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mohammed parvezMP
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mohammed parvez

@mohammedparvez

Frontend Engineer specializing in React and Next.js for high-performance SaaS.

Bangladesh
Message

What I'm looking for

I’m looking for a role where I can build high-performance React/Next.js products, optimize performance, and ship AI-driven features. I want strong engineering standards around scalable architecture and secure RBAC, with opportunities to work with international teams.

I’m a Frontend Engineer with 4+ years of specialized React experience building high-performance SaaS, e-commerce, and enterprise applications. I focus on performance optimization, scalable frontend architecture, and shipping AI-driven features that drive real outcomes.

In recent roles, I built an AI-powered chat assistant and AI-driven form automation that increased user productivity by 80%, and I improved an e-commerce app’s load time from 4s to under 1.5s through optimization and caching. I also implement secure authentication and RBAC using encrypted HTTP-only cookies and JWT, and I enjoy collaborating remotely with international teams across time zones.

Experience

Work history, roles, and key accomplishments

TE
Current

React Developer

Tenscores

Jan 2025 - Present (1 year 5 months)

Developed an AI-powered chat assistant and AI-driven form automation in a SaaS dashboard, increasing user productivity by 80%. Built lead capture and CSV bulk import workflows with chunked uploading and added Jest/React Testing Library tests.

GO

Frontend Engineer

Gononet

Sep 2022 - Jan 2025 (2 years 4 months)

Implemented secure authentication and RBAC using encrypted HTTP-only cookies and JWT for enterprise ERP systems. Optimized e-commerce performance (4s to under 1.5s), improved productivity with barcode scanning and bulk Excel upload (80%), and reduced Google Maps API costs by 70%.

Education

Degrees, certifications, and relevant coursework

AU

American International University–Bangladesh

Bachelor of Science, Computer Science and Engineering

Grade: CGPA: 3.61 / 4.00

Bachelor of Science in Computer Science and Engineering. CGPA of 3.61/4.00.

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