Saeed Torabzadeh
@saeedtorabzadeh
Frontend engineering leader specializing in React/Next.js, building scalable, high-quality web experiences.
What I'm looking for
I am a frontend engineering leader with deep hands-on experience building React and Next.js applications, owning end-to-end web experiences, and leading small teams to high velocity. I shaped architecture and delivery practices, standardized UI with Material UI, implemented data workflows with TanStack Query, and used Storybook and Vercel for documentation and deployment.
I have delivered core application capabilities including multilevel graph exploration, a conversational chatbot, dashboards, investor portfolios, and configurable alerts, while introducing rigorous code reviews, custom linting and visual QA against Figma. I've also authored onboarding documentation to help new hires ramp and align with team standards.
I practice people-first leadership to create psychological safety, give clear ownership, and coach through reviews so engineers grow while the product moves fast. My background combines frontend engineering, data-science-informed product work, and systems-level architecture for performant, production-grade web applications.
Experience
Work history, roles, and key accomplishments
Frontend Team Lead
Syenah GmbH
Jan 2021 - Apr 2025 (4 years 3 months)
Led a team of four front-end engineers to own end-to-end web experience, standardizing React/Next.js architecture and shipping features (chatbot, supply-chain graph, dashboards) while improving velocity and quality across releases.
Data Scientist & Full-Stack Developer
Zi-tel
Sep 2019 - Dec 2020 (1 year 3 months)
Built a real-time LTE RAN monitoring and optimization platform, performing EDA and anomaly detection and delivering a performant React/GraphQL SPA with live charts and optimized data streaming.
Senior Developer & Architectural Design Expert
Veunex
Sep 2015 - Sep 2018 (3 years)
Architected a national video analytics platform, leading R&D on detection and tracking models and delivering Vision Core (C++/Qt) for scalable real-time monitoring across 75 cameras.
Researcher and Developer
Targoman Intelligent Processing
Jan 2015 - Sep 2015 (8 months)
Developed a high-performance statistical phrase-based machine translation decoder in C++/Qt intended for industrial use, emphasizing clean, extensible code and deployment readiness.
Education
Degrees, certifications, and relevant coursework
Amirkabir University of Technology
Master of Science, Artificial Intelligence
2012 - 2014
Completed a Master of Science in Artificial Intelligence with a thesis on multi-font and size Persian printed text recognition using hidden Markov and language models.
University of Isfahan
Bachelor of Science, Computer Hardware Engineering
2008 - 2012
Completed a Bachelor of Science in Computer Hardware Engineering with a thesis on image processing on ARM+DSP processors using the ARM Cortex A8.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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