Bachelor's degree

Led end-to-end development of Flytask’s AI automation platform, unifying marketing, sales, and HR workflows through scalable microfrontends and LLM-powered solutions.

Key Achievements:
- Built modular frontends with Next.js and microfrontend architecture, enabling independent deployment of AI chatbots, SEO tools, and HR automation modules.
- Integrated anything-llm libraries to create context-aware AI agents for tasks like email analysis, competitor research, and dynamic content generation.
- Automated 2,000+ workflows via self-hosted n8n on GCP, connecting CRM, Gmail, and LinkedIn while reducing manual errors by 90% in processes like SEO audits and client proposals.
- Designed API-first strategies to unify Flytask’s multilingual chatbots, marketing tools (“Agency-in-a-Box”), and HR modules into a single ecosystem, cutting integration overhead by 40%.
- Enforced role-based access controls and GDPR-compliant data handling across microservices.

Tech Stack: Next.js, GCP, n8n, anything-l

Senior Frontend Developer

Drove UI/UX optimization and feature development for Flashbox’s on-demand delivery platform, focusing on scalability for international markets and seamless cross-device functionality.

Key Achievements:
- Overhauled UI/UX architecture to align with global accessibility standards, integrating multilingual support, RTL compatibility, and culturally adaptive design elements, increasing international user adoption by 35%.
- Engineered same/next-day delivery features, reducing average fulfillment time by 50% and boosting customer satisfaction scores by 22% through real-time logistics tracking and dynamic routing algorithms.
- Enhanced on-demand service reliability by rebuilding core modules for 15+ device types and OS versions, achieving 99.9% uptime and cutting latency by 25% via responsive code optimizations.
- Delivered daily iterative updates to streamline user workflows, including one-click reordering, dynamic pricing calculators, and AI-driven delivery time estimates, improving 30-day

optimizing front end code helped us increase our google search results impressions and clicks 
 by 30% besides helping the sales rise up to 10% in less than 3 months.

Search Engine Optimization Analyst

developing a react js based profile for students to edit their info. make purchases, send a message to their teachers and ask them about their school and homework obligations besides having the opportunity to join online classes and take quizzes that'd help them get a chart that indicated their growth in a selected period of time.
the technologies used in making this project were mainly React js, context API, axios, REST structure, Jest for unit testing and material UI for as the design library.

Junior Frontend Developer

Led the development of Filliny’s AI-powered Chrome extension, automating job application form filling to save users 90% of manual input time through context-aware field analysis and secure data handling.

Key Achievements:
- Built the extension’s core architecture using React and TypeScript, enabling real-time detection and auto-filling of 100+ form fields across platforms like LinkedIn, Indeed, and Greenhouse.
- Integrated AI/ML models to analyze form structures and user input patterns, achieving 98% accuracy in auto-fill precision and minimizing manual corrections.
- Designed a scalable backend with Node.js and Firebase to securely store and encrypt user profiles, ensuring GDPR compliance and cross-device synchronization.
- Reduced average application time from 5 minutes to 30 seconds per submission through optimized data caching and parallel processing of repetitive fields.
- Enhanced user retention by 35% by collaborating on UX improvements, including customizable templates and one

Technical Founder

Contributed to the development and optimization of AloPeyk’s React-based web app for on-demand delivery services, ensuring high performance and accessibility across devices in Iran’s dynamic market.

Key Achievements:
- Refactored legacy class-based React components to modern functional architecture using React Hooks and singleton patterns, enhancing code maintainability and reducing technical debt for future releases.
- Optimized frontend performance by implementing Next.js for server-side rendering and Redux for state management, cutting page load times by 30% on low-end devices.
- Debugged and resolved critical UI/UX issues, improving cross-browser compatibility and user retention by 15% through iterative A/B testing and responsive design fixes.
- Streamlined CI/CD workflows using Azure pipelines and GitLab, automating testing and deployment processes to accelerate release cycles by 40%.
- Enforced React best practices and memory optimization strategies, reducing app crashes by 25% 

Mid-level Frontend Developer

<p>Leading the architectural transformation of how.fm's legacy CMS into a modern, scalable platform using microfrontends and Next.js, while establishing engineering best practices for long-term growth.

Key Responsibilities &amp; Achievements:
- Spearheading the phased migration from legacy CMS to a modular microfrontend architecture using Next.js, enabling independent feature development and deployment
- Implementing robust security protocols and cross-application authentication flows to ensure platform integrity
- Optimizing database performance and query efficiency to support increasing user loads
- Establishing and enforcing frontend development standards to maintain code quality across teams
- Driving technical alignment between engineering, product, and business stakeholders
- Mentoring team members through knowledge sharing and collaborative problem-solving

Technical Focus:
- Modernizing UI/UX while maintaining system stability during transition
- Building scalable foundations to acco</p>

Software Engineer

<p>Built AI Applyd from scratch as a solo founder — an AI-powered job application platform that automates the entire job search pipeline. Designed and shipped the full-stack product: TanStack Start frontend, Hono API on Cloudflare Workers, Drizzle ORM + D1, AI pipeline via OpenRouter. Features include ATS resume scoring (91% pass rate), automated job applications across 30+ platforms, resume builder with 8 templates, AI interview prep, and real-time application tracking. Bootstrapped, profitable from day one.</p>

Founder

Builder of AI Applyd. Solo maker shipping AI-powered job application tools.

github

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