00 / BACKEND ENGINEER · SKCT '27

build better backend.

Engineering resilient, high-throughput backend systems with Java & Spring Boot. I design clean RESTful architectures, optimize relational databases, and build clean APIs that scale effortlessly.

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Specialized in: Spring Boot & REST APIs

Kavin · Backend Engineer

layered architecture · relational integrity · clean code

Sri Krishna College of Technology · B.Tech IT

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JAVA 17• SPRING BOOT• REST APIS• MYSQL• SPRING DATA JPA• POSTMAN• DOCKER• DEEP LEARNING• DATA STRUCTURES & OOP• ER MODELING• JAVA 17• SPRING BOOT• REST APIS• MYSQL• SPRING DATA JPA• POSTMAN• DOCKER• DEEP LEARNING• DATA STRUCTURES & OOP• ER MODELING•

01 ABOUT ME

Engineering systems that are reliable, structured, and built to scale.

I am a B.Tech Information Technology undergraduate at Sri Krishna College of Technology, driven by a deep fascination with how large-scale software behaves under the hood.

My primary focus is crafting robust backend services using Java, Spring Boot, and MySQL. I design with disciplined engineering standards: controller-service-repository patterns, strict input validation, comprehensive exception handling, and meticulous API testing with Postman.

I also explore the intersection of backend engineering and machine learning workflows, having built convolutional models for dermatological classification and automated resume-to-job matching pipelines.

"Good architecture isn't just about code that runs; it's about systems that remain predictable, debuggable, and maintainable under stress."

— Kavin · Backend Developer

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Completed Projects

From queueing simulation algorithms to full CRUD REST microservices.

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Core Technologies

Mastered across enterprise Java, Spring ecosystem, and SQL databases.

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Records Benchmark

Tested API endpoints with structured data loads, pagination, and relational joins.

0 Cert

Formal Certifications

Verified credentials in Core Java Programming and SQL Fundamentals.

02 TECH STACK & CAPABILITIES

Tools of my craft.

A focused toolset tailored for enterprise backends, database reliability, and intelligent automation.

Primary Domain

Backend & Enterprise Architecture

Building scalable services using modern Java frameworks. Layered separation of concerns, transactional safety, and robust error management.

Java 17 Spring Boot Spring Data JPA RESTful APIs Hibernate Maven

Storage & Models

Database Engineering

Relational data modeling, schema normalization (3NF), complex joins, foreign keys, and query optimization.

MySQL PostgreSQL Complex SQL ER Modeling

Computer Science

Core Principles

Strong mathematical and conceptual foundation ensuring maintainable, cleanly decoupled codebases.

Data Structures OOP Design CRUD Pipelines Queueing Theory

Workflow & CI

Developer Tooling

Version control, automated testing harnesses, API contract verification, and containerization.

Git & GitHub Postman Docker VS Code

AI Workflows

Applied AI & Machine Learning

Integrating intelligence into backend pipelines: TF-IDF similarity calculation, image classification pipelines, and LLM-assisted workflow automation.

Python Deep Learning Flask NLP & TF-IDF scikit-learn

03 SELECTED WORKS

Built with intention.

Explore backend architectures, optimization engines, and full-stack solutions.

REST API · Core Backend

Student Management System API

A high-throughput enterprise RESTful API designed to manage 200+ student records with strict integrity. Implements a disciplined 3-tier layered architecture (Controller → Service → Repository) with global exception handling and input validation.

200+ student records verified via Postman test collections

Spring Data JPA with automated schema migration

Spring Boot MySQL Spring Data JPA Postman Java 17

Source Code on GitHub

StudentController.java

@RestController
@RequestMapping("/api/v1/students")
public class StudentController {
  
  @Autowired
  private StudentService service;

  @PostMapping
  public ResponseEntity<Student> 
  create(@Valid @RequestBody DTO dto) {
    return ResponseEntity
      .status(HttpStatus.CREATED)
      .body(service.register(dto));
  }
}

Optimization · Queueing Systems

ChargeFlow — Smart EV Grid Optimizer

AI-powered EV charging infrastructure platform that prevents electrical grid bottlenecks. Leveraged the mathematical Erlang-C queueing model to dynamically route electric vehicles, minimize driver wait times, and intelligently distribute station load.

Mathematical queueing models for predictive station congestion

Interactive geospatial heatmaps via Leaflet and Chart.js telemetry

Spring Boot React PostgreSQL / MySQL Docker Leaflet Chart.js

Repository & Simulation Engine

Erlang-C Queue Telemetry SIMULATOR ACTIVE

34.2% Grid Load Reduction

-18m Avg Driver Delay

⚡ Optimized: Station #4 (SKCT Node) · 4/6 Bays Open

Deep Learning · Computer Vision

AI Dermatological Skin Cancer Classifier

Diagnostic computer vision pipeline for automated classification of dermoscopic skin lesion imagery. Implemented the complete ML workflow: dataset normalization, convolutional feature extraction, validation, and iterative hyperparameter tuning.

High validation accuracy through data augmentation & dropout

Modular Python preprocessing pipeline for high-res medical imagery

Python Deep Learning Computer Vision NumPy

View on GitHub

01 Dermoscopic Input (RGB)

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02 Feature Extraction (CNN)

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03 Softmax Confidence Probability

Database Design · Complex SQL

Enterprise Library Relational Schema

Comprehensive relational database architecture engineering book catalogs, borrowers, fine calculations, and active borrowing transactions. Structured with strict referential integrity, indexed primary/foreign keys, and stored routines.

MySQL Advanced SQL Schema Normalization (3NF) ER Modeling

View Schema & Queries

SQL QUERY BENCHMARK

SELECT b.title, u.full_name, t.issue_date
FROM transactions t
INNER JOIN books b ON t.book_id = b.id
INNER JOIN users u ON t.user_id = u.id
WHERE t.return_status = 'PENDING'
ORDER BY t.issue_date DESC;

AI / NLP · Talent Tech

AI Resume Screening & Ranking System

Natural Language Processing system that parses candidate resumes against corporate job descriptions. Computes semantic relevance and TF-IDF cosine similarity scores to automatically rank applicant suitability through REST endpoints.

Python Flask scikit-learn TF-IDF REST API

View on GitHub

#1 Backend Engineer CV 94.8% Match

#2 Full Stack CV 82.1% Match

#3 Junior Dev CV 69.4% Match

04 ACADEMIC & CERTIFICATIONS

Foundation & credentials.

Formal academics paired with continuous technical certification.

2023 — 2027 UNDERGRADUATE

B.Tech in Information Technology

Sri Krishna College of Technology (SKCT)

Focus on Object-Oriented Software Design, Relational Database Systems, Operating Systems, Algorithm Analysis, and Computer Networks.

Certified OFFLINE

Core Java Programming Certification

Professional Offline Training & Assessment

In-depth validation of Java syntax, multi-threading concepts, memory allocation, Collections framework, and object design patterns.

Certified ONLINE

SQL Fundamentals Certification

Coursera

Comprehensive practical training covering relational schema architectures, multi-table joins, subqueries, grouping aggregations, and constraint enforcement.

05 GET IN TOUCH

let's build remarkable systems together.

Have an opening for a backend developer, an intriguing project, or want to discuss scalable API architectures? Reach out directly.

Direct Email 727823tuit106@skct.edu.in

Phone · WhatsApp +91 7548887045

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GitHub Repositories github.com/KavinC18

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