a
amnaikram360

Amna Ikram

@amnaikram360
5.0(1)

Full Stack Developer, AI SaaS Developer, MVP Specialist, RAG, AI Agents

Pakistán
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I build production-ready full-stack SaaS platforms and deliver MVPs in 4–6 weeks. I’m Amna Ikram, specializing in SaaS development, AI integration, and scalable web apps for startups. My stack includes React, Next.js, TypeScript, Python, Node.js, PostgreSQL, and MongoDB. I work with APIs, WebSockets, and LLM integrations like OpenAI and RAG. I also handle DevOps (Docker, CI/CD, AWS) and security (JWT/OAuth). Message me with your idea, I’ll outline your MVP within 24 hours.... Lee más

Habilidades

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amnaikram360
Amna Ikram
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Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Sitios web y software con IA
I will build ai powered mvps and web applications using gpt, claude, and more
DeUSD 200 / proyectoMás información
Desarrollo y MVP
I will build your website or web app using ai vibe coding with claude code
DeUSD 50 / proyectoMás información

Porfolio

Experiencia laboral

Full Stack Developer

Nexus • Tiempo parcial

May 2023 - Present • 3 yrs

Developed a comprehensive Full-Stack Development SaaS MVP using React for the frontend and Flask for the backend, focusing on providing financial professionals with tools for real-time data analysis. 🔷 Frontend Development: Crafted responsive user interfaces using React and Chakra UI, ensuring optimal user experience across devices. 🔷 Backend Collaboration: Worked closely with a backend developer, contributing to specific portions of the server-side code using Flask. Integrated MongoDB for streamlined data management and operations. 🔷 AI Integration: Incorporated the GPT-4 API to facilitate a GPT-like chatbot, enabling clients to inquire about their specific use cases directly on the platform. 🔷 Security Protocols: Implemented JWT-based authentication and established role-based authorization mechanisms, fortifying platform security and user data protection. 🔷 Performance Management: Continuously monitored and optimized website performance, achieving a 30% reduction in load times

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    She performed very well in the regression problem using Deep learning model. If you are here for deep learning then you are at perfect place

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