Hi, I'm Krishna Prasad, a passionate Computer Science graduate with over 2 years of experience building full-stack applications across healthcare, education, and hospitality sectors. I enjoy developing scalable and secure solutions using modern technologies like React, Node.js, Django, and cloud platforms such as AWS and Azure. Integrating AI capabilities into practical applications fascinates me, especially leveraging NLP and machine learning to enhance user experiences. I'm committed to continuous learning and thrive working in Agile teams where I can contribute to meaningful projects while optimizing data workflows and deploying efficient systems. When I'm not coding, I love exploring new AI tools and experimenting with innovative tech to solve real-world challenges.

Naga Rama Krishna Prasad Rachapalli

Hi, I'm Krishna Prasad, a passionate Computer Science graduate with over 2 years of experience building full-stack applications across healthcare, education, and hospitality sectors. I enjoy developing scalable and secure solutions using modern technologies like React, Node.js, Django, and cloud platforms such as AWS and Azure. Integrating AI capabilities into practical applications fascinates me, especially leveraging NLP and machine learning to enhance user experiences. I'm committed to continuous learning and thrive working in Agile teams where I can contribute to meaningful projects while optimizing data workflows and deploying efficient systems. When I'm not coding, I love exploring new AI tools and experimenting with innovative tech to solve real-world challenges.

Available to hire

Hi, I’m Krishna Prasad, a passionate Computer Science graduate with over 2 years of experience building full-stack applications across healthcare, education, and hospitality sectors. I enjoy developing scalable and secure solutions using modern technologies like React, Node.js, Django, and cloud platforms such as AWS and Azure. Integrating AI capabilities into practical applications fascinates me, especially leveraging NLP and machine learning to enhance user experiences.

I’m committed to continuous learning and thrive working in Agile teams where I can contribute to meaningful projects while optimizing data workflows and deploying efficient systems. When I’m not coding, I love exploring new AI tools and experimenting with innovative tech to solve real-world challenges.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Full-Stack Developer at Shreeya Shlok Inc
August 1, 2023 - June 22, 2024
Developed a Guest Management System for a hotel using React.js, Node.js, Express, and MongoDB with JWT-based role authentication. Streamlined guest check-in/out, expense tracking, and staff access, reducing manual workload by 30%. Built secure RESTful APIs with bcrypt encryption and deployed on AWS EC2 using automated CI/CD pipelines achieving 99.9% uptime. Designed a fully responsive UI/UX with Tailwind CSS and React Router ensuring accessibility across devices.
Trainee Software Engineer at Epsilon Softech
August 1, 2022 - July 31, 2023
Built an NLP-based Python solution to map medical terms to standardized codes, improving healthcare data interoperability by 25%. Optimized the BioSyn deep learning model using Cosine Similarity achieving 95% precision in retrieving top matching codes. Developed a full-stack Django web interface for 50+ healthcare administrators enabling user-friendly access. Deployed the application on AWS EC2 with Docker and CI/CD pipelines to support scalability for concurrent projects.
Machine Learning Summer Intern at IIT Kharagpur
May 1, 2022 - July 31, 2022
Developed and optimized machine learning models for predictive analytics and classification using decision trees, SVMs, CNNs, and RNNs. Designed a Double-Layered Hybrid Approach combining Naïve Bayes and SVM achieving high accuracy for intrusion detection attacks. Outperformed baseline models surpassing traditional IDS systems. Applied ICFS and PCA for optimized feature selection reducing false alarm rate using SVM with RBF kernel.

Education

Bachelor of Technology at Guru Ghasidas Vishwavidyalaya (GGV)
August 1, 2019 - May 31, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Education, Travel & Hospitality

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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