Abhishek N Alavandi

Java Fullstack Developer | AI/ML & DevOps Enthusiast

Neelagar Pete Bastibana Laxmeshwar, 582116, Gadag, Karnataka, India, IN.

About

Enthusiastic and results-driven Java Fullstack Developer with a strong foundation in Core Java, OOPs, and data structures. Eager to leverage expertise in Spring Boot, Python, and modern DevOps tools like Docker and Kubernetes to build scalable applications. Proven ability to collaborate effectively in cross-functional teams, as demonstrated through impactful projects in AI/ML, web development, and process automation.

Work

Rooman Technologies

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AI DevOps Intern

Lakshmeshwar, Karnataka, India

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Summary

Spearheaded the automation of Machine Learning deployments, enhancing operational efficiency and system reliability.

Highlights

Automated Machine Learning model deployments utilizing Docker and Kubernetes, streamlining the CI/CD pipeline for AI applications.

Contributed to optimizing deployment processes, reducing manual intervention and accelerating time-to-market for ML solutions.

Gained practical experience in containerization and orchestration technologies, ensuring robust and scalable AI infrastructure.

Tap Academy

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Java Fullstack Developer Trainee

Bengaluru, Karnataka, India

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Summary

Currently undergoing intensive training in full-stack Java development, specializing in modern frameworks and database management.

Highlights

Engaging in comprehensive training across Core Java, Spring Boot, and advanced front-end technologies to build robust applications.

Developing proficiency in database management systems, including MySQL and MongoDB, for scalable data solutions.

Applying OOPs principles and data structures to develop efficient and maintainable codebases for enterprise-level applications.

SVARKS

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Full Stack Development Intern

Dharwad, Karnataka, India

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Summary

Developed a full-stack web application, gaining hands-on experience in end-to-end software development with Django.

Highlights

Built a comprehensive full-stack web application using the Django framework, covering both front-end and back-end development.

Implemented robust database models and API endpoints to support application functionality and user interactions.

Collaborated on project requirements and design, delivering a functional application within the internship timeframe.

Education

SKSVMACET College

Lakshmeshwar, Karnataka, India
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Bachelor of Engineering Information Science Grade: CGPA: 8.63

Courses

Data Structures & Algorithms

Object-Oriented Programming (OOPs)

Database Management Systems

Software Engineering

Machine Learning

VVS KH Patil PU Science College

Hubli, Karnataka, India
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Pre-University College PCMB Grade: Percentage: 82.33%

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

Lakshmeshwar, Karnataka, India
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Secondary School Secondary School Education Grade: Percentage: 83.84%

Awards

Final-Year Project Poster Presentation

KSCST (IISc Bangalore) 48th SPP, supported by DST, Govt. of India & Karnataka

Selected for prestigious poster presentation at a national-level symposium, recognizing innovative research and project execution.

7th Sem Topper

SKSVMACET College

Achieved the highest academic performance in the 7th semester of Bachelor of Engineering in Information Science.

Languages

English

Kannada

Certificates

Web Designers for Begineers

Udemy

Data Science

Elewayte

Machine Learning

Simplilearn

Skills

Programming Languages

Java (Core Java, OOPs, Data Structures), Python.

Frameworks

Spring Boot, Django, Streamlit.

Tools & Technologies

Docker, Kubernetes, Jenkins, Git/GitHub, CI/CD, MySQL, MongoDB, SQL, HTML, CSS, JavaScript.

Libraries

Numpy, Pandas, Scikit-learn, Seaborn.

Concepts & Methodologies

Machine Learning, Deep Learning, Data Analysis, Predictive Modeling, Full Stack Development, Web Development, API Development, Database Management, Object-Oriented Programming (OOP), Containerization, Orchestration.

Soft Skills

Team Collaboration, Problem-solving, Continuous Learning, Cross-functional Teamwork, Communication.

Projects

Smart City Service Provider & Finder

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Summary

Developed a web-based platform facilitating real-time discovery of local services and empowering businesses with profile management and visibility tools.

AI-Powered Legal Compliance Assistant for ADGM

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Summary

Built an AI-driven tool to automate legal document verification and compliance gap detection, significantly reducing manual review time.

Credit Risk Assessment (Classification Algorithms, Probability & Stats)

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Summary

Created a classification model to accurately assess loan risk using structured data and advanced probability-based evaluation.

Improving Collaboration by Integrating Multiple Tools in DevOps

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Summary

Optimized DevOps collaboration and deployment efficiency by integrating key tools to automate CI/CD workflows and enhance communication.