I am a backend-focused Software Engineer with 5+ years of experience specializing in Java, Spring Boot, and Cloud Architectures. Currently, I'm pursuing my Master’s in Computer Science at UNC-Chapel Hill (Exp. May 2026), focusing on distributed systems and GenAI integration.
- Ex-SDE 2 at Redyhire: Architected a Microservices-based ingestion engine using Java/Spring Boot and AWS DynamoDB, reducing latency by 70% using hashing-based updates.
- Full-Stack Expertise: Proficient in building scalable RESTful APIs, implementing Hibernate/JPA persistence layers, and deploying via Docker/AWS.
- Problem Solver: Active on LeetCode and passionate about algorithmic optimization (check out my MatchWise project!).
- Languages: Java (8/11/17+), Python, SQL, JavaScript (ES6+)
- Backend: Spring Boot, Spring Security (OAuth2), Hibernate/JPA, Node.js
- Frontend: React, Flutter, Angular
- Cloud & DevOps: AWS (Lambda, S3, EC2, DynamoDB), Docker, Jenkins, CI/CD
- Databases: PostgreSQL, MySQL, MongoDB, TiDB
An intelligent TA/RA allocation system built with Python (PuLP) and Firebase.
- Implemented a stable marriage-based matching engine.
- Achieved 100% stable matches and reduced administrative overhead by 90%.
A chrome extension which streamlines the process of tracking job applications by automatically parsing job postings and sending the details to a Google Sheet.
- Tech: Node.js, React, Google sheets.
🔗 TinyURL
A project undertaken learn System Design.
- Tech: Java, Spring Boot 3.5.10, bootstrap@5.3.8 -> later React, DB : Docker/PostgreSQL with Flyway Migrations
- LinkedIn: linkedin.com/in/kk85unc
- Portfolio: go.unc.edu/KrishnaKunal
- Email: kunalkrishna85@gmail.com
“Focusing on writing clean, maintainable code and solving complex problems—one microservice at a time.”