Manjunath G K
@manjunathgk
Java and cloud-focused software engineer-in-training building resilient distributed systems and observability-driven platforms.
What I'm looking for
I’m a Computer Science engineering student (2027, 8.8 CGPA) with hands-on expertise in distributed systems, service reliability, and cloud microservices. I’m passionate about driving operational excellence through telemetry-driven development, especially for mission-critical database workloads.
Through my Virtual Intern – Java Technology Stack experience at Infosys Springboard, I built resilient backend services with Java/Spring Boot inside a CI/CD environment. I also optimized PostgreSQL distributed query systems using schema normalization, reducing latency by 20% to improve high availability for production-grade workloads.
My projects reflect how I think about reliability, scale, and developer productivity. For “Real-Time Log Monitoring,” I architected a telemetry-driven observability platform that processed 5000+ requests/sec, achieving 99.9% service reliability while integrating automated alerting to reduce MTTR during simulated outages.
Across “FileGuard X” and “CarbonLite,” I focused on cloud-native capacity infrastructure, security, and data readiness—implementing SHA-256 hashing for integrity and building a responsive analytics experience with React and Scikit-learn. I want to leverage strong object-oriented programming fundamentals to engineer scalable capacity management infrastructure and AI-ready platform primitives, with the goal of delivering measurable reliability, security, and performance improvements.
Experience
Work history, roles, and key accomplishments
Engineered resilient Java/Spring Boot backend services in a CI/CD workflow to support cross-functional data pipelines. Optimized PostgreSQL distributed query performance via schema normalization, reducing latency by 20% to support high-availability workloads.
Education
Degrees, certifications, and relevant coursework
UBDT College of Engineering
Bachelor of Engineering, Computer Science
2023 -
Grade: CGPA: 8.8 / 10
B.E. in Computer Science at UBDT College of Engineering (VTU) from 2023–2027, with a CGPA of 8.8/10.
Anubhavamantapa PU College
Pre-University (Science Stream), Science (PCMB)
2021 - 2023
Grade: Board Examination Percentage: 92%
Studied the Science Stream (PCMB) at Anubhavamantapa PU College from 2021–2023, achieving 92% in board examinations.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/Manjunath-G-KSocial media
Job categories
Skills
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