataArt
As a Python developer, I integrated and extended SuperTokens, an open-source authentication platform. I focused on building secure, scalable auth flows including sign-up/sign-in, session management, and multi-tenant support. I worked on backend plugins for captcha protection, user banning, and tenant discovery, ensuring flexibility and compliance. My contributions helped deliver a customizable, high-performance authentication system with reduced costs and easy setup.
I worked as a Python developer on Highlight.io, an open-source monitoring platform providing session replay, error monitoring, logging, traces, and dashboards. My role was to build backend services that process large volumes of event data, integrate error tracking with real-time logging, and optimize data pipelines for speed and reliability. I also contributed to APIs enabling developers to analyze user behavior and debug issues quickly, ensuring seamless monitoring across the full stack.
I worked as a Python developer on Instatus, a platform for real-time monitoring and incident management. My role was to build backend logic for service availability tracking, alerting, and performance metrics. I implemented APIs to collect and process uptime data, automated incident workflows, and integrated notifications. The project helps teams detect issues quickly, reduce downtime, and keep customers informed through dynamic status pages.
I contributed as a Python developer to Plausible, a privacy-friendly alternative to Google Analytics. My work focused on backend development of data pipelines for real-time tracking, optimizing storage, and ensuring compliance with GDPR. I built scalable APIs for metrics aggregation, enhanced query performance, and integrated analytics dashboards with secure, lightweight data handling for millions of events daily.
As a Python developer, I contributed to building a secure user authentication and management system with Clerk. I implemented backend logic for sign-up, login, session handling, MFA, and social logins. My role included integrating APIs, enhancing security with fraud detection and bot prevention, and ensuring scalable user data management. This project focused on delivering complete auth solutions with robust reliability, privacy compliance, and seamless integration into apps.
Bachelor of Computer Science (BCompSc) in Computer science
2008-01-01-2012-01-01
Master of Computer Science (MSCS) in Computer science
2013-01-01-2016-01-01