Kanishk Ranjan Barman Logo
krbarman.simplyfyy.com

About Me

I am a Computer Science and Engineering student at Guru Ghasidas Vishwavidyalaya with a deep passion for building resilient software architectures. I specialize in the Java ecosystem (Spring Boot, Hibernate) and modern web technologies (Next.js, React).

Over the past few years, my interests have expanded into DevOps and Artificial Intelligence. I love building semantic search vectors using pgvector, setting up CI/CD automation pipelines using Jenkins/Docker, and building autonomous agent tools via Spring AI.

As an open-source enthusiast and coordinator, I frequently lead communities (like GDG on Campus and GeeksforGeeks Chapter) to guide developers, host bootcamps, and run competitive coding workshops.

Quick Facts

Location:India
University:GGV, Bilaspur
Graduation Year:2026
Specialties:Java & Spring, Next.js, Docker

Timeline & Milestones

A comprehensive chronicle of my education, professional roles, and major projects.

Feb 2026 – Presentproject

AI Powered HRMS App

Personal Project

Building an enterprise hiring platform featuring Ollama LLM tool calling, pgvector semantic search, and secure Google OAuth.

Dec 2025 – Feb 2026work

Java Trainer

Coding Cloud Institute, Pune

Taught Core Java, advanced Java, Hibernate, and Spring Boot to industry professionals, managing curriculums and syllabus flows.

May 2025 – Aug 2025work

Full-Stack Developer Intern

Java Pro Academy, New York

Built 30+ features for an LMS, transitioning frontend from Vaadin Flow to ReactJS, achieving 95%+ test coverage through TDD.

2022 – 2026education

B. Tech in Computer Science & Engineering

Guru Ghasidas Vishwavidyalaya, Bilaspur

Acquiring strong foundations in algorithms, databases, cloud native architectures, and AI model integrations.

2015 – 2022education

Higher Secondary (CBSE Science)

Jawahar Navodaya Vidyalaya, Alipurduar

Graduated higher secondary education with a science-focused curriculum.

What I Love Building

The primary software domains I enjoy architecting, testing, and scaling.

AI Applications

Harnessing LLMs, semantic searches, and embeddings to build autonomous software agents and assistive products.

Cloud Native Systems

Designing scalable REST APIs, reliable databases, and microservices using Java & Spring Boot, containerized with Docker.

Developer Tools

Creating CLI tools, scripting automation routines, and improving internal pipelines for high developer productivity.

Automation Platforms

Constructing robust CI/CD routines (Jenkins, GitHub Actions), status checkers, and deploy scripts.