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maifeeulasad

Maifee Ul Asad

@maifeeulasad

Full Stack Developer, React, TypeScript, Spring Boot and Node

Bangladesch
Englisch, Bengalisch, Hindi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I'm Maifee, a full-stack software engineer with 4+ years building production web apps for companies across Bangladesh, India and remote teams. I hold an M.Sc. in Computer Science (First Class First) and a B.Sc. in CSE. I build scalable apps with React, TypeScript and Java Spring Boot (also Node/MERN and React Native) - from responsive front ends to robust REST APIs and databases. I'm also a prolific open-source author with 50+ published npm packages. Need an app, an API, an npm package or a bug fixed? Message me and let's talk about your goals.... Mehr lesen

Kompetenzen

m
maifeeulasad
Maifee Ul Asad
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Full-Stack-Webanwendungen
I will create webpages with reactjs and typescript
Ab5 $ / ProjektWeitere Details
Full-Stack-Webanwendungen
I will build scalable full stack web apps w react and spring boot
Ab60 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Enerzyz

Full Stack Product Engineer

Enerzyz • Vollzeit

Mar 2025 - Aug 2025 • 5 mos

Built and shipped full-stack product features end to end with React, TypeScript, and Spring Boot. Owned architecture. REST API design and database work for a remote product team.

AppFlow_Solutions

AppFlow Solutions

Vollzeit • 1 yr 4 mos

Machine Learning Engineer

Mar 2024 - Aug 2024 • 5 mos

Led an ML engineering team focused on productionizing deep-learning models, using GPU/CUDA acceleration, distributed training, and model optimization to improve performance. Achieved a 30% improvement in inference speed and worked across teams to integrate ML models into production systems.

Full Stack Engineer

Sep 2023 - Aug 2024 • 11 mos

Built and optimized scalable full-stack systems and infrastructure for production workloads, handling 100K+ daily API requests, achieving 95+ Lighthouse performance, enabling zero-downtime deployments, and automating ML/Kubernetes infrastructure.