Hi, I'm Kritika Acharya.
Self-motivated and curious developer focused on solving complex real-world problems through data-driven approaches and effective data management.
About
I am a Computer Engineering graduate from Thapathali Campus, IOE, currently working as a Data Administrator Developer at IIS Incorporation Ltd. I enjoy solving problems through development and data-driven approaches. My work blends backend development with elements of data science and system design. I’m also actively involved in social innovation programs, contributing to technology that drives positive change.
Experience
- Developed and maintained backend functionalities for enterprise applications, ensuring seamless data management and system performance.
- Designed and optimized database schemas, queries, and stored procedures to enhance efficiency and scalability.
- Improved system performance by refactoring code and optimizing database operations, reducing query response time.
- Implemented batch processing and automated data workflows, minimizing manual interventions and improving efficiency.
- As a Microsoft Learn Student Ambassador, demonstrated leadership by mentoring peers and sharing technical knowledge through workshops and community events.
- Actively engaged with the community by hosting knowledge-sharing sessions and guiding students in their learning journey.
- Developed strong communication and teamwork skills by collaborating with diverse groups to drive impactful initiatives.
Projects

Ensures data integrity through controlled verification processes and validation checks.
- Tools: JavaScript, HTML, CSS, Bootstrap, SQLite
- Verify and control workflow processes through structured validation mechanisms.
- Manage access control and user roles for secure data verification.
- Enable search and filtering for verification records based on criteria.
- Track and log verification steps to ensure data integrity.

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Medical Image Super Resolution using MedSRGAN project aims to enhance the resolution and quality of medical images through the application of Generative Adversarial Networks (GANs), specifically tailored for medical imaging data.
- Tools: Python, HTML, CSS, Bootstrap, Azure, Pytorch, SRGAN
- Developed a medical image super-resolution system using the SRGAN model to enhance image quality.
- Improved low-resolution medical images by generating high-resolution outputs for better analysis.

AI-powered interviews
Skills
Languages and Databases






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Other



Education
Thapathali Campus, Institute of Engineering University
Kathmandu, Nepal
Degree: Bachelor of Computer Engineering
CGPA: 3.2/4.00
- Data Structures and Algorithms
- Database Management Systems
- Operating Systems
- Machine Learning
- Computer Vision
Relevant Courseworks:
Publications
Lumber Spine Super Resolution using SR-GANs View DOI