Nithin UserNU
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Nithin User

@nithinuser

Full-stack developer skilled in MERN, Python, and ML—passionate about building scalable apps.

India
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What I'm looking for

When evaluating job opportunities, I prioritize roles that complement my skill set, passions, and principles. I value environments that foster collaboration and inclusivity, where originality and inventive thinking thrive. Continuous professional development is paramount to me, as I am committed to enhancing my abilities and broadening my expertise.


Nithin Kumar Meena is a passionate full-stack developer and machine learning enthusiast with a strong foundation in C++, Python, and modern web technologies like the MERN stack, Tailwind CSS, and Next.js. As the CTO of Mesdo, a healthcare startup, he leads backend architecture, real-time systems, and scalable product development. With prior experience as a machine learning intern, he brings a deep understanding of both AI and scalable web platforms. Nithin is also the founder of Learnify, an online live-course platform, and Zenith Studio, a web solutions agency, where he helps businesses build impactful digital products.

Experience

Work history, roles, and key accomplishments

Zenith Studio logoZS
Current

Fullstack Developer

Zenith Studio

Jan 2025 - Jul 2025 (6 months)

Develop and maintain responsive web applications using React.js and Next.js
Build and manage RESTful APIs for efficient data communication
Ensure application scalability, security, and performance optimization
Work with databases like MongoDB for effective data management
Customize and develop WordPress websites, including themes and plugins

Learnify logoLE

Fullstack Developer and Instructor

Learnify

Jul 2024 - Dec 2024 (5 months)

As a Software Engineer at Learnify, I am responsible for designing, developing, and maintaining the platform's web applications to ensure a seamless learning experience for students.

AIDROID logoAI

Machine Learning Engineer

AIDROID

Apr 2023 - May 2024 (1 year 1 month)

● The segmentation model is trained on 60,000 images for more than 6 million iterations, achieving accuracy near to 99
percent. The model inferences daily on 40,000 images and error rate is as low as 0.5 -1 percent.
● Implemented data correction techniques to enhance model performance.
● Utilized a classifier to categorize and sort the captured data, enabling customized pro

Education

Degrees, certifications, and relevant coursework

Nithin hasn't added their education

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