Abhishek N Alavandi

Neelagar Pete Bastibana laxmeshwar, Karnataka, 582116, Laxmeshwar, IN.

About

Aspiring Full Stack Developer with a solid grasp of web technologies and a passion for full-cycle software development. Eager to learn, adapt, and contribute to building modern, efficient, and user-focused applications. Looking for an opportunity where I can grow under mentorship and add value to innovative projects

Work

Datapulse global Service Pvt Ltd
|

Assosciate Software Developer Intern

Rooman Technologies
|

AI DevOps Intern

Summary

Automated ML deployments using Docker & Kubernetes.

SVARKS
|

Full Stack Development Intern

Summary

Built full stack web application using Django framework.

Education

SKSVMACET College

Bachelor of Engineering

Information Science

Grade: 8.41

VVS KH Patil PU Science College

Pre-University College-PCMB

Grade: 82.33%

S.T.P.M.B English Medium School

Secondary School Education

Grade: 83.84%

Awards

7th Sem Topper

Achieved the highest academic performance in the semester.

Certificates

Machine Learning – Simplilearn
Data Science – Elewayte

Skills

Programming Languages

Python, C, C++.

Machine Learning & AI

TensorFlow, Keras, CNN, Data Science, PowerBI.

DevOps Tools

Docker, Kubernetes, Jenkins, Git/GitHub, CI/CD.

Web Development

HTML, CSS, JS.

Database

MySQL.

Interests

Machine Learning – Simplilearn

Gained expertise in predictive modeling & data analysis..

Data Science – Elewayte

Developed projects to enhance problem-solving & programming skills..

Projects

Online Examination System

Summary

Developed a responsive Online Examination System using HTML, CSS, JS, Django, and MySQL with secure user authentication, timed exams, question management, and result generation.

Credit Risk Assessment(Classification Algorithms, Probability & Stats)

Summary

Built a classification model using Random Forest (82.16% accuracy) to assess loan risk using structured data and probability-based evaluation.

AI-Based Medical Diagnosis (CNN, TensorFlow, OpenCV, Flask)

Summary

Designed a CNN-based system for disease detection via X-ray/CT scan images. Achieved 93.6% test accuracy. Deployed using Flask for real-time diagnosis.

Improving Collaboration by Integrating Mutiple Tools in Devops

Summary

Optimized DevOps Collaboration by integrating Jenkins, GitHub, Slack, and Docker to automate CI/CD workflows, enhance communication, and improve deployment efficiency.