Full-Stack Java · Spring Boot · Data Science

Hi, I'm Amogh S.C.

Software Engineer specializing in Java, Spring Boot, Apache Kafka, and Machine Learning. Passionate about building scalable backend systems, solving complex problems, and delivering impactful software solutions.

View Projects Experience Contact
Java
Spring Boot
Apache Kafka
Python
SQL
DSA
Amogh S.C.
About Me

Building systems that scale & ship

Software Engineer focused on building scalable backend systems using Java, Spring Boot, Apache Kafka, and REST APIs. I enjoy solving complex engineering problems and developing reliable applications that deliver measurable business impact.

My experience spans backend development, machine learning, and data-driven solutions through internships, industry simulations, and personal projects. From reducing transaction processing latency by 25% using Kafka-based microservices to building predictive analytics solutions with 85% model accuracy, I focus on creating practical solutions that scale.

Currently seeking Software Engineer and Java Backend Developer opportunities where I can contribute to high-impact products while continuing to grow as a developer.

25%
Latency Cut
100%
Test Coverage
85%
Model Accuracy
Tech Stack

Skills & Technologies

Programming Languages
Java Python SQL
Frameworks & Technologies
Spring Boot Spring Data JPA Apache Kafka REST APIs Microservices JUnit Maven
Databases
MySQL MongoDB H2 Database
Tools
Git / GitHub Postman IntelliJ IDEA VS Code Tableau Pandas Jira
Core Concepts
DSA OOP DBMS Operating Systems System Design Clean Architecture Agile CI/CD Fundamentals
Career

Professional Experience

Software Engineering Job Simulation Simulation
Feb 2026
JPMorgan Chase & Co. · Remote
  • Built a Spring Boot microservice using Apache Kafka, achieving a 25% reduction in transaction message latency.
  • Implemented data persistence with Spring Data JPA and H2 database for reliable balance updates.
  • Integrated external REST APIs and developed RESTful endpoints for end-to-end transaction workflows.
  • Achieved 100% unit test coverage with JUnit, ensuring code reliability and maintainability.
  • Applied clean architecture principles to improve code scalability and long-term maintainability.
Engineering Intern — Data Science & ML
Jan 2026 – May 2026
International Institute of Medical Science & Technology Council (IIMSTC) · Remote
  • Collaborated with cross-functional teams on project design, system testing, and technical documentation aligned with UN SDG goals.
  • Applied ML concepts and research methodologies to engineering projects, contributing to data-driven decisions.
  • Assisted in data collection, preprocessing, and analysis pipelines to support research outcomes.
  • Participated in technical discussions, knowledge-sharing sessions, and project reviews.
Work

Featured Projects

☕
Spring Boot Kafka Microservice
Production-grade financial transaction microservice built for the JPMorgan simulation — Apache Kafka messaging, Spring Data JPA persistence, full REST API coverage, and 100% JUnit test coverage.
💡 Reduced transaction message latency by 25% through optimised Kafka producer/consumer configuration and clean architecture principles.
Java Spring Boot Apache Kafka Spring Data JPA JUnit H2 Database
📊
Customer Churn Prediction & Retention Analysis
Analysed 10,000+ customer records using Python and SQL to identify key churn drivers. Built interactive Tableau dashboards and automated feature engineering pipelines with Pandas.
💡 Logistic Regression model hit 85% accuracy — targeted retention strategies projected to reduce churn by 15%.
Python SQL Tableau Pandas Logistic Regression
Recognition & Leadership

Awards & Highlights

🤖
Promptathon 2025 Finalist
24-hour AI hackathon finalist; used LLMs to automate business task prioritisation.
🎪
Event Coordinator
Led cross-functional logistics for Acharya Habba Fest, coordinating large-scale campus events.
🗣️
Peer Leadership
Hosted technical forums and community sessions to improve collaboration and communication.
🏆
VTU State Champion
State-level winner in Baseball & Softball (2024) — discipline and team management.
Get In Touch

Let's Connect

Open to SDE internships, full-time roles, and interesting collaborations. Whether you want to talk Java, Kafka, or data — my inbox is open.

✉ Email in LinkedIn ⌥ GitHub ☎ +91 63607 05479